As organizations expand, they realize the importance of data integration; the churning of data for information looks very complex for its runtime usability. The ever-growing business demand for information is insatiable, driven by performance management, competitive pressures, industry regulations, and the exchange of data with suppliers, partners, and clients. To make sound and competitive business decisions, an organization must establish a concrete data foundation.

Data integration services become a challenge because organizations deal with current and historical data, diverse sources, complex data models, huge volumes of data, and demand for real-time results. An Efficient data integration solution not only combine various existing ‘islands of information,’ but also plug into new ones with ease. These solutions present a complete, accurate, and futuristic view of business, delivering an information infrastructure to meet strategic business intelligence initiatives.

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Insights

Capabilities in Data Integration


  • Integration of various types of structured or unstructured data sources
  • Data integration services : Profiling, cleansing, and conforming
  • ETL/ELT analysis, design, and development
  • ETL/ELT performance optimization
  •  Metadata management
  •  Building reusable ETL framework design
  •  Implementation of data scrambling techniques
  •  ETL/ELT security model implementation and administration
  •  Round-the-clock support to ETL maintenance and monitoring

Tools

  • Talend:  For Companies that prefer an open-source solution; companies that need many pre-built integrations.
  • Informatica PowerCenter: Large enterprises with large budgets and demanding performance needs.
  • Pentaho: Companies that prefer open-source ETL tools.
  • AWS Glue: Existing AWS customers; companies that need a fully managed ETL solution.
  • Azure Data Factory: ADF automates and orchestrates the entire data integration process from end to end
  • Oracle Data Integrator: Existing Oracle customers; companies that use ELT workloads.
  • Fivetran: Companies that need many pre-built integrations; companies that need the flexibility of multiple data warehouses.
  • Xplenty: Companies that use ETL and/or ELT workloads; companies who prefer an intuitive drag-and-drop interface that non-technical employees can use; companies that need many pre-built integrations; companies that value data security.
  • Stitch: Companies that prefer an open-source solution; companies that prefer a simple ELT process; companies that do not require complex transformations.
  • Matillion: Companies that want to use a simple point-and-click interface; companies that only have a limited number of data sources.

Technologies

  • Python
  •  Perl
  •  PHP
  •  C++
  •  PL/SQL and SQL Server