Experience the ease and flexibility of combining data, residing in different sources in a unified view. We integrate the various systems in an organization ERP’s like SAP, Oracle, Navision etc. CRM systems like Sales Force, Dynamics etc. and databases like SQL Server, MY SQL, Oracle etc. for data integration for data inter-operability between various systems and data warehouse Projects.
Methods of data integration can include accessing databases (JDBC, ODBC), parsing formatted files (fixed width, delimited, CSV, XML), extracting archives (ZIP, JAR, TAR), retrieval from file transfer (FTP, SCP), messaging (JMS, AMQP), and consuming web services (SOAP, REST). A data integration strategy commonly uses one or more of the following practices:
Extract, Transform, Load (ETL) - extract from source, transform into structure, and load into target.
Enterprise Information Integration (EII) - unified view of data and information for an entire organization.
Enterprise Data Replication (EDR) - synchronization from real-time processing of captured data changes.
Enterprise Application Integration (EAI) - middleware that enables integration of systems and applications.
The data integration practice encompasses a broad range of service offerings. We help clients resolve syntactic, schematic, semantic and system conflicts between data. With a suite of products and services, our team consistently creates reliable, efficient and easy-to-maintain solutions to support organizational data integration requirements.
Our data management services help clients process high-volumes of data while enhancing data quality and access to critical information from across organizations.
Our data synchronization services allow clients to synchronize structured, unstructured and semi-structured data from a wide range of systems and applications. We address data format complexities without compromising security, data quality or access to real-time information.
Our data cleansing services ensure that all the enterprise data is in a standardized format and is accurate and up-to-date. Cleansing includes validating data, identifying incorrect or inconsistent data and providing mechanisms for correcting or alerting administrators about erroneous data. Data fields are mapped to appropriate domains and are cleansed based on specified business rules.
Organizations are facing challenges with analyzing and optimally using enterprise data that is stored across various data stores. Our team helps clients transform functional data silos and models into a unified knowledge-base while defining business rules and transformation data logic.
We offer data integration solutions that will help you respond quickly to emerging business opportunities and rapidly changing market trends. We provide cost-effective information management services and solutions that enable clients to realize improvements in their operations, achieve cost reductions, and accelerate their use of business knowledge by the exploitation of coherent, innovative, reliable, and flexible information assets.
iShore provides industry specific analytics solutions like Airport Analytics, Finance Analytics and Insurance Analytics. The ETL is pre-built i.e., the extraction programs, transformation routines and load procedures are pre-built..
A typical business scenario is one wherein data needs to be collected from numerous log files, processed and stored in an easy to query format so that business users can easily query this data for insights.
We have the proven expertise to pull in Big Data from several data sources, process it and store it in a Hadoop DW.