Tableau and MapR: Power the Virtuous Cycle of Visual Analytics

Tableau and MapR: Power the Virtuous Cycle of Visual Analytics

Tableau at a Glance

Tableau Software® (NYSE: DATA) helps people see and understand data by enabling them to quickly analyze, visualize and share information.

Big Answers to Big Data Questions

Rapidly liberate insight from big data in Hadoop through visualization.
From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days, and the pace is accelerating. Today, more data is being manufactured by machines, servers and cell phones, than by people. (Human Face of Big Data, 2013).

The traditional data warehouse has long been the workhorse for crunching and storing structured data for analysis. However, today’s big data requirements exceed the design specifications of traditional data warehouses and ETL tools. As a result, organizations are turning to new architectures to wrangle their big data challenges.

Data analysis used to be the exclusive domain of experts in IT. Answering business questions followed a traditional waterfall development model: questions led to requirements, planning, development, quality assurance and finally user acceptance. Today’s business users are no longer willing to participate in prolonged, repetitive development cycles. Technology that allows iterative, selfservice analysis is now here: MapR® and Tableau link seamlessly together, enabling you to view and analyze massive and complex datasets across the organization.

Industry-Leading, Enterprise-Ready Big Data Analytics from MapR and Tableau

Get Fast Visualizations Combined with a Robust Data Platform

Enterprise-ready big data analytics requires a scalable, integrated architecture that combines fast, intuitive visualizations with a reliable, robust and highlyavailable data platform. The MapR Distribution for Apache™ Hadoop® serves as a cost-effective Enterprise Data Hub upon which Tableau inquiries may be quickly and seamlessly performed. Embedded Hadoop components such as Apache Drill™ enable rapid self-service queries as soon as data enters the cluster, without the need for upfront modeling or ETL. ODBC drivers shipped by MapR for Apache Hive™ and Impala allow Tableau to consume and analyze data distributed across multiple storage platforms.

About Tableau

Tableau Software (NYSE: DATA) helps people see and understand data. Seven words that drive everything we do. And they’ve never been more important. In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Within these data are huge, unparalleled opportunities for human advancement. We make analyzing data fast and easy, beautiful and useful. It’s software for anyone and everyone. We are Tableau Software.

About MapR

MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 500 customers across financial services, government, healthcare, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures.

Tableau Benefits

Easy to Use
Tableau 8.2 Desktop enables drag-and-drop visual analysis that is 10–100x faster than existing solutions

Share Dashboards Companywide.
Tableau 8.2 Server is a business intelligence application that provides browser-based analytics, including interactive consumption, editing, and from-scratch analysis.

Pay-as-You-Grow Economics.
Tableau scales in concert with your business growth.

MapR Benefits

Top-Ranked Hadoop Distribution.
One unified big data platform for Hadoop, NoSQL, database and streaming applications.

Proven Production Readiness.
Benefit from both open source community innovation as well as MapR architectural enhancements.

Consistent High Performance.
Eliminate downtime and performance bottlenecks, while ensuring business continuity