Large volumes of data are generated daily from applications, websites, IoT devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data.
This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. From data ingestion to data visualization and advanced analytics, you’ll learn to take an end-to-end approach to maximize the value of unstructured data and drive powerful insights using data science capabilities. With real-world usage scenarios, you’ll discover how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. Throughout the chapters, you'll also find out how to manage big data as part of a software as a service (SaaS) platform, as well as tune, secure, and serve data to end users.
By the end of this book, you’ll have mastered the big data life cycle and you'll be able to implement advanced analytical scenarios from raw telemetry and log data.

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Spis treści

Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data eBook -- spis treści

• 1. Introducing Azure Synapse Data Explorer
• 2. Creating Your First Data Explorer Pool
• 3. Exploring Azure Synapse Studio
• 4. Real-World Usage Scenarios
• 5. Ingesting Data into Data Explorer Pools
• 6. Data Analysis and Exploration with KQL and Python
• 7. Data Visualization with Power BI
• 8. Building Machine Learning Experiments
• 9. Exporting Data from Data Explorer Pools
• 10. System Monitoring and Diagnostics
• 11. Tuning and Resource Management
• 12. Securing Your Environment
• 13. Advanced Data Management