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warehousing

Results 1 - 25 of 162Sort Results By: Published Date | Title | Company Name
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse. Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off? Download now to find out more.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
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cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
How can enterprises overcome the issues that come with traditional data warehousing? Despite the business value that data warehouses can deliver, too often they fall short of expectations. They take too long to deliver, cost too much to build and maintain, and cannot keep pace with changing business requirements. If this all rings a bell, check out Attunity’s knowledge brief on data warehouse automation with Attunity Compose. The solution automates the design, build, and deployment of data warehouses, data marts and data hubs, enabling more agile and responsive operation. The automation reduces time-consuming manual coding, and error-prone repetitive tasks. Read the knowledge brief to learn more about your options.
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dwa, data warehouse automation, etl development, extract transform load tools, etl tools, data warehouse, data marts, data hubs data warehouse lifecycle
    
Attunity
Published By: Aventail     Published Date: Oct 26, 2007
The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
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business intelligence, database, enterprise data warehouse, data mart, data warehouse, data mining, active data warehousing, active data warehouse
    
Aventail
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: AWS     Published Date: Sep 04, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
Tags : 
    
AWS
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: Business Software     Published Date: Apr 04, 2013
SCM is a combination of science and software that encompasses all operations within the supply chain, including the sourcing, acquisition, and storage of raw materials; the scheduling and management of work-in process; and the warehousing and distribution of finished products. With SCM solutions, businesses can streamline and automate the planning, execution, and control of these key activities.
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supply chain management, software, business-software.com, vendors, revealed, scm solutions, control of key activities, management
    
Business Software
Published By: Business-Software     Published Date: Jul 14, 2010
Profiles of the Leading Warehouse Management Software Vendors.
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business software
    
Business-Software
Published By: Caminosoft     Published Date: Aug 21, 2009
Companies today are faced with managing an ever-increasing amount of data. The traditional solution to this problem was to increase the amount of space on a server by adding more hard drives. This strategy would be similar to a person continually building additional rooms onto a house in order to have more space in which to store all his or her belongings, but without any thought as to where items were being stored.
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caminosoft, database management, data center, data management, storage, data warehousing, hsm, netware
    
Caminosoft
Published By: Caminosoft     Published Date: Aug 21, 2009
This paper details CaminoSoft's vision for a disaster recovery solution that provides electronic protection of critical data at a remote location. The solution that provides this remote data protection is CaminoSoft's OFFSite Archive for NetWare.
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disaster recovery, disaster plan, disaster planning, backup, remote storage, off-site storage, netware, data protection
    
Caminosoft
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: Clarabridge     Published Date: Dec 06, 2006
This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
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business intelligence, data warehousing, data mining, content integration, content management system, cms, business analytics, content mining
    
Clarabridge
Published By: Cohesity     Published Date: Aug 21, 2018
As one of the nation’s largest and most sophisticated controlled-temperature food distribution companies, Burris Logistics offers over 60 million cubic feet of freezer warehousing space in 15 strategic locations along the East Coast. For over 90 years, Burris has been a family-owned, family-run business that employs over 1500 people. Burris has built a solid reputation through strong culture, people and commitment to its customers - all reasons why national leading retailers turn to them for custom supply chain solutions.
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Cohesity
Published By: Cohesity     Published Date: Aug 24, 2018
As one of the nation’s largest and most sophisticated controlled-temperature food distribution companies, Burris Logistics offers over 60 million cubic feet of freezer warehousing space in 15 strategic locations along the East Coast. For over 90 years, Burris has been a family-owned, family-run business that employs over 1500 people. Burris has built a solid reputation through strong culture, people and commitment to its customers - all reasons why national leading retailers turn to them for custom supply chain solutions. Download this case study to learn how Cohesity helped Burris Logistics reduce their backup windows by over 80%.
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Cohesity
Published By: Cohesity     Published Date: Nov 20, 2018
As one of the nation’s largest and most sophisticated controlled-temperature food distribution companies, Burris Logistics offers over 60 million cubic feet of freezer warehousing space in 15 strategic locations along the East Coast. Burris Logistics IT Team manages two data centers, one primary and another DR site that supports multiple remote locations up and down the East Coast. Download this case study to see how Burris Logistics acheived these benefits: - Over 80% reduction in backup windows - 25% CapEx savings and ongoing OpEx savings - Simplified operations with an easy-to-use and manage UI
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Cohesity
Published By: Darktrace     Published Date: Jun 17, 2019
H&M manages nearly two million containers every year and provides a range of services — including steamship lines, intermodal trucking, and warehousing — to facilitate effective supply chain management. The company’s attack surface was rapidly expanding as its scope of operations widened, and, having positioned itself as an early champion of increased integration in the industry, it placed paramount importance on adopting a proactive approach to cyber security.
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Darktrace
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed
    
Dassault Systèmes
Published By: Dell     Published Date: Aug 24, 2015
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries.
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dell, big data, hadoop, cloud, data center, cloudera, data warehousing, network architecture
    
Dell
Published By: DellEMC and Intel®     Published Date: Jan 17, 2017
Distributed enterprises often encompass many remote offices that are essential to running the organization and supporting customers. Important activities at the edge include manufacturing, warehousing and distribution, even mobile or remote life-saving environments like health clinics. And while there is usually a central IT staff that creates the overall business architecture for the enterprise, specialized resources to deploy and maintain the infrastructure at the edge can be scarce. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Jan 17, 2017
Distributed enterprises often encompass many remote offices that are essential to running the organization and supporting customers. Important activities at the edge include manufacturing, warehousing and distribution, even mobile or remote life-saving environments like health clinics. And while there is usually a central IT staff that creates the overall business architecture for the enterprise, specialized resources to deploy and maintain the infrastructure at the edge can be scarce. Processeur Intel® Xeon® Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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ultrabook, celeron, celeron inside, core inside, intel, le logo intel, intel atom, intel atom inside
    
DellEMC and  Intel®
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