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Interactive Analytics, Visualization and Data Modeling on large Hadoop Data Sets

The vision of Hadoop as more than a data store is finally a reality. Thanks to advances from SQL query engines like Spark SQL, Impala, Presto and Hive on Tez, big data technologies are now accessible for business analytics. With Looker, analysts can build a data model across all their data in Hadoop – easily transforming raw data into meaningful metrics and finally allowing business teams to access and explore years of stored data in Hadoop data sets.

Overcome analytic challenges on Hadoop data:

Get more from your Hadoop cluster by analyzing the data where it sits
No need to move or transform the data prior to performing analysis
Interact with your data through a familiar language – SQL on Hadoop
Create a single source of truth for your enterprise that’s governed by a data model
To learn more download this white paper.

How To Scale Business Intelligence With Hadoop- Based Platforms

Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers. In this report, application development and delivery (AD&D) pros working on BI initiatives will learn about the capabilities of distributed BI platforms mostly based on […]

Big Data Cybersecurity Analytics Research Report Ponemon Institute

In this report, Ponemon Institute is pleased to present the findings of Big Data Cybersecurity Analytics, sponsored by Cloudera.

SQL Engine Leads the Heard

In almost every organization, SQL is at the heart of enterprise data used in transactional systems, data warehouses, columnar databases and analytics platforms to name just a few examples. Additionally, a vast number of commercial and in-house developed tools used to access, manipulate and visualize data rely on SQL. SQL is lifeblood of the modern transaction and decision support systems.

TDWI Hadoop Readiness Guide

An organization’s readiness for Hadoop is not a single state held by a single entity. Corporations, government agencies, educational institutions, healthcare providers, and other types of organizations are complex in that they have multiple departments, lines of business, and teams for various business and technology functions. Each function can be at a different state of readiness for Hadoop, and each function can affect the success or failure of Hadoop programs.

Presto: Open Source for the Enterprise

Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger.

Hadoop Appliances and Teradata

A White paper by Philip Howard, Bloor Research International Ltd on critical considerations for Hadoop deployments and the role of appliances.

Leveraging big data to gain a competitive advantage across a range of industries

In their efforts to extract value from big data, organizations around the world are turning to the Hadoop big data collection, management and analysis platform. Hadoop offers two important services: store any kind of data from any source, inexpensively and at very large scale, and perform sophisticated analysis of that data easily and quickly. To learn more about Hadoop and big data download this white paper.

Hadoop for Dummies

Welcome to Hadoop For Dummies! Today, organizations in every industry are being showered with imposing quantities of new information. Along with traditional
sources, many more data channels and categories now exist. To learn more about Hadoop download this guide.

Top 5 Challenges for Hadoop MapReduce in the enterprise

Reporting and analysis drives businesses in making the best possible decisions. The source of all these decisions is the data. We explain the top 5 challenged for Hadoop MapReduce in the enterprise. Learn more by downloading this white paper.