Data is the foundation of any information-driven organization. Managing the organizational data for deriving insightful information often becomes a daunting task because data is fragmented and scattered across disparate IT systems. Furthermore, the growth in the amount of data generated in such systems brings in additional complexities in managing the data cycle.
We at AITACS provide services and solutions in all aspects of managing organizational data, from Database architecture, design, development, implementation, to support. Our data management services focus on the following solution areas.
Database management systems are one of the key components of the organizational IT infrastructure that help in collecting, storing, and retrieving the vital data generated by different divisions across the enterprise. Making data always available is important as business depends on it for key decision making. Any disruption in the availability of data can hamper business productivity.
Assessment, Evaluation, Database design, and Configuration
Database Administration services
Database Maintenance services
The growing need for business agility has forced organizations to rethink how they can derive value and key insights from different data silos spread across the organizational landscape. In order to reap the full benefit of the data assets, organizations must effectively use an Information architecture built over a Data Warehouse that integrates the fragmented data silos and helps develop analytical reports that can be used for critical decision making.
Data Warehouse design, development, implementation, and support
ETL and Data Integration services
Business Intelligence and Analytics services
DW: Oracle, Teradata, IBM Netezza
ETL: Informatica, Ab Initio
BI: OBIEE, Cognos, Business Objects, Microstrategy
The exponential growth of both structured and unstructured data from different devices and sources over the last few years has led businesses to rethink how this set of data can be tapped for some key business insights. Handling and managing the astronomical volume of data requires specialized tools and skills for effectively channeling this information and turning them into key business insights.
Hadoop implementation and administration
Data Integration using MapReduce
Migration to Big Data environment
Big Data Analytics solutions implementation
Data Extraction: Pentaho, Apache Flume, Apache Sqoop, Mozenda
Data Storage: Hadoop, MongoDB, Cloudera, Hortonworks, Apache HBASE, Apache HIVE
Data Processing: Apache Spark, MapReduce, YARN, Apache Solr
Analytics: R, Python, Apache Mahout