On Demand Integration modules provide inline access to both relational and non-relational data (e.g. Hadoop) in a quick, convenient interface. Our approach to extensibility supports the iterative process of analytics, the rapid delivery of new analytic applications, and the extension of analytics across organizations and beyond.
On Demand Integration
In the old world, analysts were forced to stand in line behind the operational reporting groups. Bringing new data into the analytics environment could take months.
ParAccel On Demand Integration (ODI) architecture creates an open environment where analysts can bring in new sources of enterprise or external data before or in the middle of a query. It’s the perfect solution for offloading analytics from a Teradata data warehouse or bringing in Internet, ticker, or social media data. Out of the box modules give users access to the full range of data needed to make the right decision every time.
Think of On Demand Integration as a beautiful cooperation among external analytic engines. It’s all about running the right workload on the right platform, for the best possible return on investment. For example, there are certain workloads that run better in Hadoop. It wouldn’t make sense to bring all the Hadoop data into ParAccel. You can simply call Hadoop, let it run the analysis, and bring the results into the ParAccel Big Data Analytics Platform. Get anything you want, any time you need it.
Teradata ODI, Hadoop ODI, ODBC OD are available today. New modules can be created quickly in this open environment via ODI Services.
What’s all the hype about Hadoop? Exabytes of data? Structured and unstructured data? All the world’s data on Hadoop in 2020?
The best way to cut through the noise is to find a way to integrate Hadoop with business data and use it to make decisions that impact the way you run your company and engage your customers. The ParAccel Hadoop ODI does just that.
Let Hadoop run analytics on loads of blogs, tweets and Facebook entries. Bring the sentiment results into ParAccel Big Data Analytics Platform and add the data to your current customer churn analysis. You end up with a much more competitive churn prediction model than you could ever create without the complement from Hadoop.
Hadoop On Demand Integration Module
Terabytes of Teradata.
It’s true. Teradata is everywhere. Especially in many of the largest data warehouses in the world, data warehouses that were built to handle business intelligence and performance management.
The challenge is that it can be very expensive to expand these enterprise data warehouses to support new, more dynamic and complex analytic workloads. They weren’t built for a 30 way join or for running advanced analytic functions.
ParAccel integrates with Teradata to offload analytic workloads to our platform, where they run faster without impacting the reporting and business intelligence operations of the data warehouse. We leverage the Teradata Fast Export utility to create parallel streams of data flowing right into our analytic platform. It’s a win for everyone. Teradata is freed up to do more of what it was designed to do and with analytics running on ParAccel Big Data Analytics Platform, you can do more with enterprise analytics than ever before.
We speak the open database connectivity language just in case your analysts want to grab some data from another database, bring it into a query, and leverage our high performance analytics engine. This means easy access to data commonly stored in in databases like Oracle, SQL Server and others.
When you need to respond in minutes to events captured by your core banking system, simply connect to your operational system or data store. If you want to analyze a richer mix of data but don’t want to store all of the data in ParAccel, that’s fine by us. You may even want a simple hands free way of offloading your analytic workloads from your data warehouse immediately, with no upfront data modeling or indexing required. ODBC ODI does the trick.
On Demand Integration Services
When you have all the power of a high performance analytics engine, why wouldn’t you want to open it up to the world and connect it to the entire datasphere.
That’s why we created a service layer that sits on top of our core analytic database exposing all of the parallelism, optimizations, and raw performance. Anyone can easily create their own on demand integration module without having to be a database expert. Increase the value of your analytics by connecting to machine data, streaming data, or social data via a rich set of service-oriented features. Imagine what you could do with analytics embedded in business processes. That’s the potential of On Demand Integration Services running on ParAccel.