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Empowering Learning, Everywhere:

Driving Innovation in Business Intelligence, Shaping Tomorrow's Data Engineers and Scientists.

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Self-Paced Learning

Enhance your analytics skills based on your plan and readiness! Opt for self-paced learning to maximize flexibility and become an expert in the BDB Platform from the comfort of your preferred location.

BDB Platform Overview

  • Workflow 1: Covers uploading a sample file to the Sandbox. Involves data preparation, creating a data store, and generating a self-service report.
  • Workflow 2: Demonstrates how to upload multiple data files to a location. Includes creating a data pipeline to read the data, forming a Data Store Meta Data, and generating a self-service report bbased on it.
  • Workflow 3: Involves Data Science Lab project creation. Includes model creation using built-in algorithms, publishing the model as an API, and exploring the AutoML feature.
  • Workflow 4: Explores Self-Services Report functionalities. Shows various potential yet user-friendly features to create an intuitive and informative report in minutes.
  • Workflow 5: Focuses on Governed Dashboard development using built-in templates. Familiarizes the user with the framework of our state-of-the-art visualization tool.
  • Workflow 6: Covers automated data processing using a data pipeline framework. Includes AutoML and NLP-based self-service report creation for data discovery.

Dashboard Designer:

  • Workflow 1: Demonstrates creation of a sample HR Recruitment Dashboard with the help of Dashboard Designer and the Data Centre module Utilizes the MySQL database as the data connector.
  • Workflow 2: Illustrates the functionality of the API Ingestion Component and a Web Socket showcased through a basic Feedback Analysis Dashboard.
  • Workflow 3: Guides users on creating interactive dashboards using a file as a data connector, leveraging the Dashboard Designer Plugin.

Self-Service Report:

  • Workflow 1: Generate a Self-Service report by uploading a CSV file into the sandbox.
  • Workflow 2: Develop a Self-Service report by connecting to a ClickHouse database.
  • Workflow 3: Build a Self-Service report by connecting to a Data Store Meta Data.

Data Pipeline -

  • Workflow 1: Creates a Job to migrate data from a source to destination with the basic data transformation.
  • Workflow 2: Reads CSV/Excel files from an SFTP location, splits the files, ensuring data quality through data preparation. Leverage AutoML techniques to extract valuable insights and store the processed data into databases (ClickHouse and MongoDB).
  • Workflow 3: Enables seamless data ingestion from an API source. Ensures data quality through data preparation, leverages AutoML techniques for valuable insights, and stores processed data into a database.

Dashboard Designer

  • Workflow 1: Demonstrates creation of a sample HR Recruitment Dashboard with the help of Dashboard Designer and the Data Centre module Utilizes the MySQL database as the data connector.
  • Workflow 2: Illustrates the functionality of the API Ingestion Component and a Web Socket showcased through a basic Feedback Analysis Dashboard.
  • Workflow 3: Guides users on creating interactive dashboards using a file as a data connector, leveraging the Dashboard Designer Plugin.
  • Workflow 4: Explains the process of creating data sets and data sheets, and how to utilize them for generating interactive dashboards.
  • Workflow 5: Details the creation of a sales analysis dashboard using a CSV file and a custom chart component in the Dashboard Designer.
  • Workflow 6: Illustrates the creation of a sales analysis dashboard using a data store connector in Dashboard Designer.

Self-Service Report:

  • Workflow 1: Generate a Self-Service report by uploading a CSV file into the sandbox.
  • Workflow 2: Develop a Self-Service report by connecting to a ClickHouse database.
  • Workflow 3: Build a Self-Service report by connecting to a Data Store Meta Data.

Data Science Lab

  • Workflow 1: Concentrates on the Data Science Lab module facilitating Project and Notebook creation. Emphasizes model building and data pipeline creation to store outputs in the Data Sandbox.
  • Workflow 2: Explains the creation of forecasting models using in-built algorithms. Highlights the utility and artifact features of the Data Science Lab.
  • Workflow 3: Emphases on creating a churn prediction model. Focuses on the productionization process using a data pipeline and writing the model output to the Data Sandbox.

Data Pipeline

  • Workflow 1: Creates a Job to migrate data from a source to destination with the basic data transformation.
  • Workflow 2: Reads CSV/Excel files from an SFTP location, splits the files, ensuring data quality through data preparation. Leverage AutoML techniques to extract valuable insights and store the processed data into databases (ClickHouse and MongoDB).
  • Workflow 3: Enables seamless data ingestion from an API source. Ensures data quality through data preparation, leverages AutoML techniques for valuable insights, and stores processed data into a database.
  • Workflow 4: Demonstrates a data pipeline creation with Data Preparation and two outputs (Database and WebSocket).
  • Workflow 5: Smoothens process of data handling, starts with receiving data from a specified Kafka topic. Data undergoes data preparation for quality and consistency. Applies AutoML techniques to extract valuable insights and store processed data in a database for analysis and retrieval. Efficiently handles data generation, utilizes ML for insights, and maintains a structured data repository.

Dashboard Designer

  • Workflow 1: Demonstrates creation of a sample HR Recruitment Dashboard with the help of Dashboard Designer and the Data Centre module Utilizes the MySQL database as the data connector.
  • Workflow 2: Illustrates the functionality of the API Ingestion Component and a Web Socket showcased through a basic Feedback Analysis Dashboard.
  • Workflow 3: Guides users on creating interactive dashboards using a file as a data connector, leveraging the Dashboard Designer Plugin.
  • Workflow 4: Explains the process of creating data sets and data sheets, and how to utilize them for generating interactive dashboards.
  • Workflow 5: Details the creation of a sales analysis dashboard using a CSV file and a custom chart component in the Dashboard Designer.
  • Workflow 6: Illustrates the creation of a sales analysis dashboard using a data store connector in Dashboard Designer.

Self-Service Report:

  • Workflow 1: Creation of Self-Service report by uploading a CSV file in the sandbox.
  • Workflow 2: Creation of Self-Service report connecting to ClickHouse database.
  • Workflow 3: Creation of Self-Services connecting to Datastore metadata.

Data Engineering

As a Data Engineer, you specialize in designing and building the infrastructure that enables efficient data flow within an organization. Proficient in programming and database technologies, you create robust data pipelines, ensuring seamless ETL processes. Your role is crucial in establishing the foundation for effective Business Intelligence, empowering the organization to leverage data for informed decision-making. You are responsible for:

  • Ingestion: Creation of the data ingestion pipelines. (Workflow1)

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket.
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Data Scientist or citizen data scientist

Your primary focus as a Data Scientist, is on extracting valuable insights and predictions from complex and massive datasets. Proficient in statistical analysis, machine learning, and programming. You apply advanced algorithms to unveil patterns and trends. Your tasks include cleaning and preparing data for analysis, developing and training predictive models, and effectively communicating findings to stakeholders. You play a key role in guiding data-driven decision-making within the organization through a combination of analytical skills and domain expertise.

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow 5 - Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • AutoML
    Utilize DS Lab for AutoML model creation and seamless integration into the data pipeline.
  • Data Pipeline Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Workflow 6 - Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • Ds Lab
    Utilize DS Lab for machine learning model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Data Engineering

As a Data Engineer, you specialize in designing and building the infrastructure that enables efficient data flow within an organization. Proficient in programming and database technologies, you create robust data pipelines, ensuring seamless ETL processes. Your role is crucial in establishing the foundation for effective Business Intelligence, empowering the organization to leverage data for informed decision-making. You are responsible for:

  • Ingestion: Creation of the data ingestion pipelines. (Workflow1)

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self Service Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Data Scientist or citizen data scientist

Your primary focus as a Data Scientist, is on extracting valuable insights and predictions from complex and massive datasets. Proficient in statistical analysis, machine learning, and programming. You apply advanced algorithms to unveil patterns and trends. Your tasks include cleaning and preparing data for analysis, developing and training predictive models, and effectively communicating findings to stakeholders. You play a key role in guiding data-driven decision-making within the organization through a combination of analytical skills and domain expertise.

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow 5 – Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • AutoML
    Utilize DS Lab for AutoML model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Workflow 6 - Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • Ds Lab
    Utilize DS Lab for machine learning model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Data Engineering

As a Data Engineer, you specialize in designing and building the infrastructure that enables efficient data flow within an organization. Proficient in programming and database technologies, you create robust data pipelines, ensuring seamless ETL processes. Your role is crucial in establishing the foundation for effective Business Intelligence, empowering the organization to leverage data for informed decision-making. You are responsible for:

  • Ingestion: Creation of the data ingestion pipelines. (Workflow1)

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Data Scientist or citizen data scientist

Your primary focus as a Data Scientist, is on extracting valuable insights and predictions from complex and massive datasets. Proficient in statistical analysis, machine learning, and programming. You apply advanced algorithms to unveil patterns and trends. Your tasks include cleaning and preparing data for analysis, developing and training predictive models, and effectively communicating findings to stakeholders. You play a key role in guiding data-driven decision-making within the organization through a combination of analytical skills and domain expertise.

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket.
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow 5 – Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • AutoML
    Utilize DS Lab for AutoML model creation and seamless integration into the data pipeline.
  • Data Pipeline Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Workflow 6 - Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • Ds Lab
    Utilize DS Lab for machine learning model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Data Engineering

As a Data Engineer, you specialize in designing and building the infrastructure that enables efficient data flow within an organization. Proficient in programming and database technologies, you create robust data pipelines, ensuring seamless ETL processes. Your role is crucial in establishing the foundation for effective Business Intelligence, empowering the organization to leverage data for informed decision-making. You are responsible for:

  • Ingestion: Creation of the data ingestion pipelines. (Workflow1)

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket.
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data-Pipeline Workflow Document

Data Scientist or citizen data scientist

Your primary focus as a Data Scientist, is on extracting valuable insights and predictions from complex and massive datasets. Proficient in statistical analysis, machine learning, and programming. You apply advanced algorithms to unveil patterns and trends. Your tasks include cleaning and preparing data for analysis, developing and training predictive models, and effectively communicating findings to stakeholders. You play a key role in guiding data-driven decision-making within the organization through a combination of analytical skills and domain expertise.

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket.
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow 5 – Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • AutoML
    Utilize DS Lab for AutoML model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Workflow 6 - Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • Ds Lab
    Utilize DS Lab for machine learning model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Data Engineering

As a Data Engineer, you specialize in designing and building the infrastructure that enables efficient data flow within an organization. Proficient in programming and database technologies, you create robust data pipelines, ensuring seamless ETL processes. Your role is crucial in establishing the foundation for effective Business Intelligence, empowering the organization to leverage data for informed decision-making. You are responsible for:

  • Ingestion: Creation of the data ingestion pipelines. (Workflow1)

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket.
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Data Scientist or citizen data scientist

Your primary focus as a Data Scientist, is on extracting valuable insights and predictions from complex and massive datasets. Proficient in statistical analysis, machine learning, and programming. You apply advanced algorithms to unveil patterns and trends. Your tasks include cleaning and preparing data for analysis, developing and training predictive models, and effectively communicating findings to stakeholders. You play a key role in guiding data-driven decision-making within the organization through a combination of analytical skills and domain expertise.

Workflow1 - Business Intelligence

Learning & Exposure

  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow2 - Business Intelligence

Learning & Exposure

  • Data Sandbox and Datastore
    The creation of a Sandbox and Datastore using flat files like csv and Excel.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Self-Service Report Workflow Document

Workflow 3 - Data Engineer

Learning & Exposure

  • Data Extraction from AWS S3 Bucket
    Retrieve data from an AWS S3 bucket.
  • Datastore Metadata
    The creation of data store meta data for visualization.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for streamlined data preparation and transformation for analysis
  • Self-Service Report
    Self-Service Report An in-depth exploration of the Report module includes tabs, charts, filters, interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow4 - Data Engineer

Learning & Exposure

  • Data Store Meta Data
    The creation of data store meta data for visualization
  • DS Lab
    Utilize DS Lab for custom Python scripting and seamless integration into the data pipeline.
  • Data Preparation
    Hands-on experience with 100+ transformations, including SQL transforms and Auto-Prep.
  • Self Service Report
    An in-depth exploration of the Report module includes tabs, charts, filters interactions, AI/ML insights, and more.

Quick Tutorial all Data Pipeline Workflow Document

Workflow 5 – Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • AutoML
    Utilize DS Lab for AutoML model creation and seamless integration into the data pipeline.
  • Data Pipeline Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

Workflow 6 - Data Scientist or Citizen Data Scientist

Learning & Exposure

  • Data Center
    Exploration of Data Connector, Dataset, and Data Store Metadata features for visualization purpose.
  • Ds Lab
    Utilize DS Lab for machine learning model creation and seamless integration into the data pipeline.
  • Data Pipeline
    Extensive hands-on experience building data pipelines for AutoML model inferencing, extracting valuable insights from the data.
  • Self-Service Report and Governed Dashboard
    A thorough exploration of the Report and Dashboard modules for visualizing insightful data analytics derived from the data pipeline.

Quick Tutorial all DS Lab Workflow Document

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