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warehousing

Results 1 - 25 of 162Sort Results By: Published Date | Title | Company Name
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: Motorola Solutions     Published Date: Apr 26, 2019
When it comes to enhancing worker safety, boosting productivity and streamlining operations, communication matters. Organizations across various industry segments — trucking, rail, airlines and airports, and warehousing/distribution — are juggling a mix of communication devices and hindered by gaps in coverage, poor battery life and fragile equipment that cannot withstand harsh environmental conditions.
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Motorola Solutions
Published By: Motorola Solutions     Published Date: Apr 26, 2019
ffective communications are the foundation for any good team, and the transportation and logistics (T&L) sector is no exception. Charged with managing the warehousing, inventory, and movement of freight across the supply chain — both through internal and external distribution networks — T&L professionals rely on high levels of team collaboration to get the job done right. By helping companies leverage the knowledge, talents, and insights of their people, effective team communications ensures that customers get their deliveries when, how, and where they want them. Meeting those expectations in today’s fast-paced, demanding distribution environment requires reliable, clear voice and data logistics communications that start at the warehouse and end at the point of delivery. In this white paper, we explore the key challenges that T&L companies are facing in today’s business environment and hear how instant push-to-talk and advanced video surveillance can help them develop streamlined suppl
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Motorola Solutions
Published By: RSM US     Published Date: Apr 01, 2019
Middle market companies face a host of warehousing challenges that can limit growth and potentially hamper sustainability. Your organization must work to understand these issues and develop solutions to store, manage and move goods more effectively and therefore increase efficiency and productivity. With competition growing and new enhancements reaching the market on a regular basis, your company must be proactive to build and retain a competitive advantage. While each company is different, with unique issues and goals, the following four struggles are common across companies and their warehouses.
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RSM US
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, security and compliance, data movement, hybrid cloud, hybrid cloud environment, cross-platform automation, portability
    
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, data integration, change management, data migration, consolidating data, cloud data warehousing, data warehouse design, attunity compose
    
Attunity
Published By: RSM US     Published Date: Feb 06, 2019
Competition and growth demands are intense in today’s environment. Margin pressure and increasing customer requirements create a need for laser focus on the customer experience, a true understanding of costs and margins, and experience to align your supply chain with your organizational strategy.
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RSM US
Published By: Google     Published Date: Jan 24, 2019
Modernizing your data warehouse is one way to keep up with evolving business requirements and harness new technology. For many companies, cloud data warehousing offers a fast, flexible, and cost-effective alternative to traditional on-premises solutions. This report sponsored by Google Cloud, TDWI examines the rise of cloud-based data warehouses and identifies associated opportunities, benefits, and best practices. Learn more about cloud data warehousing with strategic advice from Google experts.
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Google
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: Google     Published Date: Oct 26, 2018
Modernizing your data warehouse is one way to keep up with evolving business requirements and harness new technology. For many companies, cloud data warehousing offers a fast, flexible, and cost-effective alternative to traditional on-premises solutions. This report sponsored by Google Cloud, TDWI examines the rise of cloud-based data warehouses and identifies associated opportunities, benefits, and best practices. Learn more about cloud data warehousing with strategic advice from Google experts.
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Google
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: 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.
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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: 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: 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: 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: Zebra Technologies     Published Date: Aug 09, 2018
The exponential growth of omnichannel shopping and ever-burgeoning demand for faster merchandise deliveries is redefining the supply chain’s distribution of consumer products goods. A seminal shift in how shoppers increasingly buy via multiple touch points — online from desktop computers, mobile devices and in-store — has created the need for the “smarter” warehouse to serve today’s connected consumer. As retailers look to merge their brick-and-mortar and online operations to cut costs and boost efficiency, warehouse management systems must keep pace. For this report, Zebra Technologies analyzed the state of the warehousing marketplace among firms in the US and Canada with at least $15 million in annual revenues. The online survey asked IT and operations personnel in the manufacturing, retail, transportation and wholesale market segments to share their insights and business plans over the next five years, in light of a rapidly changing industry.
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fulfillment, vision, study, technology, manufacturer
    
Zebra Technologies
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: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
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: Zebra Technologies     Published Date: May 02, 2018
The exponential growth of omnichannel shopping and ever-burgeoning demand for faster merchandise deliveries is redefining the supply chain’s distribution of consumer products goods. A seminal shift in how shoppers increasingly buy via multiple touch points — online from desktop computers, mobile devices and in-store — has created the need for the “smarter” warehouse to serve today’s connected consumer. As retailers look to merge their brick-and-mortar and online operations to cut costs and boost efficiency, warehouse management systems must keep pace. For this report, Zebra Technologies analyzed the state of the warehousing marketplace among firms in the US and Canada with at least $15 million in annual revenues. The online survey asked IT and operations personnel in the manufacturing, retail, transportation and wholesale market segments to share their insights and business plans over the next five years, in light of a rapidly changing industry.
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warehouse, merchandise, delivery, demand, devices, computers
    
Zebra Technologies
Published By: Oracle     Published Date: Mar 22, 2018
s your information technology (IT) organization pressured to get more work done with fewer people or on a constricted budget? Do you need to make IT a competitive asset rather than a cost center? Does your business struggle with slow software applications or data that's too often unavailable? If you answered "yes" to any of these questions, it's time to take a close look at Oracle Exadata, the world's fastest database machine exclusively designed to run Oracle Database. It is the first database machine optimized for data warehousing, online transaction processing (OLTP), and database consolidation workloads as well as in-memory databases and database as a service (DBaaS).
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Oracle
Published By: Staples     Published Date: Jan 29, 2018
As a Staples Business Advantage® customer, exclusive content is just one of the perks you can access any time. In this white paper, industrial shipping expert Dave Fromm looks at how the industry has transformed over the last 20 years and how to save money, warehousing space and more. Get your copy today.
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industrial shipping, staples business advantage, warehousing
    
Staples
Published By: Snowflake     Published Date: Jan 25, 2018
"The forces that gave rise to data warehousing in the 1980s are just as important today. However, history reveals the benefits and drawbacks of the traditional data warehouse and how it falls short. This eBook explains how data warehousing has been re-thought and reborn in the cloud for the modern, data-driven organization."
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Snowflake
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