Data Integration

Data Integration

Experts at Bloor Research estimate up to 80% of a data scientist's time is spent preparing the data rather than analyzing it.

Data integration, also known as Extract Transform Load (ETL) has been around for many years. But now more than ever before, prominence of data integration has come the fore. This is due to the vast amounts of data generated by various sources like smart phones, wind mills, electric plants, automobiles and entertainment. Data integration is the process of combining data from many different sources into an application. Right data needs to be delivered in right format in the right time and in right grain to fuel great analytics and business processes.

We at IT Caliber specialize in data integration techniques acquired through experience over the years and also the significant research done by our consultants. Whether it is data or big data integration, our consultants will bring value to the table that is unmatched. We work with all the data integration tools. Tools that have been ruling the roost for years like Informatica, DataStage and the fast emerging ones geared towards big data like Pentaho and Talend.

Informatica

For more than 20 years, Informatica Data Integration has refined fragmented data—small or big, clean or dirty, complete or incomplete—into complete, trustworthy assets.

Development agility: Tools that make it easy for business and IT to prototype, operationalize, and reuse quickly.

Enterprise scalability: Deployable with flexibility for departments, enterprises, or Integration Competency Centers.

Operational confidence: Provides visibility and insight into your business-critical processes.

IBM InfoSphere DataStage

IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.

  • Powerful, scalable ETL platform
  • Support for big data and Hadoop
  • Near real-time data integration
  • Workload and business rules management
  • Ease of use
Pentaho

Pentaho increases speed-of-thought analysis against even the largest of big data stores by focusing on the features that deliver performance.

  • Instant access—Pentaho provides visual tools to make it easy to define the sets of data that are important to you for interactive analysis.
  • High performance platform—Pentaho is built on a modern, lightweight, high performance platform.
  • Extreme-scale, in-memory caching
  • Federated data integration
Talend

Industry Leading Functionality at 1/5th the Price

Talend’s Open Source, subscription model is disrupting the market and fundamentally lowering the cost of ownership for integration solutions. Unlike other vendors, Talend charges per developer with no hidden fees per connector or extra charges for capacity. Subscription pricing means customers only pay for what they need with dramatically lower up-front investments. This lowers costs and makes it much easier to predict spend with Talend.

The Talend Data Fabric is the industry’s only integration platform that lets customers seamlessly move between batch, streaming and real-time while running on-premises, in the Cloud or with Big Data. Talend gives users a single design interface for all their integration, data quality and master data management needs.

Microsoft SSIS

Microsoft SSIS (SQL Server Integration Services) is an enterprise data integration, data transformation and data migration tool built into Microsoft's SQL Server database. Variety of data integration-related tasks, such as analyzing and cleansing data and running extract, transform and load processes can be done efficiently using SSIS.

Microsoft Integration Services is a platform for building enterprise-level data integration and data transformations solutions. You use Integration Services to solve complex business problems by copying or downloading files, sending e-mail messages in response to events, updating data warehouses, cleaning and mining data, and managing SQL Server objects and data. The packages can work alone or in concert with other packages to address complex business needs. Integration Services can extract and transform data from a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.