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Microsoft SQL 2019 – Big Data

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41 Videos
7.6 Hours
75 Test Questions

Course Description

Microsoft SQL 2019: Big Data

The Microsoft SQL Server 2019: Big Data course is designed for professionals who want to leverage SQL Server 2019’s capabilities for handling and analyzing large-scale data sets. This course explores the integration of SQL Server with big data technologies, focusing on how to work with large volumes of data efficiently. Participants will learn how to configure, manage, and analyze big data using SQL Server’s built-in tools and features, including the integration of Hadoop and Spark.

Key Features:

  • Big Data Architecture: Understand the architecture of SQL Server 2019’s big data capabilities, including its integration with Hadoop Distributed File System (HDFS) and Apache Spark.
  • Data Virtualization: Learn how to use SQL Server’s PolyBase feature to query and integrate data from various sources, including Hadoop and other external data stores, as if it were part of a single database.
  • Big Data Clusters: Explore the setup, configuration, and management of SQL Server Big Data Clusters, including deploying and scaling clusters and integrating them with other data processing tools.
  • Data Ingestion and Preparation: Discover techniques for ingesting and preparing large data sets for analysis, including using data lakes and staging data for further processing.
  • Advanced Analytics with Apache Spark: Gain insights into using Apache Spark with SQL Server to perform advanced analytics, including machine learning and large-scale data processing.
  • Performance Tuning and Optimization: Learn strategies for optimizing the performance of big data queries and operations, including tuning data storage and processing workflows.
  • Security and Data Governance: Understand best practices for securing big data environments, managing access controls, and ensuring data governance and compliance.
  • Data Visualization and Reporting: Explore tools and techniques for visualizing and reporting on big data, including integration with Power BI for interactive dashboards and insights.

This course equips professionals with the knowledge and skills needed to manage and analyze large-scale data using SQL Server 2019, enabling them to harness the power of big data technologies to drive informed business decisions.


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Step-by-Step Courses List

Chapter One:

Module 1: What are Big Data Clusters?

  • 1 Introduction
  • 2 Linux, PolyBase, and Active Directory
  • 3 Scenarios
Chapter Two:

Module 2: Big Data Cluster Architecture

  • 1 Introduction
  • 2 Docker
  • 3 Kubernetes
  • 4 Hadoop and Spark
  • 5 Components
  • 6 Endpoints
Chapter Three:

Module 3: Deployment of Big Data Clusters

  • 1 Introduction
  • 2 Install Prerequisites
  • 3 Deploy Kubernetes
  • 4 Deploy BDC
  • 5 Monitor and Verify Deployment
Chapter Four:

Module 4: Loading and Querying Data in Big Data Clusters

  • 1 Introduction
  • 2 HDFS with Curl
  • 3 Loading Data with T-SQL
  • 4 Virtualizing Data
  • 5 Restoring a Database
Chapter Five:

Module 5: Working with Spark in Big Data Clusters

  • 1 Introduction
  • 2 What is Spark
  • 3 Submitting Spark Jobs
  • 4 Running Spark Jobs via Notebooks
  • 5 Transforming CSV
  • 6 Spark-SQL
  • 7 Spark to SQL ETL
Chapter Six:

Module 6: Machine Learning on Big Data Clusters

  • 1 Introduction
  • 2 Machine Learning Services
  • 3 Using MLeap
  • 4 Using Python
  • 5 Using R
Chapter Seven:

Module 7: Create and Consume Big Data Cluster Apps

  • 1 Introduction
  • 2 Deploying, Running, Consuming, and Monitoring an App
  • 3 Python Example – Deploy with azdata and Monitoring
  • 4 R Example – Deploy with VS Code and Consume with Postman
  • 5 MLeap Example – Create a yaml file
  • 6 SSIS Example – Implement scheduled execution of a DB backup
Chapter Eight:

Module 8: Maintenance of Big Data Clusters

  •  8.1 Introduction
  •  8.2 Monitoring
  •  8.3 Managing and Automation
  •  8.4 Course Wrap Up

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Description

Microsoft SQL 2019: Big Data

The Microsoft SQL Server 2019: Big Data course is designed for professionals who want to leverage SQL Server 2019’s capabilities for handling and analyzing large-scale data sets. This course explores the integration of SQL Server with big data technologies, focusing on how to work with large volumes of data efficiently. Participants will learn how to configure, manage, and analyze big data using SQL Server’s built-in tools and features, including the integration of Hadoop and Spark.

Key Features:

  • Big Data Architecture: Understand the architecture of SQL Server 2019’s big data capabilities, including its integration with Hadoop Distributed File System (HDFS) and Apache Spark.
  • Data Virtualization: Learn how to use SQL Server’s PolyBase feature to query and integrate data from various sources, including Hadoop and other external data stores, as if it were part of a single database.
  • Big Data Clusters: Explore the setup, configuration, and management of SQL Server Big Data Clusters, including deploying and scaling clusters and integrating them with other data processing tools.
  • Data Ingestion and Preparation: Discover techniques for ingesting and preparing large data sets for analysis, including using data lakes and staging data for further processing.
  • Advanced Analytics with Apache Spark: Gain insights into using Apache Spark with SQL Server to perform advanced analytics, including machine learning and large-scale data processing.
  • Performance Tuning and Optimization: Learn strategies for optimizing the performance of big data queries and operations, including tuning data storage and processing workflows.
  • Security and Data Governance: Understand best practices for securing big data environments, managing access controls, and ensuring data governance and compliance.
  • Data Visualization and Reporting: Explore tools and techniques for visualizing and reporting on big data, including integration with Power BI for interactive dashboards and insights.

This course equips professionals with the knowledge and skills needed to manage and analyze large-scale data using SQL Server 2019, enabling them to harness the power of big data technologies to drive informed business decisions.


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7 reviews for Microsoft SQL 2019 – Big Data

  1. Angela R –

    Fantastic course! It helped me understand how to work with big data clusters in SQL Server 2019. The integration with HDFS and Spark was especially eye-opening.

  2. Vikram S –

    Very well explained! The practical examples on PolyBase and external tables helped me connect structured and unstructured data with ease

  3. Chelsea T. –

    I finally understand how SQL 2019 handles big data workloads. The instructor did a great job breaking down complex topics like scale-out storage and Kubernetes deployment

  4. Daniel W –

    Solid course overall, though it assumes some familiarity with Spark and Linux. Still a great resource for stepping into modern SQL Server environments

  5. Mohamed H –

    One of the few courses that explains how to blend relational data with big data inside SQL Server itself. Very helpful for hybrid data solutions.

  6. Rachel M –

    This course really opened my eyes to the power of SQL Server 2019’s big data capabilities. The section on managing external data sources was especially useful

  7. Harpreet K –

    A must for anyone serious about integrating big data with SQL Server. I loved the focus on PolyBase and how to query distributed data effectively

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