The Role of Data in Enterprise

Mayank Bawa Co-President / Co-Founder Teradata Aster R&D Labs

The Role of Data in Enterprise

Record Report Influence

The Excitement of Big Data

Ability to influence business to get more favorable outcomes

The Responsibility of Technologists

Deliver a platform that makes it easier and simpler to influence business via Big Analytics

Forces that Technology has to Overcome

Diversity of Data

Multi-Structured Data

Richness of Analytics

The Reality of Technology Today

DIY Attitude is Bad for Business

Incredibly snobby

Asks business (e.g., Marketing) to learn non-core skills

The Equation of Big Analytics

Time + Effort + Cost

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The Challenge for Technologists

Decrease all three simultaneously

Problems that Need to be Solved

Make it easy to manage and curate large volumes of diverse data

Provide tools to update/delete data to ensure consistency across data stores

Provide interfaces that are accessible to a business user

Provide extensible business applications to find answers relevant to the business

The Aster Product is Tracking This Goal

Your Analytic & Advanced Reporting Applications

Store

Process

Rapid Analytics Development

Embedded Analytic Processing

Massively Parallel Data Storage

• Commodity-hardware based • Software-only; Appliance; Cloud • Fault-tolerant & one-click expansion

• SQL-MapReduce framework • Analyze multi-structure data • Top performance for both SQL & MR

• 50+ pre-built analytical apps • Visual IDE: custom apps in hours • Several programming languages

Analysts Data Scientists Business Users Customers

Develop

Interface: SQL-MapReduce®

Standard SQL Support for Business Analysts Integrates Seamlessly with Most BI Tools 10x MapReduce Performance Advantage

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Industry’s Only Standard SQL + MR Combination

SQL-MapReduce® Interface Connects Business Analysts via BI Tools

Invoke Pre-Bulid SQL-MapReduce® App Through SQL and Visualize Directly in Tableau®

The App Store of Big Data

Path Analysis Discover patterns in rows of sequential data

Text Analysis Derive patterns and extract features in textual data

Statistical Analysis High-performance processing of common statistical calculations

Segmentation Discover natural groupings of data points

Marketing Analytics Analyze customer interactions to optimize marketing decisions

Data Transformation Transform data for more advanced analysis

Some of the 50 out-of-the-box analytical apps

The Next Decade will be very Exciting!