23.05.15 Одесса. Impact Hub Odessa. Конференция AI&BigData Lab Максим Терещенко (Product Owner, Zoomdata) "Обзор современных трендов в аналитике BigData на примере продукта Zoomdata" В последние годы рынок продуктов анализа данных кардинально меняется. На второй план постепенно отходит традиционный подход BI/DWH. А на смену ему приходят динамические стартапы, которые кардинально меняют подход к анализу больших данных. На примере одного из таких стартапов, продукта Zoomdata, хочется разобраться куда идет рынок аналитики на BigData и что нас ждет в будущем в этой области. Подробнее: http://geekslab.co/ https://www.facebook.com/GeeksLab.co https://www.youtube.com/user/GeeksLabVideo

1. AI & BigData Lab
Modern trends in BigData analytic products
Maxim Tereschenko, Product Owner
AI & BigData Lab, Odessa, 23 May 2015

2. AI & BigData Lab
About Me
2005
2010
20152009
2008
Product Owner
From BI Developer To Delivery Manager
BI Developer
BI Business Analyst
BI Consultant

3. AI & BigData Lab
Agenda
Traditional BI/DWH Approach
Modern challenges for data analytics products
Overview of Zoomdata Product
Zoomdata Architecture and Key Features
Demo
Q&A

4. AI & BigData Lab
BI/DWH Approach
Modern Challenges:
Big Data (Hadoop Revolution)
Connectivity
Live Sources
No ETL
Cloud Analytics
Touch Interface

5. 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 per
In 2020
<1% of Data
is Analyzed

6. AI & BigData Lab
Connectivity
Data Sources:
Structured/Non-structured
MPP Databases
Files/Databases
Search Based
SQL/Non-SQL
Row Based/Column Based
In-house/SaaS/Cloud Based
OLAP/Multi-dimensional
cubes
API based/Web Services
Hadoop (HDFS)
Historical/Live Sources
© Big Data Landscape - Matt Turck (@mattturck), Sutian Dong (@sutiandong) & FirstMark Capital (@firstmarkcap)

7. AI & BigData Lab
No ETL
© http://hortonworks.com/

8. AI & BigData Lab
Cloud Analytics
Factors:
Dynamic Growth of Cloud Market
Flexible pricing
Integration with other cloud
technologies
In-house infrastructure and
support costs reduction
Quick 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”

9. AI & BigData Lab
“Suits” or “T-Shirts”
© Gartner

10. AI & BigData Lab
Zoomdata Key Facts
Founded: 2012 Employees: 85 Investments: 21M $
Headquarter: Reston, USA

11. AI & BigData Lab Zoomdata Architecture

12. 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 queries
Interactive D3/JS Viz Studio
Native support of Spark
2 Historical & Real Time Time controls seamlessly transition between
time based data
BigData
Connectivity
Live Sources
Seamless transition between
historical and real time data
Live 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 generation
HTML5 - No Plugins required

13. AI & BigData Lab
Demo

14. AI & BigData Lab
Thank You!
https://www.linkedin.com/in/maxter
maxim.tereschenko@gmail.com
maxterkiev
maxim.tereschenko
Contact Me Visit
www.zoomdata.com
Any Questions?