Ultimate Azure Synapse Analytics: Unlock the Full Potential of Azure Synapse Analytics to Seamlessly Integrate, Analyze, and Optimize Complex Data for … and Decision-Making (English Edition)
Author: Swapnil Mule (Author)
Publisher finelybook 出版社: Orange Education Pvt. Ltd
Publication Date 出版日期: 2024-06-29
Language 语言: English
Print Length 页数: 395 pages
ISBN-10: 8197256233
ISBN-13: 9788197256233
Book Description
Empower Your Data Insights with Azure Synapse Analytics
Book Description
Unlock the full potential of Azure Synapse Analytics with Ultimate Azure Synapse Analytics your definitive roadmap to mastering the art of data analytics in the cloud era. From the foundational concepts to advanced techniques, each chapter offers practical insights and hands-on tutorials to streamline your data workflows and drive actionable insights.
Discover how Azure Synapse Analytics revolutionizes data processing and integration, empowering you to harness the vast capabilities of the Azure ecosystem. Seamlessly transition from traditional data warehousing to cutting-edge big data analytics, leveraging serverless and dedicated resources for optimal performance. Dive deep into Synapse SQL, explore advanced data engineering with Apache Spark, and delve into machine learning and DevOps practices to stay ahead in today’s data-driven landscape.
Whether you’re seeking to optimize performance, ensure compliance, or facilitate seamless migration, this book provides the expertise needed to excel in your role. Gain valuable insights into industry best practices, enhance your data engineering skills, and drive innovation within your organization.
Table of Contents1. The World of Azure Synapse Analytics
2. Setting Up the Synapse Workspace
3. Synapse SQL and Data Exploration
4. Data Integration Technique
5. Big Data Engineering with Apache Spark
6. Machine Learning with Synapse
7. Implementing Security and Compliance
8. Performance Tuning and Optimization
9. DevOps for Data Engineering
10. Ensuring Implementation Success and Effective Migration
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