The Modern Data Warehouse in Azure

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 3 (1)

Building with Speed and Agility on Microsoft's Cloud Platform

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

Building with Speed and Agility on Microsoft's Cloud Platform

Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast--fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business.

Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success.
This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations.

What You Will Learn
Choose the appropriate Azure SQL engine for implementing a given data warehouse

Develop smart, reusable ETL/ELT processes that are resilient and easily maintained

Automate mundane development tasks through tools such as PowerShell

Ensure consistency of data by creating and enforcing data contracts

Explore streaming and event-driven architectures for data ingestion
Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse

Who This Book Is For
Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2020

نویسنده

Matt How

ناشر

Apress

شابک

1484258223

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب The Modern Data Warehouse in Azure

The Modern Data Warehouse in Azure

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2020

نویسنده

ناشر

شابک

کتاب های مرتبط

Oracle Business Intelligence Enterprise Edition 11g

Apache Sqoop Cookbook

The SAP BW to HANA Migration Handbook

Learning Redis

Spend Analysis

Data Warehousing Advice For Managers

Designing a Total Data Solution

Teradata Users Guide

The Data Warehouse Ebusiness DBA Handbook

Building and Maintaining a Data Warehouse

Strategic Data Warehousing

Programming Hive

Oracle9i R2 Data Warehousing

Oracle9i R2 Data Warehousing

Data Warehousing

Data Center Fundamentals

Data Warehouses and OLAP

Processing and Managing Complex Data for Decision Support

Encyclopedia of Data Warehousing and Mining, Second Edition

Progressive Methods in Data Warehousing and Business Intelligence

Open Information Management

دیدگاه کاربران