Leading enterprises are finding a new way to build a sustainable advantage over their competition with an old trick: They know their customers better than anyone else. How? They’re applying new big data and predictive analytics solutions to huge stores of enterprise data and new data streams to gain insights they can monetize.
There is actionable information to be gleaned from new sources like website click-streams, but when combined with the contextual enterprise data of customer and transaction data, the richness is multiplied.
In sectors like financial services, banking and insurance, these customer insights help detect fraud, reduce loan risk, and find new opportunities in cross-selling services.
When big data solutions are combined with the cloud, businesses can manage more (and larger) data streams to increase the success of their analytics, build and deploy solutions more quickly, and affordably scale to the size they need. This is agility with insight.
Data Integration Challenges into Cloud Platforms
Traditional solutions to enterprise data integration were not purpose-built for big data and cloud platforms, and this has made implementation expensive and complex.
Now, Veristorm’s vStorm Enterprise solves the challenges of enterprise data integration into Hadoop and other big data solutions on cloud platforms.
It provides a secure gateway to cloud-based analytics solutions
Nothing to install: vStorm Enterprise runs as a cloud service
Reduce mainframe costs: Data is extracted in native form
Data conversion is automated for DB2, VSAM, QSAM, Datacom/DB and others
Eliminate data conversion costs: Data is converted on the fly on the target platform
Preserve analytic agility; metadata is also extracted and converted
Low-latency, because data is copied and converted without staging
Filter data before export
With the introduction of vStorm Enterprise 3.0, Veristorm supports all of the major cloud vendors and solutions, including database as a service, Hadoop and Spark in the cloud, and cloud-based file storage.
SoftLayer: Copy enterprise data into SoftLayer as-is for your own projects, or insert enterprise data (like VSAM) directly into NoSQL solutions like Cloudant and DashDB. Hadoop and Spark are also supported, including Hive.
Bluemix: Now when you use Bluemix to rapidly deploy an application, you can move equally rapidly to populate it with production data. Cloudant, DashDB, MongoDB are all supported as NoSQL platforms.
Oracle Big Data Cloud Service is supported for low-latency data import from mainframe sources like DB2. Because metadata is supported, the target application does not have to be tightly coupled to the incoming data.
The vStorm Enterprise software can import mainframe sources like DB2 or VSAM directly into Google’s BigTable and CloudSQL.
Now you can copy mainframe enterprise data into to Amazon’s Elastic MapReduce through direct streaming to S3 for less expensive archive.
Microsoft’s SQL Server (RDBMS as service), DocumentDB (NoSQL DB as service) and HDInsights applications are built upon the Microsoft Azure clould layer. All of these are available as low-latency targets for data movement.
For more information
Visit our vStorm Enterprise product page.