SOLUTION BRIEF BIG DATA MANAGEMENT. How Can You Streamline Big Data Management?

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1 SOLUTION BRIEF BIG DATA MANAGEMENT How Can You Streamline Big Data Management?

2 Today, organizations are capitalizing on the promises of big data analytics to innovate and solve problems faster. Big Data Management solutions from CA Technologies provide a unified approach for effectively managing and monitoring heterogeneous big data environments (Hadoop, Cassandra) across the enterprise, in order to maximize enterprise operational efficiency.

3 3 SOLUTION BRIEF: BIG DATA MANAGEMENT ca.com Executive Summary Challenge In today s application economy, organizations are capitalizing on the promise of big data to gain a competitive advantage. However, big data management is a challenge for most. The challenges present themselves differently dependent upon your role in the company, and the infrastructure that you have implemented or plan to implement. Understand these challenges and solving them can help you apply the results of your big data analytics to your business more quickly. Opportunity Big Data Management solutions from CA Technologies can help visualize and streamline the management of big data with confidence, and extend flexibility and control in the management of Hadoop environments. This can help enterprises make better business decisions based on results, and reduce the cost and complexity of managing the processes and infrastructure involved. Benefits Big Data Management solutions from CA Technologies unify the view of enterprise big data infrastructure for greater visibility; simplify the monitoring and management of complex, multi-vendor environments and reduce the complexity of managing vendor-specific tools to help streamline your big data management responsibilities with the confidence that your solution is reliable. These benefits allow you to more easily and efficiently address capacity requirements for rapidly changing business needs, isolate system problems, detect negative trends and mitigate them as quickly as possible to achieve maximum operational efficiency of your Hadoop environment.

4 4 SOLUTION BRIEF: BIG DATA MANAGEMENT ca.com Section 1: How has Hadoop Changed Big Data Management? Perhaps more than any single technology, Apache Hadoop has helped bring big data capabilities to the masses, offering organizations an open-source software framework for distributing storage and processing across clusters of commodity hardware. Through these capabilities, organizations can economically employ big data techniques to mine more value out of their information repositories Big Data, big challenges However, for those tasked with managing Hadoop environments and service levels, the very advantages these technologies provide, namely highly distributed, processing-intensive workloads, can pose significant challenges: How do you track performance across all the nodes in operation? With so many inter-reliant components, how do you quickly determine whether service levels are on target, and if not, where the issue is? How can you track performance across the complex ecosystem of hardware and networking equipment on which these systems rely? How do I monitor performance of my big data and IT infrastructure through a single view and architecture? How do I more efficiently integrate my mission-critical mainframe data into my Hadoop infrastructure? Section 2: Addressing the Challenges: Big Data Management Solutions Big Data Management solutions from CA Technologies provide the capabilities to help organizations conquer big data challenges. Our Big Data Management solutions are designed to dramatically simplify how heterogeneous big data environments are managed and monitored, so that organizations are able to maximize the value of their business-critical information. This will help customers achieve substantial return on investment (ROI) by maintaining a high quality of service, reducing the cost and complexity of managing mission-critical data, and realizing greater operational efficiency.

5 5 SOLUTION BRIEF: BIG DATA MANAGEMENT Section 3: Providing Big Benefits: Big Data Management Solutions Our Big Data Management suite of solutions include: CA Big Data Control Center provides a new, consolidated approach for effectively managing heterogeneous big data Hadoop environments from a single, unified dashboard to maximize enterprise operational efficiency. Advanced management capabilities enable administrators to proactively identify and mitigate problems before they cause system degradation or outages that may result in application downtime. CA Unified Infrastructure Management for Big Data allows enterprises and service providers to gain comprehensive coverage to more efficiently and proactively optimize the performance of their big data environments such as Hadoop and Casandra and related IT Infrastructure. vstorm Connect Data Streaming for Big Data helps enable better analytics by providing self-service access to enterprise data. An intuitive GUI allows users to browse and select data from within the IBM z Systems environment. Users can then copy or schedule for copy that data in near real-time to their Hadoop or Linux distribution of their choice, without staging or costly MIPS charges. Access to mainframe transaction and log data is essential to better data-driven decisions. To learn more about Big Data Management solutions from CA Technologies, visit ca.com/bdm.

6 6 SOLUTION BRIEF: BIG DATA MANAGEMENT Connect with CA Technologies at ca.com CA Technologies (NASDAQ: CA) creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. Software is at the heart of every business, in every industry. From planning to development to management and security, CA is working with companies worldwide to change the way we live, transact and communicate across mobile, private and public cloud, distributed and mainframe environments. Learn more at ca.com. Copyright 2015 CA. All rights reserved. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies. Apache and Hadoop are both trademarks of the Apache Software Foundation. This document is for your informational purposes only. CA assumes no responsibility for the accuracy or completeness of the information. To the extent permitted by applicable law, CA provides this document as is without warranty of any kind, including, without limitation, any implied warranties of merchantability, fitness for a particular purpose, or noninfringement. In no event will CA be liable for any loss or damage, direct or indirect, from the use of this document, including, without limitation, lost profits, business interruption, goodwill or lost data, even if CA is expressly advised in advance of the possibility of such damages. CS _0515