Focal Point: How to Adjust Your Analytical Lens

The Briefing Room

Focal Point – How to Adjust Your Analytical Lens

Twitter Tag: #briefr

The Briefing Room

Welcome

Host: Eric Kavanagh

[email protected]


The Briefing Room

!   Reveal the essential characteristics of enterprise software, good and bad

!   Provide a forum for detailed analysis of today’s innovative technologies

!   Give vendors a chance to explain their product to savvy analysts

!   Allow audience members to pose serious questions... and get answers!

Mission


The Briefing Room

Topics

This Month: ANALYTICS

October: DATA PROCESSING

November: DATA DISCOVERY & VISUALIZATION


The Briefing Room

Analytics

TOOLS Data Visualization

PERSPECTIVE DISCOVERY

YREVOCSID


The Briefing Room

Analyst: Richard Winter

Richard Winter is an industry expert in large scale data management and big data, architecture and implementation with over 25 years of experience. As President of WinterCorp, he advises executives on their strategies and critical projects, focusing on scalability, performance and availability in big data, data analytics and data warehousing. Mr. Winter is a frequent author and speaker, and leads seminars and structured workshops on scalability management, including the architecture and selection of big data, analytic data and data warehouse platforms, and on the development of big data solutions. Mr. Winter also has extensive experience in the creation, direction and evaluation of pilot systems; proofs-of-concept; benchmarks; and, other performance measurement and systems engineering projects relating to analytic data platforms and solutions.


The Briefing Room

Teradata

!   Teradata is known for its analytics data solutions with a focus on integrated data warehousing, big data analytics and business applications

!   It offers a broad suite of technology platforms and solutions and a wide range of data management applications

!   The Teradata Aster Discovery Platform was designed specifically to help business users navigate big data


The Briefing Room

Guest: Chris Twogood

Chris Twogood is Vice President of Product and Services Marketing for Teradata Corporation. He is responsible for marketing Teradata products (database, utilities and platform), Teradata services (professional and customer services), plus technical field sales support teams. Chris has 25 years of experience in the computer industry specializing in data warehousing, decision support, customer management, and appliance platforms. He started his career with NCR in retail Point of Sale solutions (POS), and then moved to AT&T to manage channel development and strategic partners. At Teradata, Chris has had roles that span Strategy, Application Definition, Marketing, Product Requirements/Management, Platform Solutions, and Product Marketing.

Chris Twogood VP, Product & Services Marketing, Teradata

ADJUST YOUR ANALYTICAL LENS WITH ASTER DISCOVERY PLATFORM

10 9/10/13

Seeing Your Business in High-Definition

Ø  DATA enables INSIGHTS which drive ACTIONS to provide BUSINESS ADVANTAGE thru BETTER DECISIONS

Ø  Big Data is DATA. It “adds to” the depth and types of INSIGHTS ... But the rest of the story is the SAME

Ø  However,

•  the economics have changed, increasing the amount of data you can capture

•  the tools have been enhanced, expanding the data types you can analyze

•  The architecture framework has evolved so you can use the right tool for the right job

UNIFIED DATA ARCHITECTURE

ACCESS MOVE MANAGE Marketing Executives

Operational Systems

Frontline Workers

Customers Partners

Engineers

Data Scientists

Business Analysts'

Math and Stats

Data Mining

Business Intelligence

Applications

Languages

Marketing

APPLICATIONS

USERS

DISCOVERY PLATFORM

INTEGRATED DATA WAREHOUSE

ERP

SCM

CRM

Images

Audio and Video

Machine Logs

Text

Web and Social

SOURCES

DATA PLATFORM

UNIFIED DATA ARCHITECTURE

ACCESS MOVE MANAGE Marketing Executives

Operational Systems

Frontline Workers

Customers Partners

Engineers

Data Scientists

Business Analysts'

Math and Stats

Data Mining


Applications

Languages

Marketing

APPLICATIONS

USERS

DATA PLATFORM

Fast Loading

Filtering and Processing

Online Archival

DISCOVERY PLATFORM

Data Discovery

Path, graph, time-series analysis

Pattern Detection

ERP

SCM

CRM

Images

Audio and Video

Machine Logs

Text

Web and Social

SOURCES



Predictive Analytics

Operational Intelligence

Marketing Executives

Operational Systems

Frontline Workers

Customers Partners

Engineers

Data Scientists

Business Analysts'

Math and Stats

Data Mining


Applications

Languages

Marketing

APPLICATIONS

USERS

SQL-H, UNITY, SMART LOADER

CONNECTORS UNITY

VIEWPOINT TVI

MDM

TERADATA UNIFIED DATA ARCHITECTURE


DISCOVERY PLATFORM

ERP

SCM

CRM

Images

Audio and Video

Machine Logs

Text

Web and Social

SOURCES

TERADATA PORTFOLIO FOR

HADOOP

TERADATA DATABASE

TERADATA ASTER DATABASE

DATA PLATFORM

14 9/10/13

Teradata Aster Discovery Platform

DATA SOURCES

Structured Data

Multi-Structured

Data

Non- Relational

Data

DISCOVERY DISCOVERY TOOLS USERS

Discovery Platform

Data Scientist

Business Analyst

SQL, MapReduce, Graph, Stats, ML

Custom Development

Analytic Applications

OLTP DBMS’s

•  Structured and multi-structured data

•  Doesn’t require extensive data modeling

•  Doesn’t balance the books

•  Data quality can be good enough

•  No stringent SLAs

•  Fraud patterns •  Customer behavior •  Digital marketing

optimization

Business Users

15 9/10/13

Data Acquisition

Data Preparation Analysis Visualization

Business Users

Data Scientist

Discovery Process Requirements

Rapid Exploration

Fail Fast and Discovery More

16 9/10/13

Teradata Aster Discovery Platform 5.10

TERADATA ASTER DISCOVERY PLATFORM

The Teradata Aster Discovery Platform spurs innovation by unlocking new value from big data. It is the market leading Discovery Platform that provides a complete solution for visual, interactive, and powerful analytic applications that require minimal time and e!ort to derive value from. It comprises of the Teradata Aster Database and the Teradata Aster Discovery Portfolio.

The Discovery Platform is designed for all types of enterprise users to derive novel, high-value business insights through synergistic multi-genre analytics that invoke various state-of-the-art tools (SQL, MapReduce, Text, Graph, and Statistical solutions). It features the industry’s only SQL-MapReduce® framework and an expanding portfolio of over 70 pre-built MapReduce functions. It comes with out-of-the box functionality for data acquisition, preparation, analysis, and visualization and enables users to incorporate all four functions within a single SQL statement. It can be easily used by any SQL-savvy analyst as well as being powerful and flexible for the most technically sophisticated data scientists. Figure 1. Teradata Aster Discovery Platform

TERADATA ASTER DISCOVERY PLATFORM – KEY CAPABILITIES ~ Industry’s only SQL-MapReduce framework that allows developers to write powerful SQL-MapReduce applications (fully database embedded) in languages such as Java, C#, Python, C++, and R and push them into the Discovery Platform for in-database analytics. Applications are invoked using standard SQL commands with ultra-fast query returns.

~ Ability to analyze all data types (structured, multi-structured, and unstructured) at varying volumes and speeds of acquisition, for discovery and exploration. All steps of the discovery process from acquisition to visualization can be executed through one SQL statement.

~ Expanding portfolio of 70+ SQL-MapReduce functions that include path/pattern, statistical, text, and graph analysis that address a variety of use cases in the Manufacturing (yield, a"nity), Finance (fraud, market

basket), Insurance (risk), Health Care (customer behavior), Digital Marketing Optimization (advertising e"cacy), Telecommunications (customer churn), and Retail (personalization, recommendation) verticals.

~ Industry’s first visual SQL-MapReduce functions that use advanced graphing techniques that create powerful visualizations on customer insights. These out-of-the-box visualizations are available inside the database and complement the BI tool visualization functionality.

~ Customers can issue ANSI-standard SQL and SQL-MapReduce queries on the database and to transparently connect to Hadoop via SQL-H™. The Aster database is built on MPP architecture with row or column data storage options.

~ Flexible deployment options include: an integrated hardware and software appliance, software-only solution, or public or private cloud instances.

DATA SHEET04.13 EB-7573

17 9/10/13

What’s New – Aster Discovery Platform 5.10 Aster Lens

Ø  Enterprise consumers to find, view and share insights generated by Data Analysts

Ø  Data Analysts to publish results of analytics performed on Teradata Aster Discovery Platform

Ø  Organizations to move from big data science experiments to increasing business impact

Interactive Web Application that enables:

ASTER LENS DEMO

19 9/10/13

Next Generation Discovery Platform Architecture

”Industry’s First Purpose-Built Platform for Big Data Analytics & Discovery”

Ø  New Processing & Storage Architecture for Discovery

Ø  New Integrated Analytic Engines

Ø  New Data Store

Coming Soon…Aster Discovery Platform 6

20 9/10/13

TERADATA PORTFOLIO FOR HADOOP ”Taking Hadoop from Silicon Valley to Main Street”

• Most Trusted and Flexible Hadoop Platforms for Your Next-Generation Unified Data Architecture™

1. Teradata Aster Big Analytics Appliance 2. Teradata Appliance for Hadoop 3. Teradata Commodity Offering with Dell 4. Hortonworks Data Platform software-only support resell

• Complete consulting and training capability > Big Analytics Services—across the UDA > Data Integration Optimization—ETL, ELT across the UDA > Hadoop deployment and mentoring > Teradata delivering Hortonworks training > Hadoop Managed Services—operations and administration

• Customer Support for Hadoop > World-class Teradata customer support, backed by Hortonworks

What’s New – Teradata Portfolio For Hadoop

21 9/10/13

TERADATA ASTER WINS STEVIE PEOPLE'S CHOICE AWARD FOR FAVORITE NEW PRODUCT OF 2013

FAVORITE BUSINESS INTELLIGENCE SOFTWARE - TERADATA ASTER DISCOVERY PLATFORM 5.10

22 9/10/13

Q&A


The Briefing Room

Perceptions & Questions

Analyst: Richard Winter

W I N T E R C O R P

T H E L A R G E S C A L E D A T A M A N A G E M E N T E X P E R T S

Data Discovery The Path to Value from Data

Richard Winter

WinterCorp

September 10, 2013 V1

©2010 Winter Corporation. All Rights Reserved. 25!W I N T E R C O R P : T H E L A R G E S C A L E D A T A M A N A G E M E N T E X P E R T S

©2010 Winter Corporation. All Rights Reserved.

How Do We Get Significant Additional Value from Data?

© 2010, 2011, 2012 WINTER CORPORATION, CAMBRIDGE MA. ALL RIGHTS RESERVED. © 2012, 2013 WINTER CORPORATION, CAMBRIDGE MA. ALL RIGHTS RESERVED.

1.  New Insights 2.  New Analytics or Tools 3.  New Data



What is Data Discovery?


New Insights

New Algorithms

New Tools

New Data

Discover Business Results

•  Improved Business Process •  New product or strategy •  More effective decisions

Imple-‐‑ment



What is Different Lately?


1.  Many new sources & types of data 2.  New economics 3.  New analytical tools 4.  New visualization tools 5.  Huge volumes



Where Does Discovery Occur?


Hadoop Discovery Platform

Data Warehouse

Storage Processing/Refining Archiving Analytics

Analytics

Repeatable Use Query Reporting Decisioning Analytics



Questions


1.  You have defined a role for a discovery platform, separate from Hadoop and also separate from the data warehouse. But both Hadoop and the data warehouse provide data analytics. What does the customer get from the separate discovery platform that is not readily available elsewhere? In other words, what is the benefit of having a separate platform for discovery?

2.  What types of data is the Aster platform able to store and analyze efficiently? For example, does it have any special capabilities for text analytics? Image?

3.  A central idea in discovery is that new sources of data are readily explored. How does the Aster platform make that especially easy? And how do customers govern their discovery environment to keep it from becoming difficult?



Questions


4.  In data discovery, it is important to fail fast and go on to the next possibility. How does the Aster platform help with this problem?

5.  Data visualization is an important aspect of data discovery: sometimes when the investigator sees the visualization, the key insight follows. Can you speak to some of the new and distinct visualizations?

6.  Aster features SQL/MR, a unique integration of SQL and MapReduce. Several other platforms offer one or both of these, but not integrated. Can you give an example where the integration of the two adds really significant value for the customer?


The Briefing Room


The Briefing Room

Upcoming Topics

www.insideanalysis.com

September: ANALYTICS

October: DATA PROCESSING

November: DATA DISCOVERY & VISUALIZATION


The Briefing Room

Thank You for Your

Attention

Technology

Focal Point: How to Adjust Your Analytical Lens