You're reading from Limitless Analytics with Azure Synapse An end-to-end analytics service for data processing, management, and ingestion for BI and ML

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800205659

Length 392 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Data Processing

Authors (2):

Saranya Ravichander

Prashant Kumar Mishra

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: The Basics and Key Concepts

2. Chapter 1: Introduction to Azure Synapse FREE CHAPTER

3. Chapter 2: Considerations for Your Compute Environment

4. Section 2: Data Ingestion and Orchestration

5. Chapter 3: Bringing Your Data to Azure Synapse

6. Chapter 4: Using Synapse Pipelines to Orchestrate Your Data

7. Chapter 5: Using Synapse Link with Azure Cosmos DB

8. Section 3: Azure Synapse for Data Scientists and Business Analysts

9. Chapter 6: Working with T-SQL in Azure Synapse

10. Chapter 7: Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse

11. Chapter 8: Integrating a Power BI Workspace with Azure Synapse

12. Chapter 9: Perform Real-Time Analytics on Streaming Data

13. Chapter 10: Generate Powerful Insights on Azure Synapse Using Azure ML

14. Section 4: Best Practices

15. Chapter 11: Performing Backup and Restore in Azure Synapse Analytics

16. Chapter 12: Securing Data on Azure Synapse

17. Chapter 13: Managing and Monitoring Synapse Workloads

18. Chapter 14: Coding Best Practices

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Cognitive Services are Microsoft-developed machine learning algorithms to solve problems in the field of artificial intelligence. Cognitive Services are categorized into five main categories:

Vision
Speech
Language
Decision
Search

Azure Cognitive Services are cloud-based services with REST APIs. You can build intelligent applications using client library SDKs. Go to the following link to learn about all supported APIs for different categories of Cognitive Services: https://docs.microsoft.com/en-us/azure/cognitive-services/what-are-cognitive-services.

Cognitive Services can be used to solve many day-to-day life problems without worrying about creating a new ML model from scratch. One of the best examples is extracted and enhanced texts from typewritten and handwritten notes, photos and diagrams, and other unstructured data from the John F. Kennedy (JFK) files, which contain over 34,000 pages of documents about the CIA...