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data transformations

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Published By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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Amazon Web Services
Published By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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Avi Networks
Published By: NTT Data APAC     Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include: - Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives - Solution lab for Co-Innovation and Proof of Concepts - Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks - Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption - Flexible Delivery - Rapid Development Factory, Shared Services Find more details in this deck.
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NTT Data APAC
Published By: Herman Miller     Published Date: Oct 04, 2018
As workplace researcher Robert Propst observed in A Facility Based on Change, “Not only must we accept change, we must adjust to accelerated growth.” If your office doesn’t reflect who you are now and who you hope to become in the future, accelerated growth can feel especially painful. Whoever you are, you can’t escape change. But we think that workplaces can actually be catalysts for growth without all the growing pains. Whether you’re trying to spark innovative thinking or encourage people to work together more efficiently, you can reach your goals with a workplace tailored to your unique needs. We’ve been capturing workplace data and transforming it into growth-enhancing insight since Propst began studying the connections between people, work, and the workplace nearly 50 years ago. This legacy of workplace research—in combination with the research we do today—informs Living Office®, a research-based placemaking approach that ignites powerful workplace transformations. With Living Of
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Herman Miller
Published By: Avi Networks     Published Date: Mar 17, 2016
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling applications to be re-architected into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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avi networks, load balancing strategy, best practices, software defined architecture, application centric, application performance, application services, application delivery controller, automation
    
Avi Networks
Published By: SAP     Published Date: Jun 23, 2009
Discover the importance of data integration in your environment, and learn about the key challenges, benefits, and approaches to integrating data.
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business intelligence, data integration, sap, businessobjects, data warehousing, sarbanes-oxley, data consolidation, data marts, enterprise information integration, eii, enterprise-class, operational data stores, operational systems, master data management, mdm, data transformations
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
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business intelligence, michael lock, predictive analytics, business insight, business visibility, small to medium sized business
    
SAS
Published By: Clarus Systems     Published Date: Mar 18, 2008
Enterprise networks are going through massive change, and the convergence of voice and data including Communication deployments, upgrades, transformations and ongoing management remain a top priority. According industry analysts at Aberdeen Group, 61% are planning for Communications in the next two years. In order to get the most from their Unified Communications investment at the time of deployment and beyond, enterprises must leverage both active testing and configuration analysis techniques to certify and validate that environments are configured as designed.
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itil, clarus systems, ipt, ip telephony, unified communications, cisco, callmanager, best practices, voice engineering, pdioo, strategies, deployment, operations, day 1, day 2, clarusipc, automated testing, business intelligence, performance management, configuration management
    
Clarus Systems
Published By: Dell EMC     Published Date: Feb 23, 2017
Enterprises of all sizes are undergoing massive data center modernization initiatives. They are looking to use technology to cut costs and drive competitive advantage. At the core of many of these transformations is an effort to reengineer IT delivery models to enable cloudlike flexibility of resources, and reduce both capital expenditures and operational overhead. That is giving rise to the private cloud movement. Indeed, private cloud adoption is accelerating and maturing. IT organizations are looking to the private cloud for the elasticity it can provide to add or remove resources as required. In fact, ESG research reveals that more than three-quarters of organizations would classify their private cloud deployment as either an advanced internal cloud or a basic internal cloud. Those organizations that have virtualized at least half of their production applications are more than twice as likely as their more physical infrastructure-dependent counterparts to categorize their environme
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Dell EMC
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