warehouse

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Published By: Zebra Technologies     Published Date: Oct 17, 2018
How to Optimize Warehouse Productivity In Four Steps.
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Zebra Technologies
Published By: Group M_IBM Q4'18     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q4'18
Published By: StreamSets     Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
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replatforming, age, data, lake, apache, hadoop
    
StreamSets
Published By: StreamSets     Published Date: Sep 24, 2018
Treat data movement as a continuous, ever-changing operation and actively manage its performance. Before big data and fast data, the challenge of data movement was simple: move fields from fairly static databases to an appropriate home in a data warehouse, or move data between databases and apps in a standardized fashion. The process resembled a factory assembly line.
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practices, modern, data, performance
    
StreamSets
Published By: Oracle     Published Date: Sep 21, 2018
Agility and speed are required in the cloud economy. Modernize data warehouses with built-in adaptive machine learning to eliminate manual labor for administrative tasks. With Oracle, businesses can now build data warehouses or data marts in minutes.
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Oracle
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
AbeBooks, with Amazon Redshift, has been able to upgrade to a comprehensive data warehouse with the enlistment of Matillion ETL for Amazon Redshift. In this case study, we share AbeBooks’ data warehouse success story.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
AbeBooks, with Amazon Redshift, has been able to upgrade to a comprehensive data warehouse with the enlistment of Matillion ETL for Amazon Redshift. In this case study, we share AbeBooks’ data warehouse success story.
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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: Amazon Web Services     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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Amazon Web Services
Published By: Elementum     Published Date: Sep 03, 2018
Here are a few things to keep in mind to get your team on the right path and push forward with an effective solution.
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elementum, digital strategy, digitization, supply chain, logitics, warehouse management, business technology
    
Elementum
Published By: Epicor     Published Date: Aug 28, 2018
By now, mobile technology has become an essential part of people’s lives. As both consumers and staff trend more toward a younger, digitally savvy demographic, lumber and building materials (LBM) businesses need to take advantage of mobile tools or risk losing to the competition. Mobile technologies can bring incredible benefits to LBM enterprises for delivery and dispatch, field sales, the selling floor, and the warehouse. To better help you seize the mobile advantage, Epicor has identified eight ways your LBM business can leverage mobile technologies to foster growth, including: • Serving your customers with the latest information • Serving your customers with timely, accurate deliveries • Driving revenue with increased efficiency • Streamlining operations Check out this Epicor tipsheet and discover how else your LBM business can benefit from mobile technologies.
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lumber, building materials, lbm, erp, bistrack, lumber distributors
    
Epicor
Published By: Amazon Web Services     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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Amazon Web Services
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: Amazon Web Services     Published Date: Jul 25, 2018
Die Recherchen von IDC haben ergeben, dass in den nächsten Jahren die meisten IT-Workloads in die Cloud verschoben werden. Doch neben all den positiven Berichten über Unternehmen, die in die Cloud umziehen, gibt es auch Unternehmen, die sich noch immer fragen, ob ein solcher Wechsel wirklich kosteneffizient ist und welche Vorteile sich aus einem solchen ergeben. Während die Antworten auf solche Fragen von Workload zu Workload variieren, gibt es ein Element, das besondere Aufmerksamkeit auf sich zieht: das Data-Warehouse.
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Amazon Web Services
Published By: Amazon Web Services     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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Amazon Web Services
Published By: Infosys     Published Date: Jun 12, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed. A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
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data, fortress, modernize, business, applications, telecom
    
Infosys
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
Published By: Infosys     Published Date: May 30, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed. A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
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data, fortress, modernize, business, applications, telecom
    
Infosys
Published By: Zebra Technologies     Published Date: May 14, 2018
Surviving and thriving amid the global, digital shopping revolution, in which consumers fluidly browse and buy from their smartphones, computers and in store, calls for a supply-chain makeover. Pressed to offer consumers fast, flexible and even free product fulfillment and delivery in an omnichannel retail landscape, a crowdsourced, collaborative model is taking shape. Traditional roles are blurring as logistics companies, manufacturers and retailers work to meet the growing on-demand economy via the adoption of business intelligence supply chain technologies.
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mobile, shipping, manufacturing, warehouse, global, shopping, fulfillment
    
Zebra Technologies
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: Zebra Technologies     Published Date: May 02, 2018
By 2022, only 12 percent of warehouse operations will use pen and paper, according to a recent Zebra study. Why are manual processes vanishing? Because automation and connectivity enable the modern warehouse to stay compliant, deliver on time and ensure more overall customer satisfaction, every single time. You can create a more efficient, compliant and profitable warehouse. Learn how with our free eBook, 6 Steps to Flawless Fulfillment. You’ll discover actionable strategies to: Deploy industrial wireless solutions to optimize team productivity and workflow. Improve staff communications and management to maximize on-the-job efficiency and effectiveness. Streamline order picking processes to cut costs and save time. Create advanced inventory and storage capabilities to improve efficiency and accuracy. Upgrade inbound handling operations to process more shipments, more accurately. Turnaround outbound performance to deliver the ‘last mile’ in flawless fulfillment.
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warehouse, operations, zebra, study, automation, customer
    
Zebra Technologies
Published By: Sage Software (APAC)     Published Date: May 02, 2018
Factory Direct Fencing, Austraila’s largest family-owned manufacturer and distributor of fencing products, deploys Sage Business Cloud Enterprise Management to handle multi-warehouse management, radio frequency scanning and component manufacturing functionality. Sage Business Cloud Enterprise Management not only streamlines its processes and reduces duplication of data entry, it also ensures more reliable reporting and automates its key business processes.
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Sage Software (APAC)
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