AI&BigData Lab. Максим Терещенко "Обзор современных трендов в аналитике BigData на примере продукта Zoomdata"

AI & BigData Lab

Modern trends in BigData analytic productsMaxim Tereschenko, Product Owner

AI & BigData Lab, Odessa, 23 May 2015

AI & BigData Lab

About Me

2005

2010

20152009

2008

Product Owner

From BI Developer To Delivery Manager

BI Developer

BI Business Analyst

BI Consultant

AI & BigData Lab

Agenda

Traditional BI/DWH ApproachModern challenges for data analytics productsOverview of Zoomdata ProductZoomdata Architecture and Key FeaturesDemoQ&A

AI & BigData Lab

BI/DWH Approach Modern Challenges:Big Data (Hadoop Revolution)

Connectivity

Live Sources

No ETL

Cloud Analytics

Touch Interface

AI & BigData Lab

Big Data

By IDC Digital Universe study - “Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East”

50x growth from the beginning of 2010

5,247 GB perIn 2020

<1% of Datais Analyzed

AI & BigData Lab

Connectivity Data Sources:Structured/Non-structuredMPP DatabasesFiles/DatabasesSearch BasedSQL/Non-SQLRow Based/Column BasedIn-house/SaaS/Cloud BasedOLAP/Multi-dimensional cubesAPI based/Web ServicesHadoop (HDFS) Historical/Live Sources

© Big Data Landscape - Matt Turck (@mattturck), Sutian Dong (@sutiandong) & FirstMark Capital (@firstmarkcap)

AI & BigData Lab

No ETL

© http://hortonworks.com/

AI & BigData Lab

Cloud Analytics Factors:Dynamic Growth of Cloud MarketFlexible pricingIntegration with other cloudtechnologiesIn-house infrastructure andsupport costs reductionQuick result

By 2020, IDC estimates that nearly 40% of data will be “touched” by cloud computing*

* - By IDC Digital Universe study - “Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East”

AI & BigData Lab

“Suits” or “T-Shirts”

© Gartner

AI & BigData Lab

Zoomdata Key Facts Founded: 2012 Employees: 85 Investments: 21M $

Headquarter: Reston, USA

AI & BigData Lab Zoomdata Architecture

AI & BigData Lab

Zoomdata Answers# Feature Short Description Challenge(s) Differentiators

1 Fast Visualizations Sharpen billions of records in seconds with stream processing engine.

BigData Data sharpening/micro queriesInteractive D3/JS Viz StudioNative support of Spark

2 Historical & Real Time Time controls seamlessly transition between time based data

BigDataConnectivityLive Sources

Seamless transition between historical and real time dataLive Source support

3 Next Generation of Data Connectors

Hadoop, NoSQL, Search, Solr Spark, etc Connectivity 18 pre-built different types of connectors

4 Easy Integration in the any of BigData analytics platform

Trifacta enables Zoomdata users to more effectively transform raw data in Hadoop for immediate visualization and dashboarding

No ETL Integration with Trifacta

5 Cloud Integration Certified analytics application for Databricks Cloud and Cloudera GoGrid Count

Cloud Analytics Integration with Databricks Cloud and Cloudera GoGrid Count

6 Mobile Devices Support Web/Mobile dashboard, customizable interface

Touch Interface Designed for the touch generationHTML5 - No Plugins required

AI & BigData Lab

Demo

AI & BigData Lab

Thank You!

https://www.linkedin.com/in/maxter

[email protected]

maxterkiev

maxim.tereschenko

Contact Me Visit

www.zoomdata.com

Any Questions?