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modern data integration

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Published By: Attunity     Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights. Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques. Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
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streaming data, cloud data lakes, cloud data lake, data lake, cloud, data lakes, streaming data, change data capture, cloud computing, modern data integration, data integration, data analytics, cloud-based data lake, enterprise data, self-service data
    
Attunity
Published By: TIBCO     Published Date: Nov 11, 2013
When a business event occurs, or a priority request for intelligence comes down the pipe, the modern enterprise has to be able to quickly deliver the right information to the right people. Unfortunately, many organizations continually struggle with accomplishing this task, as the size and complexity of their IT infrastructure rapidly expands. In this latest research, Aberdeen recommends actions for organizations currently involved in data integration, or contemplating the adoption of such practices.
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tibco, mobile strategy, integration, technology, best practices, inefficient integration, platform, business strategy
    
TIBCO
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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StreamSets
Published By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
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ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance, storage device, data storage capacity, data center, environmental management, infrastructure, virtual machine, it operations, consolidate servers, virtualized environments, storage architect, databases application integration, real-time compression appliance
    
IBM
Published By: TIBCO     Published Date: Oct 28, 2013
When a business event occurs, or a priority request for intelligence comes down the pipe, the modern enterprise has to be able to quickly deliver the right information to the right people. Unfortunately, many organizations continually struggle with accomplishing this task, as the size and complexity of their IT infrastructure rapidly expands. In this latest research, Aberdeen recommends actions for organizations currently involved in data integration, or contemplating the adoption of such practices.
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tibco, data integration, infrastructure, aberdeen
    
TIBCO
Published By: Juniper Networks     Published Date: Jun 29, 2017
The bank wanted to modernize its global data center core and edge networks to move to the next stage of its private cloud journey. The bank has long recognized the advantages of server virtualization, and it wanted to move more aggressively to a software-defined data center. The bank was virtualizing all services, including compute, storage, and network, to gain greater business flexibility and deliver cost savings. But first, it needed an elastic, flexible, and production ready network to connect its data centers. The bank wanted a dynamically scalable network to interconnect its data centers in Europe, Asia, and North America, so that it could move toward a fully automated, self provisioned cloud. The global network needed to deliver performance at scale for the company’s highly virtualized resources, while also supporting integration of legacy assets into its software-defined data centers.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Juniper Networks
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