Data
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You're reading from  Learning Hunk

Product typeBook
Published inDec 2015
Reading LevelIntermediate
Publisher
ISBN-139781782174820
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Analysis
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Authors (2):
Dmitry Anoshin
Dmitry Anoshin
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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.
Read more about Dmitry Anoshin

Sergey Sheypak
Sergey Sheypak
author image
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.
Read more about Sergey Sheypak

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Introducing Pivot

A data model is a semantic layer that makes Hunk a powerful analytical tool for business users. Pivot is a user-friendly interface where anyone can create complex multidimensional reports or interactive dashboards that can be distributed across colleagues.

Let's explore the Pivot UI. Click on Pivot, select the Unicorn Fashion Digital Analytics data model, and Pivot UI will come up:

Pivot UI consists of the following main elements:

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Learning Hunk
Published in: Dec 2015Publisher: ISBN-13: 9781782174820
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Authors (2)

author image
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.
Read more about Dmitry Anoshin

author image
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.
Read more about Sergey Sheypak

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Pivot element

Definition

Filters (1)

This is used to cut down the result count for the object. There are restrictions in addition to those that might be applied via constraints or other means in the object's definition. All Pivots are filtered by time range. We can optionally add one or more filters by attribute.

Split Rows (2)

This splits out the Pivot results by row. For example, we could use this element to configure a page view object to display a row for each month of the past year, thus breaking out the page view count by month.

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