Big Data Support
Ensure Reliable, High Performance Big Data Operations
In the years to come, many experts forecast a more than 50% annual growth rate for the ‘digital universe’. Gone are the days of the terabyte, as the petabyte now lives at the top of the digital food chain. And if it hasn’t already occurred, the zettabyte will soon dominate the data landscape.
The age of Big Data is upon us – and it is here to stay. As data volume, velocity, variability and variety increase, so do the stresses on today’s software infrastructures when they can no longer make sense of data deluge.
Check Out Our 2012 Industry Predictions!
Recently Apache Hadoop has made a splash in the marketplace. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model. It shows promise, but before organizations contend with negative impacts such as reduced visibility or lost revenue opportunities, they must first consider some of the more finite Big Data use cases in practice today. Primarily, these Big Data use cases center on the often overlooked, but ever-so-critical arena of database connectivity and the growing requirements regarding high-performance import and export of data bulk loads.
- Data Warehousing
- Data Migration
- Data Replication
- Disaster Recovery
- Cloud Data Publication
Confused? - Read our Big Data FAQs.
In a well-written, well-tuned application, over 90% 0f data access time is spent in middleware. And data connectivity middleware plays a critical role in how the application client, network and database resources are utilized.
In any bulk load use case scenario, database connectivity is the cornerstone of performance. Over the years, technology vendors made great strides in database optimization as well as the performance of processors and other hardware-based server components. As a result, the performance bottleneck moved to the database middleware – the software drivers that provide connectivity between applications and databases.
Progress DataDirect Connect Bulk Load – Moving Big Data
As enterprise organizations tackle the challenges of assimilating Big Data within existing data infrastructures, high-performance, scalable and reliable data connectivity is an imperative. Moreover, only when IT organizations employ next-generation data connectivity technologies – such as Progress DataDirect Connect ODBC and JDBC drivers or ADO.NET data providers – do they:
- Guarantee the availability of any size data from any source
- Easily move Apache Hadoop Big Data into any data source
- Manage ‘single-driver’ connectivity to a wide array of enterprise databases and platforms
- Deliver the best possible bulk load performance, scalability and reliability
- Deploy with no application code changes or database vendor tools
- Reduce the time, cost and risk of making new data sets available to enterprise users
Enterprise Big Data: Here to Stay and Requiring Superior Data Access
Move Your 'Big Data' Faster with Bulk Load