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Actian Hybrid DataConference2018 London

ActianHybrid DataConference2018 London

Raghu Chakravarthi

Be Disruptive or be DisruptedActivate your Transformation

SVP R&D and Support ServicesActian Corp

Raghu ChakravarthiSenior Vice PresidentR&D and Support Servicesraghu.chakravarthi@actian.com

@rchakravarthi1linkedin.com/in/raghuc

Digital DisruptionData Analytics is now a quintessential business matter

5 © 2018 Actian Corporation

Business models are subject to rapid displacement, disruption, and, in extreme cases, outright destruction.

S&P 500 incumbents will be gone by 2027.375%

Source: McKinsey, Gartner, Accenture 2016

A move to analytics throughout the organization where insights will be used; on the front-lines

S&P 500 from year 2000 no longer exist50%

CDO’s are shaping and/or executing the digital strategy34%

CIO role is being absorbed, as standalone digital teams are integrated into the core business,

Hybrid Data Workload

Video

100+ TB

Voice

StreamingGrowing at 60% annually

Structured

Machine logs

Micro batch

Sparse

ERP CRM

SCM

Volume

Variety

Velocity

VenueAWS

Private Cloud

On PremiseAzure

Hybrid Data Workload – 4V’s

© 2018 Actian Corporation6

Hybrid Data Reference Architecture

7 © 2018 Actian Corporation

REAL TIME

Access Analytic Engines Client

ADVANCED ANALYTICS

Compute Engines

TRADITIONAL

SAS, SPSS

R, Spark, h20 NEODB

DATABASE(Operational)

IN MEMORY

Hadoop,S3, Azure Blob Store

DATA LAKE

No SQL

COLUMNAR

STRUCTURED

Personas

InsightsSystems

IT

Engineers

DataScientists

BusinessAnalysts

Business Partners

Executives

CommonServices ELASTIC SERVICESBACKUP AND RECOVERY DEPLOYMENT

Hybrid Data Sources

ERP

SCM

CRM

Un Structured

Edge

Machine Logs

Web and

Social

CLOUDBI TOOLS

MONITORING SECURITY CONNECTIVITY

Data Fabric

AZURE ML, SAGE MAKER

Data Stores

APPLICATION

STREAMING MICRO BATCH

OPERATIONAL DATA WAREHOUSE(Interactive)

Cloud Deployment PRIVATE HYBRID CLOUDCloud PUBLIC MULTI CLOUD

HYBRIDDATA

INGESTION

DATA

FABRIC

Actian solves Hybrid Data

8 © 2018 Actian Corporation

REAL TIME

Analytic Engines Client

ADVANCED ANALYTICS

Compute Engines

TRADITIONAL

SAS, SPSS

R, Spark, h20 NEODB

DATABASE(Operational)

IN MEMORY

Hadoop,S3, Azure Blob

Store

DATA LAKE

No SQL

COLUMNAR

STRUCTURED

Personas

InsightsSystems

IT

Engineers

DataScientists

BusinessAnalysts

Business Partners

Executives

CommonServices ELASTIC SERVICESBACKUP AND RECOVERY DEPLOYMENTERP

SCM

CRM

Un Structured

Edge

Actian Zen

Machine Logs

Web and

Social

CLOUDBI TOOLS

MONITORING SECURITY CONNECTIVITY

Data Fabric

AZURE ML, SAGE MAKER

Data Stores

HYBRIDDATA

INGESTION

APPLICATION

STREAMING MICRO BATCH

Actian Data Connect

DataCloud

DataFlow

Actian X

Actian X

Actian Vector

ActianOpenROAD

OPERATIONAL DATA WAREHOUSE(Interactive)

Actian Vector

Actian NoSQL

TImesTen, MemSQL

Cloud Deployment PRIVATE HYBRID CLOUDCloud PUBLIC MULTI CLOUD

AccessHybrid Data Sources

DATA

FABRIC

User story: Financial institution wants to build a better predictive model to detect customer churn

9 © 2018 Actian Corporation

CMO,Kathy

Data Scientist,Jason

1M subscribers lost. Can we predict churn?

CHALLENGES• Large data set – 40 million accounts with 2.5 billion events

• Hybrid data set (call center, web, billing, email)

• Long churn path – 18 to 49 events per account

Predictive churn model with Actian and your favorite analytics tools

10 © 2018 Actian Corporation

Data Prep

ModelDev Deploy

Data Connect

DataFlow

Vector

Vector pyodbc DataFlow Ext

cleanse

VectorModel promoteTraining data

Churn scoring

Actian Transformation

11 © 2018 Actian Corporation

Structured data

On-premises, proprietary HW, Cloud Lock-in

Manage with Internal Ops

Monolithic Architecture

Single Node

Operational workloads

Siloed Data Access

Hybrid Data

Anywhere

Consume As a Service

Microservices and Containers

Scale across nodes

Operational and Analytics workloads

Democratize Data

Scale, Performance, Flexibility

FROM TO

Activating your Transformation

Vector as a Service

Business Outcomes

Backend as a Service

Graph as a ServiceZen in iOS and Android

© 2018 Actian Corporation12

Actian Vision

13 © 2018 Actian Corporation

Augmented Analytics

Make it easy to do analytics

Provide seamless data integration and quality

▪ Connectors to Hybrid Data Stores

▪ Batch and Stream processing

▪ Parallelized Execution

▪ Scale with containers

Enable customers to use their preferred tools

▪ Integrate with workbenches

▪ Provide multiple language support

▪ Data Preparation and Model building

Help customers to operationalize analytics

▪ Packaged templates

▪ Data Anywhere

▪ Best in class TOC for analytics

▪ Extensible thru partners

Enable Analyticsat the Edge

▪ Scalable key value store at the edge

▪ Small footprint

▪ Embeddable

▪ API and SQL access

32 4 51

▪ Best TOC for analytics at scale

▪ In database analytics with UDF’s

▪ Any Data Anywhere

▪ Managed Service▪ Zen Edge DB

▪ Data Connect

▪ Data Flow

▪ Data Cloud

▪ Vector

▪ Vector as a Service

▪ Graph as a Service

▪ KNIME

▪ JupyterHub

▪ pyODBC

▪ SQL

▪ Rest API’s

▪ BaaS for scoring

Can your plan meet operational and analytics

workload SLA’s?

Do you have the right partners for your digital

transformation?

Does your architecture plan address the 4 V’s?

© 2018 Actian Corporation14

Partner with Actian in your transformation journey

Thank You!