Getting Started with Greenplum for Big Data Analytics

Name: Getting Started with Greenplum for Big Data Analytics
Brand: Packt Publishing Limited
SKU: 9781782177043
Price: 185.16 PLN
Availability: InStock

Autor: Sunila Gollapudi

Język:

Oprawa: Miękka

Wydawca: Packt Publishing Limited

Dostępność: Dostępna u dostawcy

Wysyłamy za 9-15 dni

185.16 zł

Organizations are leveraging the use of data and analytics to gain a competitive advantage over thei...

Informacje o książce

Autor

Sunila Gollapudi

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2013

strony

172

EAN

9781782177043

ISBN

9781782177043

Enbook ID

08842447

Wydawca

Packt Publishing Limited

Waga

334

Wymiary

234 x 200 x 14

Pełny opis

Organizations are leveraging the use of data and analytics to gain a competitive advantage over their opposition. Therefore, organizations are quickly becoming more and more data driven. With the advent of Big Data, existing Data Warehousing and Business Intelligence solutions are becoming obsolete, and a requisite for new agile platforms consisting of all the aspects of Big Data has become inevitable. From loading/integrating data to presenting analytical visualizations and reports, the new Big Data platforms like Greenplum do it all. It is now the mindset of the user that requires a tuning to put the solutions to work. "Getting Started with Greenplum for Big Data Analytics" is a practical, hands-on guide to learning and implementing Big Data Analytics using the Greenplum Integrated Analytics Platform. From processing structured and unstructured data to presenting the results/insights to key business stakeholders, this book explains it all. "Getting Started with Greenplum for Big Data Analytics" discusses the key characteristics of Big Data and its impact on current Data Warehousing platforms. It will take you through the standard Data Science project lifecycle and will lay down the key requirements for an integrated analytics platform. It then explores the various software and appliance components of Greenplum and discusses the relevance of each component at every level in the Data Science lifecycle. You will also learn Big Data architectural patterns and recap some key advanced analytics techniques in detail. The book will also take a look at programming with R and integration with Greenplum for implementing analytics. Additionally, you will explore MADlib and advanced SQL techniques in Greenplum for analytics. This book also elaborates on the physical architecture aspects of Greenplum with guidance on handling high-availability, back-up, and recovery.

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