Screen LibraryData lakes for dummies /
Simon explains how data lakes differ from other data storage paradigms, then maps out ways you can add a data lake to your business systems; migrate existing information and switch on the fresh data supply; clean up the product; and open channels to the best intelligence software for interpreting wh...
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| Main Authors: | |
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| Published: |
For Dummies, a Wiley brand,
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| Publisher Address: | Hoboken, NJ : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
For dummies
Learning made easy |
| Subjects: | |
| Summary: |
Simon explains how data lakes differ from other data storage paradigms, then maps out ways you can add a data lake to your business systems; migrate existing information and switch on the fresh data supply; clean up the product; and open channels to the best intelligence software for interpreting what you've stored. Also includes how to: understand and build data lake architecture; store, clean, and synchronize new and existing data; compare the best data lake vendors; and structure raw data and produce usable analytics. |
| Item Description: | Includes index. |
| Carrier Form: | xiv, 367 pages : illustrations ; 24 cm. |
| ISBN: |
9781119786160 1119786169 |
| Index Number: | QA76 |
| CLC: | TP311.131 |
| Call Number: | TP311.131/S594 |
| Contents: | part 1. Getting started with data lakes: Jumping into the data lake ; Planning your day (and the next decade) at the data lake ; Break out the life vests : tracking data lake challenges -- part 2. Building the docks, avoiding the rocks: Imprinting your data lake on a reference architecture ; Anybody hungry? : ingesting and storing raw data in your bronze zone ; Your data lake's water treatment plant : the silver zone ; Bottling your data lake water in the gold zone ; Playing in the sandbox ; Fishing in the data lake ; Rowing end-to-end across the data lake -- part 3. Evaporating the data lake into the cloud: A cloudy day at the data lake ; Building data lkes in Amazon Web Services ; Building data lakes in Microsoft Azure -- part 4. Cleaning up the polluted data lake: Figuring out if you have a data swamp instead of a data lake ; Defining your data lake remediation strategy ; Refilling your data lake -- part 5. Making trips to the data lake a tradition: Checking your GPS : the data lake road map ; Bookin gfuture trips to the data lake -- part 6. The part of tens: Top ten reasons to invest in building a data lake ; Ten places to get help for your data lake ; Ten differences between a data warehouse and a data lake. |