Future-proof Big Data Management
As the pace of business increases and organizations face overwhelming competitive pressure to transform their businesses, there is an opportunity to modernize and optimize data architectures to enable data to become a strategic asset for organizational decision making. The emergence of Apache Hadoop now gives organizations the luxury of using more data for analysis than ever before. But organizations are unable to turn most of their big data into trusted business insights due to antiquated and manual approaches of hand coding and code generation that leave most big data siloed, inconsistent, and incomplete.
Easily integrate more data faster from more data sources
Our Big Data Management solutions delivers high-throughput data ingestion and data integration processing so business analysts can get the data they need quickly. Hundreds of pre-built high performance connectors, data integration transformations, and parsers enable virtually any type of data to be quickly ingested and processed on big data platforms, such as Hadoop, NoSQL, and MPP appliances. Beyond pre-built components and automation, we can provide dynamic mappings, dynamic schema support, and parameterization for programmatic and templatized automation of data integration processes.
With a smart performance optimizer that is compatible with multiple processing engines, including MapReduce, Spark, Apache Tez, ... our Big Data Management solutions delivers maximum developer productivity, operational reusability, and data integration performance that ultimately shortens the time to value for business needs. It provides the gold standard in big data integration solutions so more big data can be turned into business value quickly.