Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide
  • Toc
  • feedback
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

By : Steve Miles
5 (2)
close
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide

5 (2)
By: Steve Miles

Overview of this book

Microsoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure’s powerful data services capabilities. This comprehensive guide written by Steve Miles—a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms—serves as your gateway to a future shaped by data and AI, regardless of your technical background. With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies. To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tips By the end of this book, you’ll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven career
Table of Contents (11 chapters)
close

Describe the Difference between Batch and Streaming Data

Batch and streaming data are ways of processing data to fulfill organizations’ different needs and use cases.

In short, the main difference between batch and streaming data is when the data is processed; batch processing happens periodically, at regular/ scheduled intervals, whereas streaming processes data instantaneously as it arrives in near-real time.

The following sections will explore these two ways to process data.

What Is Batch Processing?

Batch data is processed regularly in large batches, where data is collected and stored over a period of time for later processing as a batch (as a collective action).

Batch processing is used in processes where time-sensitive or immediate processing is unnecessary – for example, overnight processing at the end of the day or end-of-month processing for financial reports. Most of the time, data does not need to be structured or ordered in any sequence.

...
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete