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Category: Data Science


Data Science

How to choose a data analytics platform

July 13, 2020

Via: Info World

Whether you have responsibilities in software development, devops, systems, clouds, test automation, site reliability, leading scrum teams, infosec, or other information technology areas, you’ll have increasing opportunities and requirements to work with data, analytics, and machine learning. Your exposure to […]


Computing, Data Management, Data Science

Decision points in storage for artificial intelligence, machine learning and big data

July 8, 2020

Via: Computer Weekly

Data analytics has rarely been more newsworthy. Throughout the Covid-19 coronavirus pandemic, governments and bodies such as the World Health Organization (WHO) have produced a stream of statistics and mathematical models. Businesses have run models to test post-lockdown scenarios, planners […]


Data Science

Data-Driven Decision Making – Optimizing the Product Delivery Organization

April 20, 2020

Via: InfoQ

The Data-Driven Decision Making Series provides an overview of how the three main activities in software delivery – Product Management, Development and Operations – can be supported by data-driven decision making. It consists of several articles, each highlighting an area […]


Computing, Data Management, Data Science

Container storage 101: What is CSI and how does it work?

March 16, 2020

Via: Computer Weekly

Containers are sweeping the datacentre. They’re a lightweight method of virtualising applications and allow for rapid scaling and contain all that’s needed to run processes in a multitude of environments with few dependencies. But they need storage. And while containers […]


Computing, Data Management, Data Science

Cloud computing is even greener than we thought

February 18, 2020

Via: Info World

The idea that cloud computing is green really depends on whom you’re talking to. Some say data center growth is driven by those evil cloud providers. They build huge, ugly structures that consume more power and water than a small […]


Data Science

It’s not just Google: Amazon, Microsoft, IBM get hospital data, too

January 21, 2020

Via: Mashable

Big data has become big business in healthcare. The public freaked out in November 2019 at the Wall Street Journal’s revelations that Google was taking in non-anonymous healthcare information from hospital network Ascension. Now, a new report from the Journal […]


Data Science

Mitigating the risks of AI transparency in the next decade

January 2, 2020

Via: Info World

Enterprises are placing their highest hopes on ML (machine learning). However ML, which sits at the heart of AI (artificial intelligence), is also starting to unnerve many enterprise legal and security professionals. One of the biggest concerns around AI is […]


Data Science

Will data gravity favor the cloud or the edge?

October 24, 2019

Via: Info World

Applications are permeating the online economy. However, it’s not entirely clear whether their deployment is moving in a mainly centripetal or centrifugal direction—that is, whether they are gravitating to the cloud center or moving outward to the edge. Applications—in the […]


Data Science

Data integration platforms every developer should understand

October 3, 2019

Via: Info World

Working with large volumes of data is a lot like developing software. Both require a good understanding of what end-users need, knowledge of how to implement solutions, and agile practices to iterate and improve the results. Software development and data […]


Data Science

How data analysis in sports is changing the game

August 12, 2019

Via: Techradar

Who can forget when the unpredictable happened and Leicester City won the Premier League in 2016? Thanks are due, in part, to data and analytics. When it comes to data-driven insights in football, the club is one of the most […]


Data Science

Data intelligence: why Data Protection Day is becoming increasingly important

March 13, 2019

Via: Techradar

The problem with data, whether it’s a report, an email, a spreadsheet or any other file type, is that internal personnel have to deal with it, typically through the uses of multiple applications in different locations with no real control. […]


Data Science

How to validate data, analytics, and data visualizations

February 28, 2019

Via: Info World

Testing applications is a maturing discipline with tools that help quality assurance teams develop and automate functional tests, run load and performance tests, perform static code analysis, wrap APIs with unit tests, and validate applications against known security issues. Teams […]


Data Science

How to use Azure Data Explorer for large-scale data analysis

February 12, 2019

Via: Info World

One of the big issues facing anyone building a data-driven devops practice is, quite simply, the scale of the data you’re collecting. Logs from millions of users quickly add up, and the same is true of the internet of things […]


Data Science

How Modern is Your Data Environment, Really?

December 13, 2018

Via: Aberdeen

Broadly speaking, companies today fall into one of three levels of maturity when it comes to their data infrastructure: Primitive, standard, and high-performance. A primitive infrastructure has little or no dedicated management of the data, is mostly built on excel […]


Data Science

Big Data Trends in 2019

November 20, 2018

Via: DataVersity

The accessibility of data has provided a new generation of technology and has shifted the business focus towards data-driven decision making. Big Data Analytics is now an established part of gathering Business Intelligence. Many businesses, particularly those online, consider Big […]


Data Science

Accenture Forms Strategic Alliance and Invests in Data Analytics Firm Quantexa

November 9, 2018

Via: DataVersity

A recent press release reports, “Accenture has invested in and formed a strategic alliance with Quantexa, a leading data analytics firm that provides technology solutions to uncover new intelligence. The minority investment made by Accenture Ventures will help Quantexa accelerate […]


Data Science

Practicing Data Science

November 9, 2018

Via: DataVersity

There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at […]


Data Science

Data Modeling vs. Data Architecture

November 6, 2018

Via: DataVersity

In the second edition of the Data Management Book of Knowledge (DMBOK 2): “Data Architecture defines the blueprint for managing data assets by aligning with organizational strategy to establish strategic data requirements and designs to meet these requirements.” Another way […]


Data Science

Innovation in Data Management Accelerating Neuroscience, Virtual Reality

October 29, 2018

Via: DataVersity

A recent press release states, “Igneous’ cloud-native solution – consisting of Igneous DataDiscover, Igneous DataProtect and Igneous DataFlow – delivers superior data visibility, efficient data protection and automated data movement to data-centric organizations like Paige.AI, regardless of where datasets reside. […]


Data Science

Semantic Technologies, AI, and Big Data Working Together

October 25, 2018

Via: DataVersity

Data Scientists and Big Data Analysts can now access knowledge from around the world by using a new platform, called JoveEye. Its launch was announced by GTCOM (Global Tone Communication Technology Co., Ltd) in New York City. JoveEye is an […]