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Learn Azure Synapse Data Explorer A Guide to Building Real-Time Analytics Solutions to Unlock Log and Telemetry Data /
A hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data Explorer Free PDF included with this book Key Features Augment advanced analytics projects with your IoT and application data Expand you...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2023.
|
| Edición: | 1st edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright and Credit
- Dedicated
- Contributors
- Table of Contents
- Preface
- Part 1: Introduction to Azure Synapse Data Explorer
- Chapter 1: Introducing Azure Synapse Data Explorer
- Technical requirements
- Understanding the lifecycle of data
- Introducing the Team Data Science Process
- Tooling and infrastructure
- The need for a fast and highly scalable data exploration service
- What is Azure Synapse?
- Data integration
- Enterprise data warehousing
- Exploration on the data lake
- Apache Spark
- Log and telemetry analytics
- Integrated business intelligence
- Data governance
- Broad support for ML
- Security and Managed Virtual Network
- Management interface
- What is Azure Synapse Data Explorer?
- Integrating Data Explorer pools with other Azure Synapse services
- Query experience integrated into Azure Synapse Studio's query editor
- Exploring, preparing, and modeling data with Apache Spark
- Data ingestion made easy with pipelines
- Unified management experience
- Exploring the Data Explorer pool infrastructure and scalability
- Data Explorer pool architecture
- Scalability of compute resources
- Managing data on distributed clusters
- Mission-critical infrastructure
- How much scale can Data Explorer handle?
- What makes Azure Synapse Data Explorer unique?
- When to use Azure Synapse Data Explorer
- Summary
- Chapter 2: Creating Your First Data Explorer Pool
- Technical requirements
- Creating a free Azure account
- Creating an Azure Synapse workspace
- Basics tab
- Security tab
- Networking tab
- Tags tab
- Review + create tab
- Finding your new workspace
- Creating a Data Explorer pool using Azure Synapse Studio
- Basics tab
- Additional settings tab
- Tags tab
- Review + create tab
- Creating a Data Explorer pool using the Azure portal
- Creating a Data Explorer pool using the Azure CLI
- Summary
- Chapter 3: Exploring Azure Synapse Studio
- Technical requirements
- Exploring the user interface of Azure Synapse Studio
- Running your first query
- Creating a database
- Loading the data
- Verifying whether your data has loaded successfully
- Working with data in Azure Synapse notebooks
- Saving your work and configuring source control
- Managing and monitoring Data Explorer pools
- Scaling Data Explorer pools
- Pausing and resuming pools
- Monitoring Data Explorer pools
- Summary
- Chapter 4: Real-World Usage Scenarios
- Technical requirements
- Building a multi-purpose end-to-end analytics environment
- Sources
- Ingest
- Store
- Process
- Enrich
- Serve
- User
- Summary
- Managing IoT data
- Processing and analyzing geospatial data
- Enabling real-time analytics with big data
- Performing time series analytics
- Summary
- Part 2: Working with Data
- Chapter 5: Ingesting Data into Data Explorer Pools
- Technical requirements
- Understanding the data loading process
- Defining a retention policy