analytic excellence - saying goodbye to old constraints

The Briefing Room

Analytic Excellence: Saying Goodbye to Old Constraints

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Welcome

Host: Eric Kavanagh

[email protected]


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!   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


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Topics

This Month: ANALYTIC PLATFORMS

September: ANALYTICS

October: DATA PROCESSING


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Analytic Platforms

Analytic Excellence: Saying Goodbye to Old Constraints


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Analyst: Wayne Eckerson

Wayne Eckerson has been a thought leader in the data warehousing, business intelligence and performance management fields since 1995. He has conducted numerous in-depth research studies and is the author of the best-selling book “Performance Dashboards: Measuring, Monitoring, and Managing Your Business.” He is a noted keynote speaker and blogger, and he consults and conducts workshops on business analytics, performance dashboards, and business intelligence, among other topics. For many years, Wayne served as director of education and research at The Data Warehousing Institute (TDWI).Wayne is also a principal consultant at BI Leader Consulting and a founder of BI Leadership Forum. Wayne is also director of research at TechTarget. He can be reached at [email protected].


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! Actian is a database and software development company that has recently made some tactical acquisitions

! Actian offers the ParAccel Big Data Analytics Platform, which includes an analytic database, an extensibility framework, on-demand integration and integrated analytics

!   The database engine behind the Platform is fully columnar and leverages a shared-nothing architecture

Actian


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Guest: John Santaferraro

John Santaferraro is the Vice President of Product Marketing at Actian. Prior to joining Actian, Santaferraro was an independent industry analyst in the business intelligence and analytics market. Before that he developed and executed a vertical market strategy for Hewlett Packard's BI group, focusing on energy, communications, retail, healthcare and financial services; he was also instrumental in helping establish HP’s new BI business group with a combination of solutions, products and consulting. In 2000, John founded a marketing and sales consulting company, Ferraro Consulting, providing business acceleration strategy for technology companies.

Unconstrained Analytics ParAccel Big Data Analytics Platform

John Santaferraro

Vice President of Marketing, ParAccel Platform Group

August 5, 2013

Agenda

§  The Age of Data §  Unconstrained Analytics §  ParAccel Big Data Analytic Platform

10 Confidential © 2013 Actian Corporation

11

The Age of Data - Where Data and Algorithms Collide

Confidential © 2013 Actian Corporation

Free Your Analysts


Unconstrained Analytics Load and Go

Run Ad Hoc Queries

Query Any Time

Query Any Data

Query All Data

Run Any Analytics

Execute Sophisticated Analytics

Return Results Quickly

Iterate Quickly Through Discovery

Share Workloads With Any Platform

Support All Analysts

Run Many Applications

Create Analytic Services

Support Entire Ecosystems of Analytics

13 Confidential. Do not Distribute.

Customer Churn

Support cost

analytics

Campaign ROI

Profitability

Customer value

Cross-sell

Customer retention

Customer experience

Profiling

Market trends

Up-Sell

Average order size

Segmentation

Channel management

Churn models

Decision management

Social media

analytics

Partner management Customer

satisfaction Communication management

Unconstrained Customer Analytics

Support the Entire Analytic Process


Connect Prepare Analyze

Optimize

DATA VALUE

ParAccel Big Data Analytics Platform


›  On-demand integration

›  In-advance integration

›  In-flight preparation

›  In-Hadoop preparation

›  In-database preparation

›  Database optimizations

›  Hardware optimizations

›  Dataflow optimizations

›  In-database analytics

›  HDFS-based analytics

Business Intelligence

Analytics

Enterprise

Social

New Data

Applications DW

www Mobile Machine

Data

High-Performance BI

High-Performance Analytics

Connect Prepare Analyze

Optimize

DATA VALUE

The highest performing analytic platform with the most comprehensive analytic capabilities for the full big data landscape

from point applications to enterprise-scale deployments.

Highest Performing Analytic Platform

In-Memory Option: Lock all data and processes to run in-memory

I/O Optimization Intelligent Prefetch, Intelligent Caching of Data In-Memory

Communication Optimization Packet delivery optimized for analytics, low overhead, plus Virtual Hotwire

Parallel Processing Each node processes, pipelines, and leverages both columnar & compression

Workload Management Establish query classes for long, short, and interactive queries

Compiled Queries Queries compiled to run within the database on each individual node

In-Database Analytics Store and run SQL, aggregate, and analytic functions in the database application

Execution Optimization Final optimization based on resources available

Planning Optimization Choose the best from up to competing plans based on costing model

SQL Optimization Extreme SQL Support with breakdown into 2000 segments, MPP and data-aware

Parallel Loading 1TB per node, per hour, up to 100 nodes, without complex data preparation


Most Cooperative Analytic Processing

Business Intelligence and Repor3ng Tools

Advanced Analy3cs

Analy3c Applica3ons

Machine Data

Opera3onal Data

3rd Party Info

Provider

Streaming Data Logs

ParAccel PlaBorm

On Demand Integra3on

Enterprise Data Warehouse

Hadoop

Big Data Apps

Embedded Analy3cs

Big Data Bottlenecks


Prepare profile match cleanse

aggregate audit

Analyze sample model

discover visualize predict

Consume report chart

dashboard alert act

Connect monitor

log ingest

event capture decrypt

ParAccel Dataflow Parallelizes Everything



aggregate audit




dashboard alert act

Connect monitor

log ingest


ParAccel Dataflow Parallelizes Everything



aggregate audit




dashboard alert act

Connect monitor

log ingest


File Support Windows

Linux HDFS

Amazon S3

ParAccel Dataflow Engine and Hadoop Analytics

- a framework that allows you to develop ETL and analytics

visually on Hadoop (or other file systems) but requires no knowledge of MapReduce

or parallel programming to use


Operator Library

22

Using ParAccel Dataflow Engine

23

What Does ParAccel Platform Mean to You?


Differentiation •  Highest Performing

Analytic Platform

•  Most Comprehensive Analytic Capabilities

•  Most Cooperative Analytic Processing

•  Most Flexible

Deployment Options

Unique Value u  Best Price

Performance

u  Quickest Time to Analytic Value

u  Quickest Time to Analytic Change

u  Best Leverage of Existing Investments

u

Envisioning Unconstrained Analytics

§ What are the immediate, pending, and “no constraints” opportunities for analytics?


Immediate Needs

Weekly Market Basket Analysis

Pending Needs

Daily Market Basket Analysis

No Constraints

On-Demand Market Basket Analysis Demand signaling


§ What are the immediate, pending, and “no constraints” opportunities for data expansion?


Immediate Needs

Point of Sale + Loyalty + Credit + Pyschographic 2 Years Data

Pending Needs

Partner Data 6 Years Data Archived, Accessible

No Constraints

Social Media Data


§ What are the immediate, pending, and “no constraints” opportunities for analyst communities?


Immediate Needs

Business Analysts Pending Needs

Store Managers No Constraints

Suppliers

Questions and Answers

§ What are the immediate, pending, and “no constraints” opportunities for analytics?


Immediate Needs Pending Needs

No Constraints


The Briefing Room

Perceptions & Questions

Analyst: Wayne Eckerson

1. General purpose RDBMS 2. Analy=cal pla?orms 3. Hadoop

Big data plaBorms – Three genera3ons

30 www.bileader.com

2nd genera3on: Analy3cal plaBorms

1010data Aster Data (Teradata) Calpont Datallegro (MicrosoJ) Exasol Greenplum (EMC) IBM SmartAnaly=cs Infobright Kogni=o Netezza (IBM) Oracle Exadata Paraccel Pervasive Sand Technology SAP HANA Sybase IQ (SAP) Teradata Ver=ca (HP)

•  Purpose-‐built RDBMS •  Quicker to deploy •  Faster and more scalable •  Lower cost per TB •  Built-‐in analy3cs Deployment Op3ons -‐ SoJware only (Paraccel, Ver=ca) -‐ Appliance (HANA, Exadata, Netezza) -‐ Cloud (1010data, Kogni=o, HANA)

www.bileader.com

Mapping big data plaBorms

32

Structured à Semi-‐Structured à Unstructured

Hadoop

Analy=c Pla?orm (RDBMS)

General Purpose RDBMS

Low Latency Summarized Data à

High cost per TB

High Latency ß Detailed Data

Low cost per TB

Adapted with permission from Hortonworks www.bileader.com

Analy3cal Ecosystem

Machine Data

Web Data Hadoop Cluster

Power User

BI Server

Casual User

Operational System

Operational System

Upload & query

Query Free-‐standing Analy3cal sandbox

Logical or

Physical Data Mart

Data Warehouse

Virtual Sandboxes Top-‐down BI Bo+om-‐up BI

External Data

Alerts

Audio/video Data

Streaming/ CEP Engine

Visual discovery

tools

Event-‐driven messaging

Classic BI KEY: New Stuff

ODS

ETL

Interac=ve dashboards

•  What are ParAccel’s key differen=ators in a crowded market?

•  What types of workloads does ParAccel handle best?

•  How does ParAccel integrate with Hadoop? •  Who are ParAccel’s key partners? •  How does ParAccel fit into the Ac=an database por?olio?

Ques3ons

34 www.bileadership.com


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August: ANALYTIC PLATFORMS

September: ANALYTICS

October: DATA PROCESSING

Upcoming Topics

www.insideanalysis.com


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Thank You for Your

Attention PHOTO CREDIT: Photo on Slide 5 borrowed from the internet: http://www.dcmemorials.com/