Data Lakes for Dummies - Alan R Simon

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Auteur(s) : Alan R Simon

Editeur : Wiley

Langue : Anglais

Parution : 01/07/2021

Format : Moyen, de 350g à 1kg

Nombre de pages : 384

Expédition : 528

Dimensions : 23.1 x 18.4 x 2.7

ISBN : 1119786169

Résumé :

Take a dive into data lakes!

Data lakes are the latest must-have in data storage and data management. With a data lake, you can organize immense amounts of analytical data under one framework-no matter if your data is new or existing, or how much data you have. This guide explains how data lakes can help your business, what you can achieve with them, and what you need to do to create the data lake that best suits your business needs. Then you find out how to take that data and make insightful business decisions. Soon, your data lake will be your go-to destination for all your analytical data.

Inside. . .

• Add a data lake to your system
• Sync new data with existing data
• Migrate data to a data lake
• Analyze your data
• Scale up as your data grows
• Clean up a data dump
• Compare data lake solutions
• Troubleshoot your data

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Biographie:
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Sommaire:

Introduction 1

Part 1: Getting Started with Data Lakes 5

Chapter 1: Jumping into the Data Lake 7

Chapter 2: Planning Your Day (and the Next Decade) at the Data Lake 25

Chapter 3: Break Out the Life Vests: Tackling Data Lake Challenges 49

Part 2: Building the Docks, Avoiding the Rocks 65

Chapter 4: Imprinting Your Data Lake on a Reference Architecture 67

Chapter 5: Anybody Hungry? Ingesting and Storing Raw Data in Your Bronze Zone 97

Chapter 6: Your Data Lake's Water Treatment Plant: The Silver Zone 121

Chapter 7: Bottling Your Data Lake Water in the Gold Zone 139

Chapter 8: Playing in the Sandbox 151

Chapter 9: Fishing in the Data Lake 159

Chapter 10: Rowing End-to-End across the Data Lake 169

Part 3: Evaporating the Data Lake into the Cloud 187

Chapter 11: A Cloudy Day at the Data Lake 189

Chapter 12: Building Data Lakes in Amazon Web Services 199

Chapter 13: Building Data Lakes in Microsoft Azure 217

Part 4: Cleaning Up the Polluted Data Lake 243

Chapter 14: Figuring Out If You Have a Data Swamp Instead of a Data Lake 245

Chapter 15: Defining Your Data Lake Remediation Strategy 259

Chapter 16: Refilling Your Data Lake 283

Part 5: Making Trips to the Data Lake a Tradition 297

Chapter 17: Checking Your GPS: The Data Lake Road Map 299

Chapter 18: Booking Future Trips to the Data Lake 325

Part 6: The Part of Tens 333

Chapter 19: Top Ten Reasons to Invest in Building a Data Lake 335

Chapter 20: Ten Places to Get Help for Your Data Lake 341

Chapter 21: Ten Differences between a Data Warehouse and a Data Lake 345

Index 351