Big Data News: Zettaset and Actian Partner on Hadoop Solutions, Domino’s Picks Splunk

Add Your Comments

Zettaset and Actian partner on Hadoop solutions; Oxdata releases a new H2O Prediction Engine that companies such as Netflix are trying; Cloudera and Comverse partner; and Domino’s Pizza selects Splunk to help streamline operations.

Zettaset and Actian partner

Zettaset announced that it has  partnered with Actian to integrate automated Hadoop cluster management with advanced analytic creation and information management natively on Hadoop. Combining Actian ParAccel Big Data Analytics Platform and Zettaset Orchestrator will enable enterprises to manage the extreme speed and scale of big data mining and analysis, while maintaining the highest levels of platform security and availability.  The combined solution streamlines the analytic pipeline for business analysis, while taking full advantage of the scalability and flexibility of Hadoop. The solution is distribution-agnostic, meaning that it will work with the leading Hadoop distributions available today, including Cloudera CDH and Hortonworks HDP. “Partnering with Zettaset gives us a big advantage in the Hadoop cluster environment,” said Mike Hoskins, CTO of Actian. “As the Hadoop ecosystem evolves, contributors must focus on providing products and solutions suited to a rigorous production environment. Though some question the value a business can derive from Hadoop in a ‘real’ enterprise setting, Actian and Zettaset take dead aim to deliver that value.”

Oxdata releases new H2O Prediction Engine

Machine learning and predictive analytics company Oxdata announced the latest release of H2O, a prediction engine for big data users of Hadoop, R and Excel. H2O delivers parallel and distributed advanced algorithms on big data at speeds up to 100X faster than other predictive analytics providers. The new release is currently in use at two of the largest insurance companies in the world, the largest provider of streaming video entertainment and the largest online real estate services company. Early H2O customers include Netflix, Trulia and Vendavo. “Big data by itself is useless. It is only when you have big data plus big analytics that one has the capability to achieve big business impact. H2O is the platform for big analytics that we have found gives us the biggest advantage compared with other alternatives,” said Chris Pouliot, Director of Algorithms and Analytics at Netflix and advisor to 0xdata. “Our data scientists can build sophisticated models, minimizing their worries about data shape and size on commodity machines.”

Cloudera and Comverse partner

Cloudera announced a partnership with telecom business enablement company Comverse, to drastically boost big data storage capabilities to support service innovation and slash costs. Comverse is currently deploying the big data solution in a next-generation messaging context for a North American communication service provider (CSP). The new data storage technology is embedded within Comverse products, providing a centralized single HBase platform serving multiple capabilities. “Comverse Digital Services captures the essence and energy of today’s digital lifestyle with unlimited data storage and management, providing a truly differentiating customer experience for both consumers and enterprises,” said Gabriel Matsliach, SVP, Chief Product Officer at Comverse. “Cloudera enables Comverse RCS & IP Messaging solutions to preserve a lifetime of messaging history without limits for even the largest tier-1 CSPs with tens of millions of subscribers: all dates (no expiration), all devices, and all forms of messaging: traditional & IP messaging, chat, multi-chat, file transfer, voicemail and more.”

Domino’s Pizza uses Splunk to strengthen online business

Splunk (SPLK) announced that Domino’s Pizza is using Splunk Enterprise to help the pizza chain strengthen its online business through new levels of customer interaction and understanding. An initial investment in Splunk quickly led Domino’s to expand its use across the organization, leading to revenue insights in both business and marketing through online sales data collected across its entire corporate and franchise network of more than 10,000 stores. Domino’s IT teams routinely resolve issues including quickly identifying and fixing network bandwidth and latency, Internet connection or payment processing issues across stores. Beyond traditional IT operations, Domino’s uses Splunk Enterprise to visualize business sales trends across geographical locations such as orders per minute, numbers of transactions per store, what types of pizza and other food items customers order and what coupons they may be using to do so. “In business and marketing, we have just begun scratching the surface of how we can use Splunk Enterprise to make better decisions. Comparing coupons, for example, already has vastly improved the effectiveness of those campaigns,” said Russell Turner, manager of site reliability engineering, Domino’s. “Splunk software cut our mean time to resolution from hours or days to minutes and seconds, which frees up our IT and engineering teams to spend more time dreaming up new ways to use Splunk. In fact, if we unleashed all the business insights we now have access to with Splunk, we would be inundated with company requests for information. It really is our secret sauce.”

Add Your Comments

  • (will not be published)