Word of the Day: Tech Definitions from WhatIs.com

June 12, 2017  2:42 PM

EU Data Protection Directive

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
GDPR, privacy

EU Data Protection Directive is a regulation adopted by the European Union to protect the privacy and protection of all personal data collected for or about citizens of the EU, especially as it relates to processing, using, or exchanging such data. Continued…

Quote of the Day

“All too often, people view personal data as just another piece of information that they are working with — a commodity. However, this data represents a real person and should therefore be respected.” – Elizabeth Maxwell

Learning Center
Risk & Repeat: GDPR compliance clock is ticking
This Risk & Repeat podcast examines the mounting pressure around GDPR compliance and the looming deadline approaching for enterprises.

EU GDPR compliance puts focus on data tracking, encryption
EU GDPR compliance calls for respecting the data, tracking the data down and keeping it encrypted, according to experts.

Q&A: GDPR compliance tips from CSPi’s Gary Southwell
With just one year left to go, companies need GDPR compliance in a hurry to avoid potentially massive penalties or lose access to EU markets.

GDPR and Trump changes will dominate storage and compliance in 2017
Vigitrust’s Mathieu Gorge looks forward to what 2017 has in store for legal and regulatory compliance, with milestones in the adoption of the General Data Protection Regulation and changes in the US under the Trump presidency.

New EU GDPR privacy regulation set to take effect in 2018
With EU GDPR approved and set to take effect in less than two years, firms face challenges, obstacles, especially with cloud compliance.

Trending Terms
privacy compliance
privacy policy
right to be forgotten
extrusion prevention
information governance

Writing for Business
Privacy watchdog organizations are concerned about the potential ______ of information when data is shared among organizations.
a. misuse
b. missuse

June 9, 2017  2:38 PM

human resources analytics (talent analytics)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
HR analytics

Human resources analytics, also called talent analytics, is the application of sophisticated data mining and business analytics (BA) techniques to human resources (HR) data. Continued…

Quote of the Day

“Analytics can be very successful in recruiting and hiring talented individuals, motivating and rewarding employees, and developing and retaining the best.” – Emilio J. Castilla

Learning Center
HR data analytics can lay the groundwork for workforce improvements
Executives can become more strategic and more successful at managing employees by using HR data analytics to make decisions about the workforce.

Companies are seeing a seismic shift in use of people analytics in HR
A report by Deloitte finds that people analytics in HR is going mainstream and being used by executives across a company.

HR data analytics is exploding in use and sparking change in business
Companies are finding that HR data analytics can help solve business problems, such as retaining top performers and predicting compliance violations.

Forrester stresses link between analytics in HR and business results
Analytics in HR is aimed at helping leaders understand workforce requirements and ensure that decisions on talent management are based on data.

Talent analytics plays a key role in motivating top performers
Learn how particular metrics available in talent analytics can help attract, retain and develop top-performing employees.

Trending Terms
data mining
business analytics
human capital management
employee engagement

Writing for Business
The message from human resources asked if she could come for an interview __________ next week.
a. someday
b. some day

June 8, 2017  8:59 PM

single sign-on (SSO)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
2FA, Single sign-on

Single sign-on (SSO) is a session and user authentication service that allows an end user to provide one set of login credentials (such as name and password) and be able to access multiple applications. Continued…

Quote of the Day

“With the centralized identity management systems included in many of today’s SSO platforms, IT departments can enforce security policies, manage users and oversee any subscriptions users have associated with their specific cloud accounts, all from one place.” – Reda Chouffani

Learning Center
Users’ SSO information at risk after OneLogin security breach
Following a OneLogin security breach, customers were alerted that their data was affected, but the company was stingy with the details of what happened.

Use single sign-on technology to integrate mobile app access
Single sign-on technology can help IT provide access to third-party apps for employees and to internal apps for customers or partners. And identity federation takes things one step further.

Benefits of single sign-on in healthcare
Medical professionals troubled by remembering passwords for different systems and applications would appreciate the benefits of single sign-on platforms.

Enterprise SSO: The promise and the challenges ahead
Enterprise SSO must now adapt to cloud-related services plus mobile employees. This technical tip explains what’s changed and how infosec pros can cope.

The best SSO for enterprises must be cloud and mobile capable
The best SSO for enterprise use must tackle the complexities that mobility and cloud services like identity as a service present.

Trending Terms
two-factor authentication
social login

Writing for Business
The credit union website uses two-factor authentication to protect _____ members.
a. their
b. its

June 7, 2017  8:05 PM

disaster recovery as a service (DRaaS)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Disaster Recovery, DRaaS

Disaster recovery as a service (DRaaS) is the replication and hosting of physical or virtual servers by a third party to provide failover in the event of a man-made or natural catastrophe. Continued…

Quote of the Day

“Generally, full-service DRaaS works well for SMBs. A software-only approach, with customers renting cloud space, is more economical for larger enterprises.” – Jim O’Reilly

Learning Center
Beware of hidden gotchas in DR-as-a-service options
The DR-as-a-service market is so competitive, and the available options so varied, that it can be tough for IT decision makers to make a selection.

A guide to a better cloud disaster recovery plan
A cloud disaster recovery plan allows organizations to cope with service interruptions while staying within their modest DR budgets.

Match disaster recovery as a service providers to business needs
When analyzing disaster recovery as a service providers, you should break your environment into multiple recovery groups to promote better performance.

Using a DRaaS provider could bring unexpected costs
Putting your data in the hands of a DRaaS provider is an appealing option, but it also comes with its own risks and costs.

Disaster recovery methods: Legacy DR vs. the cloud
Disaster recovery methods vary dramatically. Legacy DR may not cut it anymore. Following a TCO review, a shift to DRaaS could be in order.

Trending Terms
disaster recovery plan
backup as a service
recovery time objective
recovery point objective

Writing for Business
The point of disaster recovery is the same for both large enterprises and _________ need to stay in business.
a. SMBs: They
b. SMBs; they

June 6, 2017  3:55 PM

software asset management (SAM)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
COBIT, Compliance, Software licenses

Software asset management (SAM) is the administration of processes, policies and procedures that support the procurement, deployment, use, maintenance and disposal of software applications within an organization. Continued…

Quote of the Day

“SAM enables an organization to avoid the risks of being under licensed and forms the foundation for effective software license compliance. It also helps an organization to avoid being over licensed and enjoy the associated cost savings.” – Mike Fisher

Learning Center
IT asset management strategy: License compliance and beyond
In this Q&A on IT asset management strategy, read up on the risks of license compliance problems with software companies and how IoT will impact ITAM.

Asset management tools in the modern data center: Advisory Board Q&A
Asset management tools can be difficult to install and use, sometimes complicating data center asset management, according to our Advisory Board.

Recognizing the versatility of IT asset management software
IT asset management software is used to track more than just computer equipment inventories.

Hardware asset management: Tips for channel managers
Hardware asset management may be overlooked, but channel partner managers would do well to focus on this area; tips for getting started.

Software asset management maturity in the age of SaaS
For asset tracking, software as a service is no different from any other type of software licensing – but the process of software asset management needs adapting.

Trending Terms
enterprise asset management
virtual asset
software license
IT asset management
application lifecycle management

Writing for Business
An operating system (OS) is the ________ that, after being initially loaded into the computer by a boot program, manages all the other programs in a computer.
a. program
b. software
c. application

June 5, 2017  6:43 PM

edge analytics

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Edge analytics

Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store. Continued…

Quote of the Day

“The concept of edge analytics brings with it the possibility of designing an optimal model that provides the opportunity of managing the data transfer from the edge and data storage at data centers in an efficient way.” – Harsha Bagur

Learning Center
Future of HPE sits at the edge with IoT in a post-cloud world
After a year of mergers and acquisitions, the future of HPE relies on multicloud, edge computing and internet of things.

Challenges of IoT include big data, data analysis for enterprise
Increased network demands and a changing viewpoint from IT pros are a few challenges of IoT and big data in the enterprise.

IoT analytics should not be an afterthought
To maintain a competitive edge, enterprise architects need to implement IoT analytics, not consider it an afterthought.

IoT analytics guide: Understanding Internet of Things data
Understanding Internet of Things data requires organizations to assemble and effectively use data from multiple sources. Get tips for devising your IoT analytics strategy.

Emerging analytics tools challenge dominant big data philosophy
New analytics tools are displacing a primary big data philosophy and forcing enterprises to rethink what big data really means to their business.

Trending Terms
edge computing
smart data
fog computing
IoT gateway
big data analytics

Writing for Business
Although big data is getting bigger all the time, much of the data being collected ___ useless.
a. is
b. are

June 2, 2017  5:58 PM

The Paris Agreement

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Renewable energy

The Paris Agreement is an international treaty intended to reduce the emission of greenhouse gases. Continued…

Quote of the Day

“Since the Paris Agreement is basically a set of guidelines around greenhouse gas emissions with no legal force, each country can pick and choose what it does or doesn’t do.” – Clive Longbottom

Learning Center
How machine learning improves energy consumption
Machine learning stands to have an incredibly powerful opportunity to transform the way we globally produce and consume energy.

Green data centers: Identifying truly energy-efficient data centers
People increasingly perceive data centers as energy hogs, prompting technology vendors to position their products as sustainably made or “green.”

Energy-efficient Europe: How the datacentre sector is keeping it clean
The editors at our sister site, Computer Weekly, take a look at how the datacentre sector is responding to environmental concerns.

Green IT storage services guide: Evaluating storage options
This green IT storage services guide offers resources including tips, podcasts and FAQs that will help channel clients conserve energy and cut costs.

Data center metrics to gauge energy, cooling efficiency
The Greed Grid Performance Indicator (PI) complements existing approaches by combining PUE, IT thermal compliance and IT thermal resilience.

Trending Terms
greenhouse gas
Kyoto Protocol
greenhouse effect
renewable energy
carbon footprint
green data center
The Green Grid
green procurement
green cloud

Writing for Business
Our company is using Blockchain to document funding for ______ green initiatives.
a. its
b. it`s
c. its’

June 1, 2017  7:01 PM

association rules (in data mining)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
Association, Data Mining, Predictive Analytics

Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a relational database or other information repository. Continued…

Quote of the Day

“One of the core activities in the maturing data science process is the use of data mining and machine learning algorithms to develop predictive models that aim to forecast customer behavior and other future events.” – David Loshin

Learning Center
Three examples of machine learning methods and related algorithms
Classification, clustering and affinity analysis are three examples of machine learning methods driven by algorithms that automate the analytics process.

Introduction to data mining: Association analysis
This excerpt from Introduction to Data Mining offers a crash course on association analysis — an effective data mining technique.

5 data mining techniques for optimal results
Faulty data mining makes seeking of decisive information akin to finding a needle in a haystack. Here are some tips to tweak your data mining exercises.

Dealing with association analysis, unstructured data in ER processes
In this book excerpt, learn how association analysis and high-performance computing can aid entity resolution and information quality on social network data and other unstructured data types.

Comparing the leading big data analytics software options
Expert David Loshin examines nine leading vendors of big data analytics software and compares and contrasts the ways their tools help organizations meet their analytics needs.

Trending Terms
data mining
machine learning
decision tree software
ad-hoc analysis
predictive analytics

Writing for Business
Predictive models of climate change inspired a movement to ______ the situation.
a. diffuse
b. defuse

May 31, 2017  5:55 PM


Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

DevOps is the blending of tasks performed by a company’s application development and systems operations teams. Continued…

Visit our newest sister site, DevOpsAgenda.com, to learn more about DevOps!

Quote of the Day

“You’ll need leadership for DevOps to really work. Thankfully, because DevOps will improve the speed and quality of production and cut costs, your boss should be on board.” – Chris Tozzi

Learning Center
High-level DevOps leaders needed for DevOps to take root
Yes, DevOps needs grassroots support. But for it to succeed, high-level DevOps leaders must also get involved to push the culture change.

DevOps automation remains a high hurdle for DevOps culture
DevOps and automation experts weigh in on the discrepancy between DevOps culture and the nuts and bolts automated testing adoption.

What does soft-ripening French cheese have to do with DevOps QA?
What does soft-ripening French cheese have to do with DevOps? Well, even in a world of automation, QA will always need a little bit of that human touch.

DevOps vs. NoOps: Will automation give Ops the proverbial boot?
As more and more enterprises adopt and use automation in continuous development, NoOps, DevOps without the operations side, seems possible.

Doing DevOps? Turn your boss into a DevOps leader first
If you want to implement DevOps principles in your organization, you’ll need to engage executive and manager-level support. You’ll need DevOps leaders.

Trending Terms
quality assurance
continuous software development
DevOps certification
DevOps as a Service
configuration management

Writing for Business
Successfully _______ a DevOps culture in a data center isn’t easy, but it brings great rewards.
A. adapting
B. adopting

May 30, 2017  6:59 PM

phase-change memory (PCM)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert
DRAM, Flash memory, NAND Flash

Phase-change memory (PCM) is a form of computer RAM (random-access memory) that stores data by altering the state of the matter from which the device is fabricated. Continued…

Quote of the Day

“Phase-change memory holds out the promise of major advantages over DRAM and NAND flash.” – Carol Sliwa

Learning Center
Phase change memory technology: Where is it headed?
Phase change memory technology is here at last, but where it goes depends on the state of the flash market and whether PCM can live up to its own claims.

IBM claims breakthrough with TLC phase-change memory
IBM Research claims storage memory breakthrough; will phase-change memory beat Intel/Micron 3D XPoint as NAND successor?

Optane memory: Opening the window on Intel’s latest technology
Optane memory products are shipping, and they might have a meaningful effect on various IT uses, but maybe not as big an impact as was first proposed.

The state of flash storage systems
Vendors remain focused on improving flash storage systems, but the next step will be harder than adding flash to our normal system configurations.

NAND flash technology is just the beginning
NAND flash technology delivers a high level of performance at a high rate of speed, but storage vendors are developing products that will greatly expand solid state’s role.

Trending Terms
nonvolatile storage
flash memory
3D XPoint
NAND flash memory

Writing for Business
Servers equipped with flash storage are increasingly common and can _________ reduce latency.
A. farther
B. further

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