Book Image

Limitless Analytics with Azure Synapse

By : Prashant Kumar Mishra
Book Image

Limitless Analytics with Azure Synapse

By: Prashant Kumar Mishra

Overview of this book

Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.
Table of Contents (20 chapters)
1
Section 1: The Basics and Key Concepts
4
Section 2: Data Ingestion and Orchestration
8
Section 3: Azure Synapse for Data Scientists and Business Analysts
14
Section 4: Best Practices

Use cases with Cognitive Services

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...