The cloud develops alongside ingenuity: How cloud is essential to underpin new technologies

The Internet needed a means to maximise its potential – and the solution would need to be highly adaptable and accepting of a wide variety of technology. Cloud computing has evolved with the information age.

The evolution of applications for cloud computing: A history

The Allied Telecom Group describes cloud computing as an interconnected network of remote servers; specifically, Internet-host servers that process and manage information, as well...

By Rick Delgado, 13 March 2018, 0 comments. Categories: Best Practice, Big Data, Data & Analytics, Platform.

Is your infrastructure prepared for the new era of AI?

Many have lauded the latest phone from Google, the Pixel 2, applauding its ability to showcase the emerging capabilities of artificial intelligence. Not only does the virtual assistant sound more human than other competitors’ technologies, but it also does a better job of understanding commands and questions.

Still, there’s a 

By Robert van der Meulen, 23 February 2018, 0 comments. Categories: Applications, Big Data, Data & Analytics, Infrastructure, Software.

How hybrid IT demand fuels the multi-cloud computing trend

Guided by senior executive goals for digital transformation, more organizations are increasing their use of cloud computing technologies. The typical multi-cloud mix includes a blend of public cloud, private cloud and traditional IT services. Finding the best-fit service mix starts with the business requirements.

The latest Global Cloud Index (GCI) 2016-2021 from Cisco focuses on the worldwide market outlook for enterprise data...

By David H Deans, 13 February 2018, 0 comments. Categories: Big Data, CIO, Data & Analytics, Hybrid, Infrastructure.

Why data scientist is the best job in America - according to Glassdoor

  • Data scientist has been named the best job in America for three years running, with a median base salary of $110,000 and 4,524 job openings.
  • DevOps engineer is the second-best job in 2018, paying a median base salary of $105,000 and 3,369 job openings.
  • There are 29,187 software engineering jobs available today, making this job the most popular regarding Glassdoor postings according to the study.

These and many other fascinating insights are from Glassdoor’s 50 Best Jobs In...

By Louis Columbus, 06 February 2018, 0 comments. Categories: Big Data, Data & Analytics, Data Management.

How analytics will revolutionise supply chains in 2018

  • While 94% of supply chain leaders say that digital transformation will fundamentally change supply chains in 2018, only 44% have a strategy ready.
  • 66% of supply chain leaders say advanced supply chain analytics are critically important to their supply chain operations in the next 2 to 3 years.
  • Forecast accuracy, demand patterns, product tracking traceability, transportation performance and analysis of product returns are use cases where analytics can close knowledge gaps.

These and other insights are from 

By Louis Columbus, 01 February 2018, 0 comments. Categories: Big Data, Data & Analytics, Software.

Why more than half of companies are now making serious investments in big data analytics

  • Big data adoption reached 53% in 2017 for all companies interviewed, up from 17% in 2015, with telecom and financial services leading early adopters.
  • Reporting, dashboards, advanced visualization end-user “self-service” and data warehousing are the top five technologies and initiatives strategic to business intelligence.
  • Data warehouse optimization remains the top use case for big data, followed by customer/social analysis and predictive maintenance.
  • Among big data distributions, Cloudera is the most popular, followed by Hortonworks, MAP/R, and Amazon...

By Louis Columbus, 05 January 2018, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Enterprise.

AWS takes a musical approach at re:Invent with machine learning, serverless and IoT key

More than 20 announcements flowed at AWS re:Invent today, including updates on machine learning, databases and the Internet of Things (IoT) – not to mention a couple of big-name customer wins.

The theme for Amazon Web Services CEO Andy Jassy was around builders. Unlike the previous year’s keynote, where it was about superpowers, this presentation had a slightly more mundane – and musical – approach.

Technology builders are like musicians, Jassy explained. Some guitarists may play...

By James Bourne, 29 November 2017, 0 comments. Categories: Amazon, Big Data, Infrastructure, Software.

Meg Whitman to step down as HPE chief exec: Analysing the company’s fortunes

Meg Whitman is to step down as CEO of Hewlett Packard Enterprise (HPE), bringing down the curtain on a six-year tenure and overseeing one of the largest corporate breakups of recent years.

Whitman had in July stepped down as chairwoman of HP’s board of directors, remaining chief executive of HPE, and had previously faced speculation about her role as the chief executive’s seat at Uber dramatically became available earlier this year.

Whitman’s replacement will be HPE president Antonio Neri, a 22-year HP...

By James Bourne, 22 November 2017, 0 comments. Categories: Big Data, Economy, Infrastructure, Vendors.

Cloud Analytics Academy aims to give companies extra BI and data warehousing expertise

Say hello to the Cloud Analytics Academy. The program, launched today by Snowflake Computing alongside Amazon Web Services (AWS), Looker, Talend and WhereScape, aims to help executives lead their organisations in data warehousing, BI, and more.

The curriculum is designed by Kent Graziano, Snowflake chief technical evangelist, with the partnering companies chipping in with their expertise.

There are three courses; the ‘executive fast track’ is the one-size-fits-all course with five sessions on key...

By James Bourne, 16 November 2017, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Developers.

How to create a software engineering approach to big data analytics

Big data analysis can provide continuous business intelligence to managers, enabling sophisticated monitoring of current activities, and helping them to make smarter, faster decisions based on fact data and hidden trends and patterns. But while managers may think it’s cool, rushing to implement “a big data analytics” program can get you into trouble.  There are many architectures, tools, and algorithms to sort through, and you’ll need to manage stakeholder expectations. Software...

By Phil Laplante, 08 November 2017, 0 comments. Categories: Big Data, Data & Analytics, Developers, Software.