The Attunity Blog
The University of North Texas (UNT) has chosen Attunity Replicate to enable a Hadoop data lake as part of the University’s strategic, real-time analytics initiative designed to improve enrollment, retention and overall student experience.
Today’s enterprise data warehouse is rapidly filling with rising volumes of data from increasingly varied sources. Some analysts estimate that companies use a third of their structured data for analytics. While some IT departments suspect that this is the case, they don’t know how to identify the two thirds of structured data that’s not getting used for analytics.
When an international leader in the food industry needed to merge data from multiple sources, including SAP, into a centralized data lake for analytics, they chose Attunity Replicate for the job.
Broadcasting live from theCUBE, in conjunction with Strata + Hadoop World in San Jose, California, George Gilbert, Big Data & Analytics Analyst at Wikibon, interviewed Attunity CMO, Itamar Ankorion, Attunity customer Chris Murphy of a large global insurance company, and Martin Lidl from Deloitte, the firm that helped build the data lake. They discussed their experience using Attunity Replicate to enable a Hadoop data lake for a major insurance firm and some of the goals, challenges and solutions of the implementation.
What if you could derive real-time insights using ALL of your data? Making ALL of your data available for analytics helps to support business decisions that improve operations, optimize customer service and enable your company to compete more effectively. To do so, companies like yours often look for ways to bring live data into your analytics platform where it can be merged with other to serve a growing number of users.
The creation and consumption of data continues to grow by leaps and bounds and with it the investment in big data analytics hardware, software, and services and in data scientists and their continuing education. The availability of very large data sets is one of the reasons Deep Learning, a sub-set of artificial intelligence (AI), has recently emerged as the hottest tech trend, with Google, Facebook, Baidu, Amazon, IBM, Intel, and Microsoft, all with very deep pockets, investing in acquiring talent and releasing open AI hardware and software.
The Attunity team was excited to announce this week that Poly-Wood, LLC, an outdoor furniture manufacturer, has chosen our data warehouse automation solution, Attunity Compose, to accelerate its data warehousing build process to enable faster analytics delivery in support of business decision making.
This week, we announced the availability of a new release of Attunity Compose, Attunity’s data warehouse automation software. This new release offers significant enhancements for enterprise customers including 10x faster extract, transform, load (ETL) processing speeds as well as advanced DevOps capabilities that streamline the data warehousing design, development and rollout processes.
At $5.3 billion, SAP is the largest ERP market and is used by many of the world’s largest organizations. Demand for making SAP data available in analytics platforms continues to grow, but making this data available for analytics in real-time can be challenging. Attunity Replicate for SAP is a unique solution for this market need.
Recently, Attunity was pleased to announce that the growing US dental benefits provider had selected our universal data integration solution, Attunity Replicate, as its strategic enterprise data ingest and replication platform. The Attunity software will provide Dentegra with real-time data availability and integration across its heterogeneous operational databases and analytic platforms, and is set to displace the dental insurer’s incumbent data replication technology. This initiative is expected to enable Dentegra to accelerate business solutions while reducing IT costs and labor.