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Learning Hunk

You're reading from Learning Hunk

Product type Book

Published in Dec 2015

Publisher

ISBN-13 9781782174820

Pages 156 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Dmitry Anoshin

Sergey Sheypak

View More author details

Table of Contents (14) Chapters

Learning Hunk

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Preface

1. Meet Hunk

2. Explore Hadoop Data with Hunk

3. Meeting Hunk Features

4. Adding Speed to Reports

5. Customizing Hunk

6. Discovering Hunk Integration Apps

7. Exploring Data in the Cloud

Index

Summary

In this chapter we met big data analytics and discovered challenges that can be overcome with Hunk. In addition, we learned about Hunk's history and its internal modes. Moreover, we explored Hunk's architecture and learned about virtual indexes and ERPs. In addition, we touched on some topics related to security. Finally, we started to prepare for technical exercises by setting up Hadoop and discovering real-world use cases.

In the next chapter, we will start to explore big data in Hadoop. We will work with SPL and create amazing visualizations.

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Published in: Dec 2015 Publisher: ISBN-13: 9781782174820

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Authors (2)

Dmitry Anoshin

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.

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Sergey Sheypak

Sergey Sheypak started his so-called big data practice in 2010 as a Teradata PS consultant. His was leading the Teradata Master Data Management deployment in Sberbank, Russia (which has 110 billion customers). Later Sergey switched to AsterData and Hadoop practices. Sergey joined the Research and Development team at MegaFon (one of the top three telecom companies in Russia with 70 billion customers) in 2012. While leading the Hadoop team at MegaFon, Sergey built ETL processes from existing Oracle DWH to HDFS. Automated end-to-end tests and acceptance tests were introduced as a mandatory part of the Hadoop development process. Scoring geospatial analysis systems based on specific telecom data were developed and launched. Now, Sergey works as independent consultant in Sweden.

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