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data engineering

Results 1 - 25 of 31Sort Results By: Published Date | Title | Company Name
Published By: Zpas     Published Date: Apr 18, 2017
The most important factors that determine the correct operation of modern automation, electronics, industrial computers and other devices are the correct power supply and the appropriate climatic conditions. These are necessary to ensure ongoing operation of priority infrastructure equipment – server room, data communication, power engineering.
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power, datacenter, server, zpas_uk
    
Zpas
Published By: Commscope NL     Published Date: Nov 29, 2016
This white paper addresses some pain points for data center managers: > Uncertainty about future technologies > Complexity of the network > Scale/upgrade without disruption > Lack of engineering guidelines
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commscopenl, data center
    
Commscope NL
Published By: Commscope     Published Date: Nov 29, 2016
This white paper addresses some pain points for data center managers: > Uncertainty about future technologies > Complexity of the network > Scale/upgrade without disruption > Lack of engineering guidelines
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commscope dach, data center
    
Commscope
Published By: AWS     Published Date: Oct 07, 2019
Hear from speakers: Danielle Greshock, Sr. Manager, Amazon Web Services, Inc. (AWS) Vincent Lam, Head of Cloud Product Marketing, Talend Andy McPhee, Data & Analytics Engineering Director, AstraZeneca
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AWS
Published By: Alert Logic     Published Date: Aug 25, 2014
The Security Operations Center (SOC) is where security data is transformed into an effective response to attacks. From investigating threats and scanning for vulnerabilities, to reverse-engineering malware and developing new security content to identify the latest threats, the SOC is a critical piece of the security puzzle. Learn how Alert Logic’s SOC operates to protect IT infrastructure from on-premises data centers to the cloud.
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Alert Logic
Published By: MalwareBytes EMEA     Published Date: May 10, 2019
Enterprises, beware. Threat actors are continuing to eye businesses for high returns on investment in Q1 2019, breaching infrastructure, exfiltrating or holding data hostage, and abusing weak credentials for continued, targeted monitoring. From a steadfast increase of pervasive Trojans, such as Emotet, to a resurgence of ransomware lodged against corporate targets, cybercriminals are going after organizations with a vengeance. Yet every cloud has a silver lining, and for all the additional effort thrown at businesses, consumer threats are now on the decline. Ransomware against consumers has slowed down to a trickle and cryptomining, at a fever pitch against consumers this time last year, has all but died. Interestingly, this has resulted in an overall decline in the volume of malware detections from Q4 2018 to Q1 2019. While threat actors made themselves busy with challenging new victims, they ensnared targets in the old ways, using tried-and-true malspam and social engineering tactic
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MalwareBytes EMEA
Published By: Pindrop Security     Published Date: Apr 26, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: Pindrop Security     Published Date: Apr 26, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: Intapp     Published Date: May 10, 2019
The Cornerstone of Financial Control Time equals money. Time plus data equals control. All professionals, whether in management, consulting, engineering, or accounting, must be confident that their value is reflected in their bottom line. One of the primary factors driving that compensation is the amount of time spent on a particular subject or client. But too often front line earners at those firms don’t provide the clean, data-rich timesheets needed to accurately gauge the effort required by each project.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
Published By: Pure Storage     Published Date: Nov 02, 2017
In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.
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big data analytics, genomics, medicine, digital science, engineering, design, software, development, next-generation
    
Pure Storage
Published By: Dassault Systèmes     Published Date: Apr 24, 2019
How a Cloud-Based Data Platform Drives Digital Transformation in Engineering
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This spotlight report examines: • How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey. • Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain. • A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories. The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
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Dassault Systèmes
Published By: Pindrop Security     Published Date: Mar 21, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: CyrusOne     Published Date: Jul 05, 2016
In June 2016, CyrusOne completed the Sterling II data center at its Northern Virginia campus. A custom facility featuring 220,000 square feet of space and 30 MW of power, Sterling II was built from the ground up and completed in only six months, shattering all previous data center construction records. The Sterling II facility represents a new standard in the building of enterpriselevel data centers, and confirms that CyrusOne can use the streamlined engineering elements and methods used to build Sterling II to build customized, quality data centers anywhere in the continental United States, with a similarly rapid time to completion.
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cyrusone, data, technology, productivity, engineering
    
CyrusOne
Published By: Tripp Lite     Published Date: May 15, 2018
As organizations pursue improvements in reliability and energy efficiency, power design in data centers gets substantial attention—particularly from facilities and engineering personnel. At the same time, however, many IT professionals tend to spend little time or energy on the specific products they use to deliver and distribute electrical power. In?rack power is often considered less strategically important than which servers or databases to deploy, and it is often one of the last decisions to be made in the overall design of the data center. But choosing the right in-rack power solutions can save organizations from potentially crippling downtime and deliver significant up-front and ongoing savings through improved IT efficiency and data center infrastructure management.
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Tripp Lite
Published By: HP Data Center     Published Date: Feb 18, 2009
The recent release of the Environmental Protection Agency (EPA) study on data center energy efficiency is adding fuel to the fire in the research and development of new ways to reduce energy use in centers. The findings, summarized on the EPA website, are staggering: Data centers consumed about 60 billion kilowatt-hours (kWh) in 2006, roughly 1.5 percent of total US electricity consumption -Energy consumption of servers and data centers has doubled in the past five years and is expected to almost double again in the next five years to more than 100 billion kWh, costing about $7.4 billion annually.
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green data centers, epa, hp data center, energy consumption, server rack consumption, environmental protection agency, digital power, leed rating system, green grid, engineering economic principles, it hardware productivity, efficient site infrastructure, cooling, voc, co2 emissions, operational continuity, lifecycle cost, environmental impact, it effectiveness, power usage effectiveness
    
HP Data Center
Published By: AWS     Published Date: Jul 24, 2019
Reduce costs and scale to meet customer expectations Software-as-a-service (SaaS) delivery models are being adopted faster than ever to meet business and consumer demand, prompting organizations to move their customer-facing applications to the cloud. As a result, Independent Software Vendors (ISVs) need to modernize their applications to deliver the flexibility and scale customers expect, without the restrictions and high costs of running applications on commercial databases. mLogica provides deep industry expertise, backed by powerful engineering, to help ISVs quickly modernize their applications on Amazon Aurora and drive greater business value with Amazon Web Services (AWS). Register for our webinar to learn how mLogica and AWS can help you transform your business on the cloud, so you can deliver modern, high-performing solutions to your customers.
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AWS
Published By: SAP     Published Date: Jan 21, 2010
The goal of this article will be to contribute to the emerging dialog on the subject of business value by extrapolating from BI lessons learned and from DecisionPath Consultings experience working with Fortune 1000 customers and Government agencies.
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sap, business intelligence, data warehousing, enterprise application, erp, scm, crm, manufacturing, process engineering, readiness assessment, roi analysis, business value delivery
    
SAP
Published By: GlobalSCAPE     Published Date: Jan 08, 2008
In 2005, O’Hare International Airport began a project to relocate and modernize a 2.1 million ft.2 runway. Five independent firms worked on the project design with the IT/data management led by Milhouse Engineering and Construction, Inc.  Milhouse implemented GlobalSCAPE WAFS which mirrors critical files to all sites. This provided fast local access to all project files automatically without any administrative burden and with no delays.
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globalscape, wide area networks
    
GlobalSCAPE
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
This paper outlines some of the important considerations for encrypting data on tape, and is intended to help IT administrators make the right decision for their environment and their company's data security needs.
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library, data backup, reduce backup costs, deliver roi, retain data long term, back up virtual servers, secure your stored data, data deduplication and replication, symantec openstorage technology (ost), energy-effcient technology, media and entertainment, broadcast, postproduction
    
Quantum - Quinstreet
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