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£59.00

Duration: 7 Hours 6 Minutes

41 Course Videos

Microsoft SQL Server 2019 – Big Data

This course focuses on one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will be shown how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For instance, you can stream large volumes of data from Apache Spark in real-time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. This course provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You will be shown how to configure and deploy Big Data Clusters. You will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.

What you will learn:

What a Big Data Cluster is
How to deploy BDC
How to analyze large volumes of data directly from SQL Server
How to analyze large volumes of data via Apache Spark
How to manage data stored in HDFS from SQL Server as if it were relational data
How to implement advanced analytics solutions through machine learning
How to expose different data sources as a single logical source using data virtualization

This course is intended for data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments.

Course Videos

This course contains the following modules and videos. Click the down arrow to view video details.

Module 1: What are Big Data Clusters?

Module 2: Big Data Cluster Architecture

Module 3: Deployment of Big Data Clusters

Module 4: Loading and Querying Data in Big Data Clusters

Module 5: Working with Spark in Big Data Clusters

Module 6: Machine Learning on Big Data Clusters

Module 7: Create and Consume Big Data Cluster Apps

Module 8: Maintenance of Big Data Clusters

Our Learning System Includes

Instructor Led Lectures

All of our IT Courses recreate a real time class experience with a highly qualified and experienced instructor delivering the course’s theories and concepts on screen. All of our lectures are pre-recorded and available to the user 24/7. They can easily be paused, repeated, rewound and fast-forwarded.

Visual Presentations

We understand that all students are different when it comes to learning, therefore different types of delivery mediums are needed in order to achieve success for students. Taking that into account, we deliver our content in a variety of different ways to ensure that students stay engaged and productive throughout their courses.

Mobile Optimisation & Progress Tracking

Our courses are optimised for all mobile devices allowing users to learn on the go whenever they have spare time and wish to do so. Users can access their courses from anywhere and their progress is completely tracked and recorded delivering peace of mind to each and every user.

Practice Quizzes and Exams

Our custom practice exams prepare students for their exams differently and more effectively than the traditional exam preps on the market. Students will have practice quizzes after each module to ensure that they are confident on the topic they are learning.

World Class Learning Management System

We provide the next generation Learning Management System (LMS) to all of our students. This is an experience that combines the feature set of traditional LMS with advanced functionality designed to make learning management easy and online learning engaging from the student’s perspective.