Explore SQL Server’s Depths with Microsoft SQL – SQL Big Data Course
Delve into the world of SQL Server through our Microsoft SQL – SQL Big Data course, where you’ll unveil the powerful tool of SQL Big Data Clusters. Dive into data virtualization and lakes, creating a comprehensive artificial intelligence (AI) and machine learning (ML) platform embedded within the SQL Server database engine.
Master SQL Server’s Game-Changing Capability with Microsoft SQL – SQL Big Data Course
Uncover the remarkable power of SQL Big Data Clusters within SQL Server through our dedicated course. Delve into the world of data virtualization and data lakes, exploring the comprehensive artificial intelligence (AI) and machine learning (ML) platform seamlessly integrated into the SQL Server database engine. Discover how to leverage Big Data Clusters to amalgamate vast streams of real-time data and traditional database-stored data. Imagine streaming copious data from Apache Spark while simultaneously executing Transact-SQL queries to fetch pertinent additional data from your corporate SQL Server database.
This online course equips you with the essential skills to start working effectively with SQL Big Data Clusters in SQL Server. You’ll grasp the architectural underpinnings composed of Kubernetes, Spark, HDFS, and SQL Server on Linux. Learn to configure and deploy Big Data Clusters, unlocking SQL Server’s full potential: unifying diverse data types from disparate sources into a cohesive view beneficial for business intelligence and machine learning analysis.
What You’ll Learn:
– Definition and concept of a Big Data Cluster
– Deployment procedures for BDC
– Analyzing substantial data volumes directly from SQL Server
– Analyzing vast data volumes through Apache Spark
– Managing HDFS-stored data in SQL Server as if it were relational data
– Implementing advanced analytics via machine learning
– Employing data virtualization to present different data sources as a single logical source
This Microsoft SQL – SQL Big Data course targets data engineers, data scientists, data architects, and database administrators seeking to harness the power of data virtualization and big data analytics within their environments.