Word of the Day: Tech Definitions from WhatIs.com

July 13, 2018  5:07 PM

data scientist

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals. Continued…

Quote of the Day

“Beyond math skills, data scientists must be able to think creatively and develop context around the data in order to tell a story.” – Jason Cline

Learning Center
Building a data science team in today’s data-centric climate
It isn’t easy building a data science team in today’s data-centric world, in which machine learning and AI are hot. In a recent webinar, a Gartner analyst offered tips and recommendations on how to do it.

How a healthcare data scientist can aid in value-based care
The government wants providers to move from fee-for-service to value-based care. A healthcare data scientist can analyze patient data to improve outcomes.

Big data throws bias in machine learning data sets
Data bias in machine learning data sets is a big problem for AI, and correcting it is no small feat.

New data science platforms aim to be workflow, collaboration hubs
A group of rival workbench-style data science platforms offer users a centralized environment for managing advanced analytics projects involving teams of data scientists — and Oracle’s acquisition of startup DataScience.com brings another major IT vendor into the fold.

Two data scientists offer advice on breaking down siloed data
Two data scientists address the ever-present issue of siloed data and offer advice to IT leaders on how to deal with it.

Trending Terms
predictive modeling
data mining
data storytelling
relational database management system
data-driven decision management
data science as a service<

Quiz Yourself
The core components in the first iteration of this big data framework included MapReduce.
a. What is Hadoop?
b. What is Splunk?

July 12, 2018  4:58 PM

decision tree

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

A decision tree is a graph that uses a branching method to illustrate every possible outcome of a decision. Continued…

Quote of the Day

“As the business world continues to embrace analytics to sharpen decision-making, using intelligent business process management suites is becoming even more attractive.” – Christine Parizo

Learning Center
Ten steps to start using predictive analytics algorithms effectively
Here are 10 steps to help put a solid foundation in place for using predictive analytics algorithms that improve business processes and performance.

What sports can teach about data-driven decision-making process
Businesses have a lot to learn from sports teams when it comes to the data-driven decision-making process, says one MIT lecturer.

Choosing the right data discovery platform for the enterprise
Visualizations, IT management, data sources and compliance features are just some considerations for businesses in the market for data discovery tools. Ultimately, business goals determine the best data discovery platform, so it’s vital that the features deliver.

Becoming a data-driven enterprise requires art, science
A data-driven enterprise doesn’t have to turn all of its decisions over to algorithms. One business makes room for art, as well as science in its process.

Clearing the roadblocks to predictive business analytics adoption
Despite the benefits of predictive business analytics, adoption is still low due to people, processes and technology.

Trending Terms
decision tree software
business process management
decision management
decision support system
backpropagation algorithm
predictive analytics

Quiz Yourself
What do data scientists call data that cannot be understood and interpreted correctly by machines?
a. dense data
b. noisy data

July 11, 2018  2:10 AM

self-service business intelligence (BI)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate data even though they do not have a background in statistical analysis, business intelligence (BI) or data mining. Continued…

Quote of the Day

“The trend of self-service BI has opened up new opportunities for companies to gain value from data more quickly, because it takes IT out of the picture, which reduces delays.” – Bob Violino

Learning Center
Tableau acquisition of MIT AI startup aims at smarter BI software
The Tableau acquisition of Empirical Systems, an AI startup, is intended to provide Tableau users with more automated modeling of their data and enable broader use of the self-service BI and analytics software.

Understanding data discovery tools in the enterprise
Learn all about data discovery tools and the data discovery process, which pull insights from data and ultimately serve informed business decisions.

Self-service BI best practices: 5 dos and don’ts
In this SearchCIO video, Wayfair’s Nathan Kollett enumerates the dos and don’t’s that make up self-service BI best practices.

Evolving data integration strategies target new analytics needs
As companies expand their use of BI and analytics applications, well-planned data integration strategies become a more crucial component. Get advice on how to manage data integration efforts to support the analytics process more effectively.

Self-service BI software comparison: Tableau vs. Power BI, Qlik Sense
The self-service BI software market is crowded, but it’s sorting itself out. This chart can help you understand the differences between the leading players.

Trending Terms
data analytics
statistical analysis
data mining
data warehouse
embedded BI
data governance

Quiz Yourself
This describes a data source that’s not used on a regular basis.
1. What is desultory data?
2. What is alternative data?

July 10, 2018  2:15 AM

alternative data

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

Alternative data is information gathered from non-traditional information sources. Analysis of alternative data can provide insights beyond that which an industry’s regular data sources are capable of providing. Continued…

Quote of the Day

“Businesses looking to get real value out of big data, and avoid overwhelming their systems, need to be selective about what they analyze.” – Ed Burns

Learning Center
A look at the leading data discovery software and vendors
Data discovery software helps enterprises turn data into business insights. Through data visualizations, these tools reveal patterns and relevant items from both internal and external sources. In addition, these tools often function without explicit IT involvement through self-service BI features.

Exploring Hadoop distributions for managing big data
Hadoop distributions have created a new software market that’s transforming the big data information intelligence and analytics industry.

Big data challenges include what info to use — and what not to
For organizations faced with big data challenges, it helps to be selective about the info you analyze.

Capital One’s use cases for implementing microservices
At API World 2017, Capital One discusses its use case scenarios for implementing microservices and microservices architecture.

New cloud service uses big data sources to improve emergency response
A new cloud service from Swan Island Networks allows cities to tie information together from multiple big data sources to improve emergency response.

Trending Terms
data-driven decision management
precision agriculture
alternate data stream
structured data
semi-structured data
unstructured data

Quiz Yourself
What type of statistical analysis uses a representative subset of data points to identify patterns and trends in a larger data set?
a. data sampling
b. data sipping

July 9, 2018  1:31 AM

slice and dice

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

To slice and dice is to break a body of information down into smaller parts or to examine it from different viewpoints so that you can understand it better. Continued…

Quote of the Day

“PivotTables are extremely flexible and allow the user to slice and dice data in many, many useful ways.” – Craig Hatmaker

Learning Center
Airbnb, Univision highlight best practices in BI
Some of the best practices in BI were highlighted at the 2018 Real BI Conference by Theresa Johnson of Airbnb and Simone Knight of Univision Communications.

Improving population health goal of data analytics research
A Reno-based hospital and research institute are collaborating to study genetic, medical, environmental and demographic data. The expectation is that data analysis of these combined factors will identify trends that will lead to improving population health in Nevada.

‘Big data’ poses big challenges for traditional analytics approaches
Learn how technologies such as massively parallel processing (MPP) systems, in-database analytics, columnar databases and Hadoop are providing new ways to perform analytics on big data.

Communication skills a must for business intelligence professionals
Organizations are looking for business intelligence professionals who understand the business and have good communication skills, says careers expert Matt Mueller. Find out why.

HR analytics early adopters say meaningful metrics, narratives are key
At an HCI conference, HR leaders said identifying meaningful metrics and constructing data narratives were keys to success in HR analytics initiatives.

Trending Terms
pivot table
dimension table
star schema
fast data
drill down

Quiz Yourself
What do you call a BI process that’s designed to answer a single, specific business question?
a. ad hoc analysis
b. unitary analysis

July 3, 2018  1:23 AM

threat hunter (cybersecurity threat analyst)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

A threat hunter, also called a cybersecurity threat analyst, is a security professional or managed service provider (MSP) that proactively uses manual or machine-assisted techniques to detect security incidents that may elude the grasp of automated systems. Continued…

Quote of the Day

“A threat hunter needs to be able to put his or her mind to the task of uncovering vulnerabilities that are specific to the organization, and may or may not be highly sophisticated.” – Johna Till Johnson

Learning Center
Threat hunting technology is on the rise, so are threats
More companies are adopting threat hunting tools and platforms, according to the Crowd Research Partners ‘2018 Threat Hunting Report.’ Detecting emerging and advanced threats remains the top challenge for security operations centers.

‘Threat hunting’ emerges as new enterprise security role
The threat hunter, an emerging category of IT security pros, aims to detect incidents that technology overlooks, bolstering security operations centers.

Threat hunting defined: What you need to know about this emerging area
Threat hunting, an emerging program within enterprise IT security groups, seeks to augment and improve automated security systems.

Is threat hunting the next step for modern SOCs?
The best threat hunters use threat intelligence, custom tools or threat hunting products to identify APTs and automate searches on an ongoing basis.

Report: Threat hunting is more SOC than intel
Early threat hunting is primarily SOC-driven. Despite the immaturity of some programs, 60% of those surveyed cited measurable security improvements.

Trending Terms
advanced persistent threat
network behavior anomaly detection
incident response
enterprise security governance

Writing for Business
Most major security breaches ____________ human error.
a. can be attributed to
b. are due to

July 2, 2018  3:57 AM

CISO (chief information security officer)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

The CISO (chief information security officer) is a senior-level executive responsible for developing and implementing an information security program, which includes procedures and policies designed to protect enterprise communications, systems and assets from both internal and external threats. Continued…

Quote of the Day

“Security professionals are feeling the effects of today’s fast pace of change as they contend with constantly evolving privacy and security regulations, technologies and business strategies.” – Mary K. Pratt

Learning Center
Herjavec: Cybersecurity investment now a priority for CEOs, boards
Looming regulations, changing consumer expectations and expanding threats are forcing company leaders to pay closer attention to data protection. Robert Herjavec, CEO of the Herjavec Group and star of NBC’s ‘Shark Tank,’ explains how the trends have changed the C-suite’s view of cybersecurity investment.

Accenture’s Tammy Moskites explains how the CISO position is changing
Speaking at RSA Conference 2018, Accenture’s Tammy Moskites discussed her views on how the CISO position is changing and the continuing challenges CISOs face.

Identify gaps in cybersecurity processes to reduce organizational risk
Cyberthreats continue to plague modern organizations, but identifying and mitigating gaps in data protection processes can go a long way to reducing organizational risk. Learn expert advice about how to close those gaps in this feature.

CISO survey paints a grim picture: Weak staff, breach fears
A CISO survey shows 67% of respondents are worried that their company is more likely to suffer a data breach or cyberattack this year.

CISO soft skills in demand as position evolves into leadership role
In this Q&A, hear from cybersecurity industry veteran Joan Pepin why CISO soft skills have become essential as security executives are increasingly asked to take on leadership roles.

Trending Terms
security event
operational risk
security awareness training
data privacy

Writing for Business
Today’s CISO needs interpersonal skills in order to _________ others in the boardroom to support their cybersecurity vision.
A. convince
B. persuade

June 29, 2018  3:44 AM

private PaaS (private platform as a service)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

Private PaaS (private platform as a service) is software that facilitates development, deployment and operations for IT on a private infrastructure or behind a firewall. Continued…

Quote of the Day

“PaaS, no matter if it’s private or public, provides basic development, deployment and operations capabilities that support the design, coding, testing and management of cloud-based systems.” – David Linthicum

Learning Center
Private PaaS offerings: Benefits, challenges, best practices and more
Learn how private Platform as a Service (PaaS) offerings can help address security and governance concerns, empower mobile workers, and improve the overall cloud experience.

Cloud Foundry BOSH could be your ticket to a private PaaS
Cloud Foundry BOSH helps IT operations streamline infrastructure deployment and management, but internal PaaS is still a big change.

Look beyond public cloud giants for the right PaaS offering
Choosing the right PaaS offering is no easy task, and some dev teams stop the search after AWS, Azure or Google. But there are other solid options to consider.

Test your knowledge of PaaS providers with this brief quiz
As the cloud market continues to grow, it can be tough to keep track of PaaS providers and the various tools they offer. Take this quick quiz to see how much you know about vendors such as AWS, Azure, Google and more.

To choose the right PaaS stack, know thyself
A PaaS stack makes building cloud-native applications and using cloud services easier. What isn’t simple is choosing the right PaaS vendor to do so.

Trending Terms
hybrid cloud
cloud application
shadow IT
Cloud Foundry
cloud services

Writing for Business
Instead of choosing _______ Dropbox, Google Drive and iCloud, people often use more than one cloud storage service.
a. between
b. among

June 28, 2018  3:48 AM

cloud integration

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

Cloud integration is the process of configuring multiple application programs to share data in the cloud. Continued…

Quote of the Day

“As middleware is subsumed into cloud services, developers will benefit from the automation, scalability, agility and ease of use inherent in cloud development and integration tools.” – Stephanos Bacon

Learning Center
Cloud-based integration platforms underpin digital strategy
The application integration market is dominated by IBM and Oracle, but AWS and Salesforce are changing the game with integration platforms as a service.

Cloud application performance hinges on a solid testing plan
With the underlying hardware out of their reach, dev teams face a challenge when it comes to ensuring cloud application performance. Learn how quality control testing and related tools can help.

Pros and cons of SAP Cloud Platform integration tools
SAP Cloud Platform integration options are numerous for both cloud-to-on-premises and cloud-to-cloud integration. But, sometimes, third-party tools are the better choice. Here’s a rundown of the pluses and minuses.

Cloud computing technology for 2018: Transform or die
Cloud computing technology is the first generational shift in IT since client/server. Oracle keynoters suggest combining technical paths, while understanding users’ needs.

App integration remains a hurdle in adopting SaaS technology
SaaS technology offers a fast path to implementing applications, but an integration strategy is needed to join those apps into a complete system.

Trending Terms
integration platform as a service
cloud integration platform
application migration
cloud management platform
cloud aggregator

Writing for Business
Brokers must work closely with cloud providers, while also _________ their services to appeal to customers.
A. distinguishing
B. differentiating

June 27, 2018  3:32 AM

native cloud application (NCA)

Kaitlin Herbert Kaitlin Herbert Profile: Kaitlin Herbert

A native cloud application (NCA) is a program that is designed specifically for a cloud computing architecture and to take advantage of loosely-coupled cloud services. Continued…

Quote of the Day

“Rather than building around in-house servers, databases, connections and the like, cloud-native application development relies on services that abstract away the hardware and the maintenance so developers can focus on what actually matters: the product.” – Zachary Flower

Learning Center
Emerging PaaS model puts cloud app dev into the fast lane
As enterprises seek to build and deploy cloud applications more quickly, they’ll benefit from an emerging PaaS model that emphasizes high-productivity, citizen developers and the no-code/low-code trend.

Three ways to ensure app portability in a multi-cloud strategy
For many enterprises, app portability is the end goal of implementing a multi-cloud strategy. And while the use of cloud providers’ native services can make this portability more difficult to achieve, there are ways to work around it.

What to know about cloud-native application development
Cloud-native application development takes care of the how in app development; API-first development gives you the tools to answer the where and why.

How cloud-native application development affects VDI
Cloud-native application development is sparking change in the world of desktops, including Windows and virtual desktops.

Four options to manage stateful apps in the cloud
A number of factors complicate the management of stateful apps in cloud computing. Review four ways, ranging from load balancing to orchestration, to overcome these challenges.

Trending Terms
cloud services
native app
cloud IDE
mobile cloud applications
cloud application performance management

Writing for Business
I prefer native apps ___ Web apps because they’re customized for my smartphone.
a. than
b. to

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