Introducing the game-changing SQL Big Data course! Get ready to unlock the full potential of SQL Server and revolutionize your data analysis skills.
In this dynamic and exhilarating course, you will dive deep into the world of SQL Big Data Clusters—the cutting-edge feature that will take your data management abilities to new heights. Brace yourself for a transformative journey through the realm of artificial intelligence (AI) and machine learning (ML) within the SQL Server database engine.
Prepare to be amazed as you harness the incredible power of data virtualization and data lakes. With SQL Big Data Clusters, you’ll seamlessly merge vast volumes of streaming data with your existing data stores, bringing together the best of both worlds. Imagine streaming real-time data from Apache Spark while effortlessly executing Transact-SQL queries to access additional corporate data from your SQL Server database. The possibilities are boundless!
This course goes above and beyond to equip you with everything you need to become a SQL Big Data Clusters virtuoso. Uncover the architectural foundations of this revolutionary technology, comprising Kubernetes, Spark, HDFS, and SQL Server on Linux. Gain invaluable insights as you learn to configure and deploy Big Data Clusters with confidence and finesse.
But that’s not all—prepare to dazzle the world with your newfound skills! By mastering SQL Big Data Clusters, you’ll seamlessly combine disparate data sources into a single, comprehensive view. Empower your business intelligence efforts and propel your machine learning analyses to unprecedented heights.
As an added bonus, this course provides an opportunity to demonstrate your expertise with an optional certification exam. Showcase your mastery of SQL Big Data Clusters to employers and colleagues alike, setting yourself apart as a sought-after data professional.
Don’t miss this chance to embark on a thrilling learning adventure. Join us now and be at the forefront of the SQL Server revolution. Unleash the true potential of your data with SQL Big Data Clusters—where innovation meets limitless possibilities!
Optional Certification Exam: Upon successful completion of the course, you have the opportunity to take the certification exam, validating your proficiency in SQL Big Data Clusters. Stand out from the crowd and showcase your expertise to potential employers. The exam covers essential concepts, practical skills, and best practices in SQL Big Data Clusters, further cementing your status as a leading data professional.
- 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
For data engineers, data scientists, data architects, and database administrators who want to use data virtualization and big data analytics in their environments, this Microsoft SQL – SQL Big Data course is designed.
Course Outline:
Module 1: What are Big Data Clusters?
1.1 Introduction
1.2 Linux, PolyBase, and Active Directory
1.3 Scenarios
Module 2: Big Data Cluster Architecture
2.1 Introduction
2.2 Docker
2.3 Kubernetes
2.4 Hadoop and Spark
2.5 Components
2.6 Endpoints
Module 3: Deployment of Big Data Clusters
3.1 Introduction
3.2 Install Prerequisites
3.3 Deploy Kubernetes
3.4 Deploy BDC
3.5 Monitor and Verify Deployment
Module 4: Loading and Querying Data in Big Data Clusters
4.1 Introduction
4.2 HDFS with Curl
4.3 Loading Data with T-SQL
4.4 Virtualizing Data
4.5 Restoring a Database
Module 5: Working with Spark in Big Data Clusters
5.1 Introduction
5.2 What is Spark
5.3 Submitting Spark Jobs
5.4 Running Spark Jobs via Notebooks
5.5 Transforming CSV
5.6 Spark-SQL
5.7 Spark to SQL ETL
Module 6: Machine Learning on Big Data Clusters
6.1 Introduction
6.2 Machine Learning Services
6.3 Using MLeap
6.4 Using Python
6.5 Using R
Module 7: Create and Consume Big Data Cluster Apps
7.1 Introduction
7.2 Deploying, Running, Consuming, and Monitoring an App
7.3 Python Example – Deploy with azdata and Monitoring
7.4 R Example – Deploy with VS Code and Consume with Postman
7.5 MLeap Example – Create a yaml file
7.6 SSIS Example – Implement scheduled execution of a DB backup
Module 8: Maintenance of Big Data Clusters
8.1 Introduction
8.2 Monitoring
8.3 Managing and Automation
8.4 Course Wrap Up
Frequently Asked Questions About Microsoft SQL – SQL Big Data
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Your Training Instructor
James Ring-Howell
Microsoft Certified Trainer | Microsoft Certified Developer | Database Expert
James is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
