38,99 €
Getting Started with Greenplum for Big Data Analytics
Getting Started with Greenplum for Big Data Analytics
  • Išparduota
Getting Started with Greenplum for Big Data Analytics
Getting Started with Greenplum for Big Data Analytics
El. knyga:
38,99 €
Standard tutorial-based approach."Getting Started with Greenplum for Big Data" Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. It's assumed that you will have some experience with database design and programming as well as be familiar with analytics tools like R and Weka.
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 172
  • ISBN: 9781782177050
  • ISBN-10: 1782177051
  • ISBN-13: 9781782177050
  • Formatas: ACSM ?
  • Kalba: Anglų

Getting Started with Greenplum for Big Data Analytics (el. knyga) (skaityta knyga) | knygos.lt

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Standard tutorial-based approach."Getting Started with Greenplum for Big Data" Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. It's assumed that you will have some experience with database design and programming as well as be familiar with analytics tools like R and Weka.

38,99 €
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  • Autorius: Sunila Gollapudi
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 172
  • ISBN: 9781782177050
  • ISBN-10: 1782177051
  • ISBN-13: 9781782177050
  • Formatas: ACSM ?
  • Kalba: Anglų

Standard tutorial-based approach."Getting Started with Greenplum for Big Data" Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. It's assumed that you will have some experience with database design and programming as well as be familiar with analytics tools like R and Weka.

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