AceInvent Hadoop solution provides a smarter approach, turning your Hadoop environment into a complete Data Integration Solution. Effective ETL starts with the right connectivity to leverage all your data.
Unleash Hadoop’s potential with high-performance connectivity to move data into and out of Hadoop from virtually any system. Our Big data Hadoop solutions include native connectors to all major data sources and targets, including Relational databases (RDBMS), appliances, XML, cloud sources, files, and mainframe. With AceInvent, you can sort, transform, partition and compress the data before loading into HDFS. We manage multiple streams of data which are loaded simultaneously into HDFS by using open source Hadoop components like MapReduce, Pig, Hive, Sqoop, HBase, Spark etc.
The key business benefits can be summarized as –
- Reduced IT costs– Hadoop being an open source system, there is no license cost. As it can be set up mostly by using commodity hardware, the initial investment as well as cost involved in scaling up the system to handle the future high volume of data is cost-effective.
- Highly scalable and fault tolerant– The system is built to handle massive data and scalable and fault-tolerant aspects are inherent. It is set up in a clustered framework and new nodes can be added to the cluster to handle the ever-growing volume of data.
- Common Reporting Platform –The newly introduced data layer named “Consolidated” provides a common platform for all the applications to access data from for the reporting needs. Prior to its implementation, each application had their own set of data layer to pull data from. This has resulted in less maintenance and less complexity in processing the data for the downstream applications
Our big data and advanced analytics consulting team help companies use larger and broader data sets that are both structured and unstructured, to answer complex business problems.