Big data wins aren’t about which vendor is better than the next or which analytics provider offers the best algorithms.
”Hadoop is transformative,” Hortonworks President Herb Cunitz told the crowd at the Hadoop Summit this week in San Jose, Calif.
It’s not an experiment. It’s not a technology for one application, he explained. “It transforms business models and creates new business models,” he said, adding that’s it’s not a “winner take all” one-vendor game.
The real value comes from an ecosystem mashup that might include products and/or services from technology stalwarts like EMC, IBM, Microsoft, VMware and others; data system providers like Actian, Cloudera, Hortonworks, MapR, SAP and Teradata; and application and business tool makers like Datameer, Platfora, SAS, SnapLogic and Tableau.
There are a seemingly endless number of vendors in each category and more and more coming out of stealth each week.
At the end of the day the third platform is all about “Community” it seems. While we can’t provide that latest on all of them, here are some announcements we took notice of this week.
Keeping Big Data Safe, Accessible
Big data can be a big deal unless it’s locked up where no one can reach it. Worse yet, it can become an absolute horror if the bad guys are able to access it when it’s supposed to be secure.
The question then is: How do you keep all your data and protect it at the same time?
Dataguise, which provides data-centric discovery and data protection for Hadoop and other big data environments, offers an answer with its latest version of DgSecure 5.0.
It was built to help companies scale sensitive data discovery, automate data protection and achieve a 360-degree view of their sensitive data assets across big data and traditional data repositories both on-premises and in cloud platforms.
Cloudwick and Pepperdata Team Up
Hadoop jobs can saturate disks or networks thereby interfering with other jobs and slowing them down significantly. That’s a big problem that can be easily solved if you use Cloudwick Insight for Hadoop.
At least that’s the pitch that Cloudwick, an open source systems integrator is making at Hadoop Summit today. Cloudwick Insight for Hadoop is powered by Pepperdata, which provides optimization software controls for all facets of system performance, including CPU, memory, disk I/O and network by user, job and task, in real time.
Microsoft Azure Loves Hadoop
The best cloud for Hadoop is Azure, and it will support any flavor you want. This morning MapR and Microsoft announced that enterprises would soon be able to launch a full Hadoop cluster based on MapR as an Azure Virtual Machine with a few clicks.
What’s the big deal?
There’s now a speedy onramp for Microsoft customers who want to use MapR, or MapR customers who want to use Azure. But that’s not all. The deal also brings with it Microsoft’s Azure Data Lake, SQL Server and Power BI.
It’s worth noting too that relationships like this already exist with Hortonworks and Cloudera.
Dell and Syncsort Partner
Enterprise Data Warehouses (EDW) tends to be expensive and overloaded. Data storage in Hadoop on commodity hardware or the Cloud is cheap. Not only that, but most data warehouses weren’t designed to hold the quantities of data that are being created today as byproducts from social networks, mobile networks and the Internet of Things (IoT).
Like with most big data born problems, there are vendors building solutions. In this case Syncsort, a provider of big data software, is teaming with Dell to help businesses improve operational efficiency, lower costs and take advantage of advanced analytics by shifting expensive workloads and associated data from overloaded enterprise data warehouses (EDW) to Hadoop.
Dell is working with Syncsort to integrate its powerful and easy-to-use Hadoop ETL software, DMX-h, with Cloudera's Enterprise Data Hub as part of a new reference architecture to help organizations begin their big data initiatives. The reference architecture will enable customers to offload ETL workloads to Hadoop, increasing performance and freeing up valuable cycles in the EDW.
Big Data Insights, Fewer Headaches
End users really don’t care about Hadoop or most other technologies that don’t face them. What’s important is to get data based answers to their questions and insights into their business so that they can make decisions. And they want these now, not after you define and design your big data architecture, select your tools, train your team…
Their working together not only makes sense but also provides value to users. This week they announced the formation of a strategic partnership that combines the companies’ offerings to help businesses generate faster insights from large volumes of data without wasting unnecessary time and resources.
More News to Come
Big Data is too big a deal and too big an opportunity for any single vendor to handle alone. That’s a theme we heard over and over at the Hadoop Summit today. It’s why we’ll keep our eyes and ears open for interesting updates.
Simpler Media Group, 2015