This document discusses the need for enterprises to establish a cloud-based, agile data foundation for analytics to accelerate insights from big data. It notes that such a foundation can provide seamless data integration, automated data processing, and flexibility to integrate new technologies. It then outlines some key components of an agile data foundation, including data integration, transformation, governance, and tools for ingestion, processing and analytics. Finally, it proposes a stepwise approach for implementing such a solution, including assessment, discovery, implementation, roadmapping, enrichment and optimization.

1. 2017 Copyright. Agilisium
Data Foundation for Analytics
Accelerate discovery of Actionable Insights from
Big Data
www.agilisium.com

2. 2
Enterprises need a Cloud-based, Agile “Data foundation for Analytics” to
accelerate discovery of Actionable Insights from Big Data across levels, while
remaining flexible to support newer technology integration.

3. 3
When skilfully done, Enterprises could realize
several benefits from a Cloud-based, Agile
“Data foundation for Analytics”:
• Seamless data integration from silos
• Rule-based automated data processing
• Faster data access, subjected to data security
policies
• Flexibility to integrate newer technologies

4. Agile Data Foundation – Building blocks
4
Data Integration Data Transformation
Ease of Insights
Discovery
Data Governance
Enable rapid data retrieval and immediate
visibility into the right information
Automate distributed data processing with
provision for Data Stewards to validate and
sign-off corrected data loading
Seamlessly Integrate data from disparate
sources, at scale
Guarantee data quality and consistency through apposite Data security & archival policies, Master Data Management (MDM), Data lineage all driven
by Data Stewardship

5. Challenge – Identifying the right components
5
Big Data ecosystem offers a myriad of options, complexity lies in identifying the right architectural components that closely align with the
use case and strategic goal
Distributed file storage
• Hadoop on premise
• Hadoop in the cloud
• AWS S3
• Cloudera
• HortonWorks
Streaming data Processing
• Apache Kafka
• AWS Kinesis
• AWS EMR
• Apache Spark
In-memory/Cache
• AWS ElastiCache
• VoltDB
• MemSQL
NoSQL databases
• Cassandra
• MongoDB
• AWS DynamoDB
Data ingestion & transformation
• Talend
• SnapLogic
• AWS Glue
Data governance
• Master Data Management(MDM)
• Data Lineage
• Data Security and archival policies

6. Stepwise Solution Approach
6
Assess
• Organization’s Big Data
Maturity Assessment
• Landscape Assessment
• Best practices mapping
Discover
• Understand Business & IT
objectives
• Identify key business use
cases and Prioritize
Implement
• Infrastructure setup
• Agile development and
delivery
Roadmap
• Architecture design
• Implementation Roadmap
Enrich
• Integrate new data sources to
enrich analytical insights
Optimize
• Automated deployment
• Performance optimization

7. 7
Clear data management and data
governance strategies are
interwoven deeply into Cloud-
based, Agile ‘Data foundation for
Analytics’.
This enables enterprises to unlock
intrinsic value of Big Data with
ease, and convert them into
actionable insights rapidly across
levels.

8. About Agilisium
United States
California – Corporate
2629, Townsgate Road, Suite 235, Westlake Village, CA
91361
Virginia
1775 Tysons Boulevard, McLean, VA 22102
Virginia
13800 Coppermine Road, Suite 306,
Herndon, VA 20171
Costa Rica
Heredia
De la escuela de Estados Unidos de America,
2km Norte y 700 oeste, Residencial Villa Flores, Casa 6-
i, San Joaquin, Flores, Heredia, Costa Rica
India
Chennai – Offshore Development Centre
No: 334, 4th floor, Block #2, Futura IT Park,
Rajiv Gandhi Salai, Chennai – 600119, India
Contact
Phone : +1-323-454-0335
Email : contact@agilisium.com
Website : www.agilisium.com
Agilisium is a digital system integrator delivering innovative big data, analytics, and insights based services on cloud.
Implementing design thinking approach, Agilisium helps clients identify unprecedented customer insights, uncover
internal/external data that are critical to accelerate decision-making and build robust systems that are critical to succeed in
digital transformation. With deep expertise in designing and delivering large scale solutions, from cloud-based EDW to scale-
out-data-lake to advanced predictive analytics, Agilisium helps clients realize ROI in 12 to 18 months, with a minimum of 30
percent TCO reduction.