Rackspace and Arcadia Turn Data into Insights
“Big Data” is kind of a big deal. There are no shortage of headlines that describe the exponential growth of data and the promise of technologies like Hadoop to harness its power.
But the reality is, many more big data initiatives fail than succeed.
To make sure failures don’t happen, Rackspace has partnered with Arcadia Data to provide Managed Big Data Analytics powered by Arcadia Data .
Arcadia’s flagship product, ArcadiaEnterprise, is now available as part of Rackspace’s Managed Big Data Solution.Avoiding big data pitfalls
Some companies struggle at the very outset of their projects to architect the right solution or choose the right set of Hadoop projects for the question(s) they’re trying to answer.
Finding the expertise to actually operate the cluster can be another challenge, including mundane but critical tasks such as configuration, monitoring, patching, managing versions and of course, fixing things when they break.
The next place organizations often stumble is enabling analysis by business users who can turn the data into insights that drive action. Failure to complete this critical step may mean the initiative never makes it beyond the pilot phase.
Rackspace provides a purpose-built, dedicated environment and the expertise to assist customers at any point in their big data journey ― but most importantly during the planning and implementation phases, when so many projects fail. We administer and support your solution, freeing you up to focus on other high value activities. We’ll even help you migrate your data.
We work hard on the front end of the user’s journey because we live with the fruits of our labor, evolving and supporting the product.
Don’t just take our word for it. The latest Forrester Wave: Big Data Hadoop Solutions , released in April this year, rated Rackspace as a‘strong performer’ amongeight of the leading cloud providers ― including AWS, Google, Microsoft and IBM, based on 37 different criteria.Stronger together
Arcadia Data provides Hadoop native business intelligence and visualization software, which helps its customers get value out of data stored in Hadoop.
Business analysts and users can explore net-new analytics on billions of data records, scaling to handle thousands of simultaneous sessions with near real-time responsiveness. Arcadia bridges that last mile in a big data initiative and connects end users who can start leveraging the data through a drag-n-drop visual interface.
“The unspoken secret of big data is that if you don’t make architecture and infrastructure part of your strategy, it becomes big AND slow,” says Priyank Patel, co-founder and chief product officer of Arcadia Data. “That defeats the purpose ― and that is what we are solving by partnering with Rackspace, by making our business intelligence and visualization platform available on Rackspace’s fully managed big data environment. At Arcadia, we’ve seen that what really unlocks the value of big data for customers is speed of insight.
“By taking a big-data native approach to visualization and analytics, we let you ‘crush the stack,” Patel continues, “combining speed and scale by running visual analytics and business intelligence directly on Hadoop nodes, rather than extracting it into a slow, complex stack of traditional data management tools. As a result, you can get hundreds of concurrent users to navigate the full scope of the data, not just summary dashboards or slides. And when your data grows ―as it will ― to trillions of data points, you’ll be in a position to continuously make it pay off for all of your end users.”The details
Unlike conventional visualization tools, this is not just a visualization layer that sits above your cluster. It actually runs natively on your Hadoop clusters with no coding required. When users connect Arcadia data to your Hadoop data, they’re able to develop apps and visuals with drag-and-drop ease.
Step 1:Model your data
Step 2:Create your apps and visuals
Step 3:Publish and share your data visualizations.
Arcadia also offers a unique approach to creating visual data applications.
Unlike the charts and graphs you often see with self-service data tools, these app visualizations let you drill down securely to the underlying raw data records.
Multi-tenancy with Arcadia is important for another reason: concurrency. Rather than treating Hadoop as a giant SQL database, Arcadia runs a variety of automated business intelligence data management strategies that structure and partition the data based on what users actually do with the visualizations.
Rather than having DBAs guess what tables and files will be most performance critical, Arcadia monitors what data users work with most frequently, and can adjust the data model on the fly to provide near-real-time responsiveness for hundreds of users across hundreds of billions of records.
These new partnerships are the most recent (but not the last) key milestones reinforcing Rackspace’s position as a strong player in the Big Data market.
Read moreaboutRackspace Big Data, or, ifyou have a funded project and want to derive deeper insights from your data, request an Arcadia trial with one of our Big Data experts by emailing [email protected] .