1. build a real time operational data lake in minutes.
Yuval klein
build a real time operational data lake in minutes.

2. Yuval Klein Big data solutions Pre-Sale at NessPRO, Ness Technologies
Big Data Architect
Machine learning Data Analyst
Cloud

3. A lot of data these days in a minute , web only

4. Maybe too much… IOT will change everything.

5. Sql Server data platform

7. Db types Relational : sql server , oracle , ASE , DB2 ,mysql
Document db : couchbase , mongodb
Search engines: elastic search , splunk , solr, ibm watson
Columnar db : snowflake , vertica , IQ , redshift
Compute engines : presto , vertica
Key value: redis , Aerospike
Wide column : cassandra
Graph db: neo4j
Time series: TimesTen
Files : s3 , azure storage
Multi model: CreateDB , Marklogic

8. data lake

9. Big data for analytics

10. THE DATA WAREHOUSE BUILT FOR THE CLOUD
THE DATA WAREHOUSE BUILT FOR THE CLOUD
Separated compute engine and storage
ANSI SQL
Software as a service
Vendor agnostic

11. Vertica is Data Analytics without Limits
Vertica is Data Analytics without Limits
Acid compliant
ANSI SQL
Powerful compression
Columnar storage
Amazon EON state : s3 and compute separated

12. Text analytics search engines

13. Universal Data Replication and Data Ingestion
Attunity:
ATTUNITY REPLICATE
Universal Data Replication and Data Ingestion

14. CrateDB is a distributed SQL database built on top of a NoSQL foundation IOT: Machine Data: time serious ingesting millions of data points per second, while also querying terabytes of data in real time.

15.
Looker is a business intelligence software and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.
Main advantage : data warehouse is the engine for the data.

16. Our generous sponsors