Microsoft SQL – SQL Big Data » Optima : Elevating Digital Learning

Delve deep into the world of SQL Server through our Microsoft SQL – SQL Big Data course, where you’ll uncover the power of SQL Big Data Clusters, one of its most invaluable tools. This course will take you on a journey into data virtualization and lakes, enabling you to construct a comprehensive artificial intelligence (AI) and machine learning (ML) platform directly within the SQL Server database engine.

Key Highlights of the SQL Big Data Course:

This SQL Big Data course shines a spotlight on SQL Big Data Clusters, a transformative feature within SQL Server. You’ll gain insights into data virtualization and data lakes, unlocking the potential of creating a robust artificial intelligence (AI) and machine learning (ML) platform seamlessly integrated with the SQL Server database engine. The course demonstrates how to leverage Big Data Clusters to merge large streams of real-time data from Apache Spark with data stored in a conventional corporate SQL Server database.

What You’ll Learn:

The fundamentals of a Big Data Cluster (BDC)
Deploying BDC
Analyzing substantial data volumes directly from SQL Server
Analyzing extensive data volumes through Apache Spark
Managing data stored in HDFS (Hadoop Distributed File System) from SQL Server as if it were relational data
Implementing advanced analytics solutions through machine learning
Exposing various data sources as a single logical source using data virtualization

This Microsoft SQL – SQL Big Data course caters to data engineers, data scientists, data architects, and database administrators keen on integrating data virtualization and big data analytics into their environments.

Curriculum

8 Sections
8 Lessons
3 Weeks

Expand all sectionsCollapse all sections

Module 1: What are Big Data Clusters?
1
- 1.1
  Module 1: What are Big Data Clusters?
Module 2: Big Data Cluster Architecture
1
- 2.1
  2.1 Introduction
Module 3: Deployment of Big Data Clusters
1
- 3.1
  3.1 Introduction
Module 4: Loading and Querying Data in Big Data Clusters
1
- 4.1
  4.1 Introduction
Module 5: Working with Spark in Big Data Clusters
1
- 5.1
  5.1 Introduction
Module 6: Machine Learning on Big Data Clusters
1
- 6.1
  6.1 Introduction
Module 7: Create and Consume Big Data Cluster Apps
1
- 7.1
  7.1 Introduction
Module 8: Maintenance of Big Data Clusters
1
- 8.1
  8.1 Introduction

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What is the main focus of the Microsoft SQL – SQL Big Data course?

The course primarily focuses on SQL Big Data Clusters, an impactful feature of SQL Server. It aims to teach students about data virtualization and data lakes, which are used to build a comprehensive AI and ML platform within the SQL Server database engine.

Who is this course suitable for?

This course is perfect for data engineers, data scientists, data architects, and database administrators. It’s especially beneficial for those who want to apply data virtualization and big data analytics in their environments.

What will I learn from this course?

The course covers a variety of topics, including understanding what a Big Data Cluster is, how to deploy and manage it, and how to analyze large volumes of data directly from SQL Server or via Apache Spark. It also shows how to implement advanced analytics solutions through machine learning, and how to expose different data sources as a single logical source using data virtualization.

Who will be my instructor for this course?

Your instructor will be James Ring-Howell, a Microsoft Certified Trainer and Developer with over 40 years of experience in the field. He has developed applications for a variety of industries and has been teaching technology courses for over 20 years.

What does the course structure look like?

The course is divided into 8 modules, each focusing on a specific aspect of Big Data Clusters. It starts with an introduction to Big Data Clusters and their architecture, then moves on to deployment, data loading and querying, working with Spark, machine learning, creating and consuming Big Data Cluster Apps, and finally maintenance of Big Data Clusters.

How long is the course and what materials are provided?

The course includes 7 training hours, presented across 41 videos and 8 topics. Additionally, there are 75 practice questions to help reinforce your understanding of the material.

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