PROCESSING. PLEASE WAIT...
White Paper: Saama Technologies
This Total Economic Impact (TEI) study was conducted to examine the potential return on investment (ROI) enterprises may realize by deploying Fluid Analytics which is commissioned by Saama technologies and delivered by Forrester Consulting.
Fluid Analytics enables organizations to inherently accelerate their time-to-value on analytics and BI initiatives by building out their very particular modern analytics platform or system of insight as well as unlocking valuable customer data.
•An Overview of Saama Fluid Analytics
•What are the risks involved in the Fluid Analytics Implementation that can affect financial costs
• Four components of Total Economic Impact methodology to evaluate investment value
•Determining the costs associated with the Fluid Analytics solution through economic impact study
Download this whitepaper that represents multistep approach taken by Forrester for the ''Total Economic Impact analysis'' which examines the potential return on investment (ROI) that enterprises can achieve by deploying Saama Fluid Analytics Engine.
By: Fusionex International
Decisions from Data: What is the shortest path ? Making data-driven decision in a complex big data environment presents many challenges for organizations . What is driving organizations to rethink new approaches to shorten the path to data-driven decisions making?? This whitepaper highlights the top priorities as well as challenges that hinders wider adoption of data-driven decision making. It addresses questions like: What challenges organizations are facing in making data -driven-decisions ? What are the key offerings that address the organizations' needs in this process of driving decisions from data? What are the considerations CXOs need to take into account when implementing infrastructure and tools to support the data-driven decision making path? What are the benefits of leading with data-driven decisions in solving business problems? This informative whitepaper comprehensively explains the key trends impacting big data and analytics including: Digitization of Everything: Managing and analyzing new sources of data effectively Security and compliance regulations in the process of driving decisions from data New expectations for information access in making decisions based on data
By: Inspur Group Co. Ltd
Apache Spark is a fast and general engine for large-scale data processing. To handle increasing data rates and demanding user expectations, big data processing platforms like Apache Spark have emerged and quickly gained popularity. This whitepaper on “Optimizing Apache Spark with Memory1”demonstrates that by leveraging Memory1 to maximize the available memory, the servers can do more work (75% efficiency improvement in Spark performance), unleashing the full potential of real-time, big data processing. This Technology Whitepaper Covers: How Spark works? What are the issues that subvert the full potential of Apache Spark’s disaggregated approach? How to simulate the critical demands of a typical Spark operations workload? How to eliminate the hardware cost concerns traditionally faced in multi-server Spark deployments? What efficiency metrics are involved in the Spark operations? Key issues faced by Spark in traditional, DRAM-only deployments How to Avoid the high cost of DRAM-only implementations in Apache Spark architects
2024 All Rights Reserved | by: www.ciowhitepapersreview.com