Big Data Integration
Affordable ETL Accelerators & Alternatives
The Biggest Challenges in Data Integration
Speed
Most data integration jobs are performed in legacy ETL or ELT tools that rely on compiled Java programs or inefficient in-DB transforms. Job design and execution time suffers. So do all the downstream queries and applications that depend on those jobs.
Cost
Hundreds of thousands of dollars and many months are spent building and supporting jobs in legacy ETL tools. Multiple users and licenses add up quickly, and dominate project budgets. SMBs are stuck with open source tools that cannot perform.
Complexity
Long consulting contracts are needed to map new and unclean data sets in old ETL tools or bolt on third-party engines to speed them up. Many ETL tools cannot easily discover, trace, govern, or federate data, and their metadata is cryptic or hidden.
Common Responses and Results
- Procrastinating - chancing SLA-restricted operations on shrinking production windows
- Betting - on complex Hadoop programs, NoSQL or columnar DBs, or proprietary ETL appliances
- Partitioning - transforming data in multiple chunks and stages instead of a single step
- Open Sourcing - needing more hardware to overcome slow engines
- Outsourcing - depending on costly BPO tools, talent, and turnover
- Cloud Sourcing (iPaaS) - adding security and bandwidth concerns to ongoing functional challenges
Real World Solutions
IRI Voracity is an end-to-end data life-cycle management platform that addresses the speed, cost and complexity issues in the data integration market. Use Voracity in greenfield projects, or to accelerate or replace existing ETL tools:
The Voracity Edge
Voracity uniquely combines the seamlessly interchangeable power of IRI CoSort and Hadoop engines with multiple job design and deployment options in Eclipse™. In fact, Voracity has more job design, deployment, and licensing options than any other data integration tool.
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Learning Resources
