Big Data Analytics & Discovery

The Big Data Analytics Landscape

Trends, Innovations and New Business Value

In this program, Gartner Research Vice President Merv Adrian and Teradata Aster Co-President Tasso Argyros, answer those questions and more, including how to find the right solution for your organization - to make smarter decisions, take calculated risks, and gain deeper insights than your industry peers.

The Teradata Aster Solution:

Overview

Between now and 2020, the sheer volume of digital information is predicted to increase to 35 trillion gigabytes – much of it coming from new sources including blogs, social media, internet search, and sensor networks.

Teradata can help you manage this onslaught with big data analytics for structured big data within an integrated data warehouse– and now the Teradata Aster Discovery Platform can help you deal with the emerging big data that typically has unknown relationships where fast analytic iteration is required to unlock new insights. Together, these two powerful analytic platforms provide the two key systems for a unified data architecture for smarter, faster, decisions.

Why Teradata Aster?

Industry’s First Big Analytics & Discovery Platform
Teradata Aster helps customers design and implement unified innovative analytics to gain competitive advantage ...across the enterprise based on a solid, proven platform backed by experienced award-winning customer support.

Getting Started —
How can we help?

Contact us for insights to your big data and analytics questions.

Ready to start right away? Take the free downloadable version of Aster Database for a spin.

Hadoop Integration

Hadoop can play a critical role in a unified big data architecture. Teradata provides deep integration with Hadoop in several ways to best fit your needs.

Unified big data architecture & Hadoop
Companies are looking to capture, refine, and analyze all types of data available to them on customer interactions and business operations. Doing this requires a unified data architecture with best-of-breed components in the technology stack.

To extract value from this data, platforms which support MapReduce processing such as Apache Hadoop and Teradata Aster are growing in popularity based on their ability to quickly load and refine diverse multi-structured data and to provide new analytic techniques that aid in the discovery of new business insights. Here’s how they fit together.

Teradata Aster Big Analytics Appliance
Big data represents a huge business opportunity for organizations to innovate & gain operational efficiencies. However, most organizations struggle to manage & analyze big data due to issues involving data volumes, complexity and variety.

Aster-Hadoop Adaptor
Aster-Hadoop Adaptor consists of SQL-MapReduce functions that provide ultra-fast, two-way data loading between Hadoop Distributed File System (HDFS) and Aster Database.

SQL-H^®
SQL-H empowers business analysts to directly analyze vast amounts of Hadoop data without requiring programming skills or an understanding of how data is stored within the Hadoop Distributed File System (HDFSTM).

Evolution of
Big Data Analytics

Experiences with Teradata Aster and Apache Hadoop

This study explores the evolution of big data analytics and its maturity within the enterprise. The initial focus was on the approaches and economics to using Teradata Aster Discovery Platform and Apache Hadoop within the same analytical architecture.

Big Data Analytics in Action

Teradata Aster helps customers design and implement innovative analytics to gain competitive advantage across the enterprise based on a proven platform backed by award-winning customer support.

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