Muutke küpsiste eelistusi

E-raamat: MC Microsoft Certified Azure Data Fundamentals Study Guide: Exam DP-900

4.50/5 (5 hinnangut Goodreads-ist)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 14-Apr-2022
  • Kirjastus: Sybex Inc.,U.S.
  • Keel: eng
  • ISBN-13: 9781119855859
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 46,92 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
MC Microsoft Certified Azure Data Fundamentals Study Guide: Exam DP-900Suurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 14-Apr-2022
  • Kirjastus: Sybex Inc.,U.S.
  • Keel: eng
  • ISBN-13: 9781119855859
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The most authoritative and complete study guide for people beginning to work with data in the Azure cloud

In MC Azure Data Fundamentals Study Guide: Exam DP-900, expert Cloud Solution Architect Jake Switzer delivers a hands-on blueprint to acing the DP-900 Azure data certification. The book prepares you for the test – and for a new career in Azure data analytics, architecture, science, and more – with a laser-focus on the job roles and responsibilities of Azure data professionals.

You’ll receive a foundational knowledge of core data concepts, like relational and non-relational data and transactional and analytical data workloads, while diving deep into every competency covered on the DP-900 exam. You’ll also get:

  • Access to complimentary online study tools, including hundreds of practice exam questions, electronic flashcards, and a searchable glossary
  • Additional prep assistance with access to Sybex’s superior interactive online learning environment and test bank
  • Walkthroughs of skills and knowledge that are absolutely necessary for current and aspiring Azure data pros in introductory roles

Perfect for anyone just beginning to work with data in the cloud, MC Azure Data Fundamentals Study Guide: Exam DP-900 is a can’t-miss resource for anyone prepping for the DP-900 exam or considering a new career working with Azure data.

Introduction xvii
Assessment Test xxvi
Answers to the Assessment Test xxxix
Chapter 1 Core Data Concepts
1(48)
Describe Types of Core Data Workloads
2(1)
Data Value
3(7)
Data Volume
10(1)
Data Variety
11(3)
Data Velocity
14(7)
Describe Data Analytics Core Concepts
21(1)
Data Processing Techniques
21(11)
Describe Analytics Techniques
32(2)
Describe Data Visualization Techniques
34(6)
Summary
40(1)
Exam Essentials
41(3)
Review Questions
44(5)
Chapter 2 Relational Databases in Azure
49(90)
Relational Database Features
51(1)
Relational Database Design Considerations
51(10)
Relational Database Offerings in Azure
61(2)
Azure SQL
63(27)
Azure Synapse Analytics Dedicated SQL Pools
90(2)
Open-Source Databases in Azure
92(4)
Management Tasks for Relational Databases in Azure
96(1)
Deployment Scripting and Automation
96(9)
Migrating to Azure SQL
105(1)
Database Security
106(7)
Common Connectivity Issues
113(2)
Management Tools
115(4)
Query Techniques for SQL
119(1)
DDL vs. DML Commands
120(5)
Query Relational Data in Azure SQL, MySQL, MariaDB, and PostgreSQL
125(4)
Summary
129(1)
Exam Essentials
130(2)
Review Questions
132(7)
Chapter 3 Nonrelational Databases in Azure
139(38)
Nonrelational Database Features
140(1)
Key-Value Store
141(1)
Document Database
142(1)
Columnar Database
143(1)
Graph Database
144(1)
Azure Cosmos DB
145(1)
High Availability
146(2)
Request Units
148(2)
Azure Cosmos DB APIs
150(4)
Management Tasks for Azure Cosmos DB
154(1)
Deployment Options
154(11)
Azure Cosmos DB Security
165(2)
Azure Cosmos DB Common Connectivity Issues
167(2)
Management Tools
169(1)
Summary
170(1)
Exam Essentials
171(3)
Review Questions
174(3)
Chapter 4 File, Object, and Data Lake Storage
177(48)
File and Object Storage Features
178(1)
Azure Storage
179(1)
Performance Tiers
180(1)
Data Redundancy
181(1)
Deploying through the Azure Portal
182(5)
Azure Storage Services
187(11)
Management Tasks for Azure Storage
198(1)
Deployment Scripting and Automation
198(3)
Azure Storage Security
201(11)
Azure Storage Common Connectivity Issues
212(1)
Management Tools
213(4)
Summary
217(1)
Exam Essentials
218(3)
Review Questions
221(4)
Chapter 5 Modern Data Warehouses in Azure
225(76)
Analytical Workload Features
226(1)
Transactional vs. Analytical Workloads
226(3)
Data Processing Techniques
229(4)
Modern Data Warehouse Components
233(1)
Data Modeling Best Practices for Data Warehouses
233(1)
Azure Services for Modern Data Warehouses
234(34)
End-to-End Analytics with Azure Synapse Analytics
268(2)
Deploying an Azure Synapse Analytics Workspace
270(1)
Navigating the Synapse Studio UI
271(4)
Dedicated SQL Pools
275(12)
Serverless SQL Pools
287(5)
Summary
292(1)
Exam Essentials
293(2)
Review Questions
295(6)
Chapter 6 Reporting with Power BI
301(28)
Power BI at a Glance
302(1)
Working with Power BI
303(21)
Summary
324(1)
Exam Essentials
325(1)
Review Questions
326(3)
Appendix Answers to the Review Questions
329(10)
Chapter 1 Core Data Concepts
330(1)
Chapter 2 Relational Databases in Azure
331(2)
Chapter 3 Nonrelational Databases in Azure
333(1)
Chapter 4 File, Object, and Data Lake Storage
334(1)
Chapter 5 Modern Data Warehouses in Azure
335(2)
Chapter 6 Reporting with Power BI
337(2)
Index 339
ABOUT THE AUTHOR

JAKE SWITZER is a Cloud Solution Architect at Microsoft specializing in Big Data and Advanced Analytics. He has worked with major athletics customers like the NBA, NFL, MLB, and the USGA on architecting and proving out big data and advanced analytics solutions in Azure.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97811198558592e.html
Märksõnad: