Solutions Linux 2013: SpagoBI and Talend jointly support Big Data scenarios

www.spagobi.orgCopyright © 2013 Engineering Group, SpagoBI Competency Center. All rights reserved.Copyright © 2013 Engineering Group, SpagoBI Competency Center. All rights reserved.
SpagoBI and Talend jointly support Big Data scenarios
Monica Franceschini - SpagoBI Architect
SpagoBI Competency Center - Engineering Group

Big-data
• Agenda
– Intro & definitions
– Layers
– Talend & SpagoBI
– SpagoBI big-data roadmap

Big Data - 3Vs
"Big data" is high-volume, high-velocity and high-variety information assets that
demand cost-effective, innovative forms of information processing for enhanced
insight and decision making.
Source: The Importance of 'Big Data': A Definition, Mark Beyer, Douglas. Gartner, 21 June 2012.
VOLUME The increase in data volumes within enterprise systems is
caused by transaction volumes and other traditional data types, as
well as by new types of data. Too much volume is a storage issue, but
too much data is also a massive analysis issue
VARIETY IT leaders have always had an issue translating large volumes
of transactional information into decisions — now there are more
types of information to analyze — mainly coming from social media
and mobile (context-aware). Variety includes tabular data (databases),
hierarchical data, documents, e-mail, metering data, video, still
images, audio, stock ticker data, financial transactions and more.
VELOCITY This involves streams of data, structured record creation, and
availability for access and delivery. Velocity means both how fast data
is being produced and how fast the data must be processed to meet
demand
Gartner Press Release, “Gartner Says Solving ‘Big Data’ Challenge Involves More Than Just Managing Volumes of Data”, June
27, 2011

Big Data- 3Vs & more
VARIABILITY
variance in meaning, in lexicon
VERACITY
1 in 3 business leaders don’t trust the information they use to make
decisions. How can you act upon information if you don’t trust it?
Establishing trust in big data presents a huge challenge as the
variety and number of sources grows.
VALUE
The economic value of different data varies significantly. Typically
there is good information hidden amongst a larger body of non-
traditional data; the challenge is identifying what is valuable and
then transforming and extracting that data for analysis.

Big data - Layers
• Infastructure
– On-site
– IaaS
• Data management:
– capture
– cleaning
– loading
– store
• View and Analyse
– Text analysis
– Text mining
– exploration, navigation, presentation
• Application
– Cloud
– SaaA
ETL
Business Intelligence
Services

Big data & Businessn Intelligence
• Tasks:
– Manage big-data (ETL) Talend→
– Read, interpret and show big-data (BI) SpagoBI→
– Big-data and real-time (BI) SpagoBI→

Talend - Big Data Management
Big Data
Production
Big Data Management
Big Data
Consumption
Storage
Processing
Filtering
Mining
Analytics
Search
Enrichment
RDBMS
Analytical DB
NoSQL DB
ERP/CRM
SaaS
Social Media
Web Analytics
Log Files
RFID
Call Data Records
Sensors
Machine-Generated
Big Data
Integration
Big Data
Quality
Turn Big Data into
actionable information
Parsing
Checking

Talend Goal: democratize Big Data
…an open source
ecosystem
Talend Open Studio for Big Data
“Big Data for the Masses”
 Improves efficiency of big data job design with
graphic interface
 Abstracts and generates code
 Run transforms inside Hadoop
 Native support for HDFS, Sqoop, HBase,
Mahout, Pig, Hive & MapReduce code generat°
 Apache License 2.0
 Embedded in Hortonworks Data Platform
 Certifed with Cloudera, MapR and Grenplum
HCatalog

ETL: Analytical databases & appliances
Connectors from/to:
‗Greenplum
‗Netezza
‗Sybase
‗Teradata
‗VectorWise
‗Vertica
‗HDFS
‗HBase
‗Hive
‗Cassandra
‗MongoDB

SpagoBI - load
Certified appliances:
‗Teradata
‗VectorWise
Connectors from:
‗Cassandra
‗HBase
‗Hive
‗Impala
‗Hadoop
RT with:
‗Storm
‗WSO2
More:
‗Scheduled data-set
‗In-memory data set

SpagoBI - meaning
Support for open standards:
‗RDF (Resource Description Framework) http://www.w3.org/RDF/
‗OWL (Web Ontology Language) http://www.w3.org/OWL/
‗R
‗Mahout
‗Text mining
Connectors from:
‗Neo4J
‗Freebase
‗OrientDB

SpagoBI - show
Explorative front-end
‗Network analysis
‗Exploration
‗In-memory
‗Data visualization

SpagoBI - roadmap
• Capture / Store
– Talend, connector to/from:
• Greenplum
• Netezza
• Sybase
• Teradata
• VectorWise
• Vertica
• HDFS
• HBase
• Hive
• Cassandra
• MongoDB
• …
• LOAD
– Certified appliances:
• Teradata
• VectorWise
– Connectors from:
• Cassandra
• HBase
• Hive
• Impala
• Hadoop
• MongoDB
– RT with:
• Storm
• WS02
– More:
• Scheduled data-set
• In-memory data set

SpagoBI - roadmap
• Meaning
– Connectors from:
• Neo4J
• Freebase
• OrientDB
– Support for open standards:
• RDF
• OWL
– Mining
• R
• MashR
• Text mining
• Show
– Explorative front-end
– Network analysis
– Data visualization
• Services
– Big data as a service
• Multitenant
• Cloud
• BI as a service (ad-hoc+self-service)
Data scientist

Bundle Talend -SpagoBI
The bundle will provide:
a distribution of both tools
interacting one with each other
a use-case that can be run to explore
their functionalities
SpagoBI and Talend announce their bundle!

Solutions Linux 2013: SpagoBI and Talend jointly support Big Data scenarios

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Solutions Linux 2013: SpagoBI and Talend jointly support Big Data scenarios