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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
maxterkiev
maxim.tereschenko
Contact Me Visit
www.zoomdata.com
Any Questions?
