This blog was penned by Armando Acosta, Big Data/Hadoop Product Manager at Dell.
The way data is being generated and consumed is causing enormous challenges for customers. They recognize the value of the data, yet are struggling to ingest, store, analyze, and build insights from it all. On top of that, the proliferation of machine data, sensors and smart devices is adding additional pressure. Customer needs are changing based on the demand to analyze data in a fast and efficient manner, within a short window of time, and on a continuous basis. Customers need to speed up data processing based on these new live streams, and they need a processing engine that allows for greater efficiency and the ability to process data in seconds.
Compounding these issues, data analysis is a complex process made up of many steps and a wide variety of tools. In order to complete work, businesses tend to build a workflow comprised of many tools, slowing down productivity because the users must provide all of the translation to give context to each different tool. This burden results in a negative effect on productivity and speed to deliver results a business needs to make proactive decisions.
To further complicate the scenario, customers continue to struggle with the deployment, configuration, tuning, and optimizing of Hadoop distributions and clusters. They want faster deployment of the solution, allowing them to focus on the analysis of the data, and big data solutions that easily integrate and can quickly start delivering value by cutting deployments from months to just weeks or even days.
Dell, together with Cloudera and Intel, wants to help customers solve this problem with a turnkey, purpose built in-memory advanced analytics data platform. The Dell In-Memory Appliance for Cloudera Enterprise with Spark is built to help alleviate these challenges and fill the customer’s needs. It can be used for streaming data processing, analytic tools, and fast interactive queries that finish within seconds.
This preconfigured hardware and software stack takes the time and effort out of deployment, configuration, tuning, and optimizing a Hadoop distribution and cluster for streaming workloads. Dell Services quickly integrates the Appliance into a customer’s environment, speeding deployment by significantly reducing the time it takes to build a bare metal cluster from scratch when you include loading O/S, BIOS, FW, and Hadoop distribution plus network switch configuration.
The Dell In-Memory Appliance for Cloudera Enterprise represents a unique collaboration of partners within the big data ecosystem, who together deliver both the data platform and the software to help enterprises capitalize on high-performance data analysis. They deliver this by leveraging the Cloudera Enterprise Data Hub’s in-memory features (Spark) for interactive analytics on multiple types of workloads. One tool reduces the amount of time spent writing code to help translate workflow between different tools.
Dell wants to help customers build insights from their data, and we will continue to build solutions aimed at solving customer’s needs. The Dell In-Memory Appliance for Cloudera Enterprise is the ignition switch for fast data processing and analysis in one tool.
If you want to learn more please visit dell.com/Hadoop.
Armando Acosta has been involved in the IT Industry over the last 15 years with experience in architecting IT solutions and product-marketing, management, planning, and strategy. Armando’s latest role has been focused on Big Data|Hadoop solutions, addressing solutions that build new capabilities for emerging customer needs, and assists with the roadmap for new products and features. Armando is a graduate of University of Texas at Austin and resides in Austin, TX.