warehouse

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Published By: IBM     Published Date: Nov 09, 2015
IBM believes the Data Warehouse market continues to expand and adapt to address new requirements for user self-service, increased agility, requirements for new data types, lower cost solutions, adoption of open source, driving better business insight, and faster time to value.
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ibm, data, magic quadrant, data management, analytics
    
IBM
Published By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Dell EMC
Published By: Juniper Networks     Published Date: Oct 19, 2015
Datacenters are the factories of the Internet age, just like warehouses, assembly lines, and machine shops were for the industrial age. Over the course of the past several years, riding the wave of modernization, datacenters have become the heart and soul of the financial industry, which each year invests over $480 billion in datacenter infrastructure of hardware, software, networks, and security and services.
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juniper, datacenter, threat, ciso, enterprise, data, customer
    
Juniper Networks
Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache, networking
    
Altiscale
Published By: Teradata     Published Date: Aug 27, 2015
While your specific data throughput mileage may vary, this paper will share the factors that directly contribute to a Data Movement solution, the data storage ecosystem alternatives, and the pitfalls you may face when attempting to architect such a solution in your data warehouse environment.
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analytics, big data, applications, lob, application integration, analytical applications, configuration management
    
Teradata
Published By: Canon Business Process Services, Inc.     Published Date: Aug 17, 2015
Every business day, corporate campuses across the country function like small cities requiring highly specialized facilities and logistics management services. This paper will explore effective and efficient Corporate Campus Logistics Services to ensure the efficient flow of materials and people at large multi-building office campuses serving thousands of employees. Corporate facilities, real estate management, logistics and procurement teams as well as commercial real estate management companies are charged with sourcing the services that are the underpinnings of these mega-campuses. It’s an effort that spans a wide range—coordinating the receipt and distribution of supplies, equipment and packages; safely transporting thousands of employees as well as suppliers and contractors to locations within the campus; tracking and warehousing countless materials to support daily planned and unplanned workplace needs. Learn more about lowering costs, streamlining operational efficiency and gaining high employee satisfaction.
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canon business process services, outsourcing services, managed services, logistics services, warehouse management, facilities management, commercial real estate management, corporate real estate management
    
Canon Business Process Services, Inc.
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Pushing the start button on information governance.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure
    
IBM
Published By: Sage     Published Date: Jul 08, 2015
Download this research survey to learn more about the returns of technology investments for small and midsize companies.
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technology investments, small company, midsize company, efficiency, technology integration, mobile technology, warehouse logistics, small business
    
Sage
Published By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative.
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data warehouse, big data, unstructured data, implementations, business intelligence, database development, quality assurance, productivity
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
First generation warehouses were not designed to manage data at today's volume or variety. Coercing older technologies to satisfy new demands can be inefficient, burdensome and costly. Read how IBM PureData System for Analytics is built for simplicity and speed.
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big data, data management, hardware, business intelligence, analytical applications, database development, productivity
    
IBM
Published By: Snowflake     Published Date: Apr 14, 2015
Read about what makes data warehousing as a service different from traditional data warehousing–it’s more than just a data warehouse in the cloud.
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snowflake, data warehousing, cloud computing, best practices, data processing, saas, service oriented architecture, web service management
    
Snowflake
Published By: Snowflake     Published Date: Apr 14, 2015
Learn why Snowflake is reinventing the data warehouse to meet the changing nature of data and its usage within the enterprise.
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snowflake, data warehouse, cloud computing, big data, best practices, data warehousing, data center design and management
    
Snowflake
Published By: Snowflake     Published Date: Apr 14, 2015
Find out why data professionals are NOT replacing their data warehouse with Hadoop—read the survey
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dimensional research, data professionals, data warehouse, cloud computing, big data, new technology, virtualization
    
Snowflake
Published By: Teradata     Published Date: Jan 30, 2015
Our goal is to share best practices so you can understand how designing a data lake strategy can enhance and amplify existing investments and create new forms of business value.
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data lake, data warehouse, enterprise data, migration, enterprise use, data lake strategy, business value, data management
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
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ncr, big data, data warehouse, enterprise hadoop, hadoop implementation, teradata, hortonworks, performance data
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Data from the Internet of Things makes an integrated data strategy more vital than ever.
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teradata, internet, things, iot, data, warehouse, analytics, patchwork
    
Teradata
Published By: Teradata     Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce. This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.
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teradata, business, intelligence, hadoop, data, integration, analytics, mapreduce
    
Teradata
Published By: Teradata     Published Date: Jan 27, 2015
There is little question about the role that SAP® BW has historically played in the SAP® infrastructure. It has been a key element in unlocking SAP’s vast and complex store of operational data housed in their ERP applications. One can easily think of BW as the original Rosetta Stone for this data. For without it, end users and IT shops would have faced daunting coding tasks attempting to cull the proper elements out of the SAP® ERP code for reporting. However, BW and the associated tools around it were rudimentary to begin with, and have not advanced to where it meets the pressing demands of todays’ end users. The New Rosetta Stone 2.0 for SAP® ERP Data —And More. Download now!
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rosetta stone, data, erp, sap®, teradata, it management
    
Teradata
Published By: IBM     Published Date: Jan 26, 2015
IBM Bluemix, a robust platform as a service (PaaS) to host and deploy your app, also provides a wide range of enterprise grade tools that can be used in your applications to run your business needs. The Analytics Warehouse Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence (BI) and analytics tasks. Check out this upcoming webcast to learn how you can create a ready-to-use BI and analytics service on Bluemix, in just a few clicks, and even access those results on an Android app.
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analytics service, open cloud platform, ibm, web developers, mobile developers, business integration, security, it management
    
IBM
Published By: Teradata     Published Date: Jan 20, 2015
This Neil Raden and Teradata webinar explores: The business values gained from an integrated view of SAP® and non-SAP® data; Existing solutions and challenges; Requirements for the optimal BI and analytics platform, and; A new solution that simplifies and enhances BI analytics for SAP® ERP data.
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data warehouse, teradata, business value, analytics platform, erp data, data management
    
Teradata
Published By: Pentaho     Published Date: Jan 16, 2015
If you’re considering a big data project, this whitepaper provides an overview of current common use cases for big data, from entry-level to more complex. You’ll get an in-depth look at some of the most common, including data warehouse optimization, streamlined data refinery, monetizing your data, and getting a 360 degree view of your customer. For each, you’ll discover why companies are investing in them, what the projects look like, and key project considerations, including tools and platforms.
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big data, nosql, hadoop, data integration, data delivery, data management, data center
    
Pentaho
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