• New Formstack Report Finds Only 18% of People Understand “No-Code”

    Formstack, a no-code workplace productivity platform, released its inaugural report on “The Rise of the No-Code Economy.” The report highlights proprietary data from the company’s 2021 No-Code Economy Survey showing that despite massive growth in the no-code space since the start of 2021, no-code adoption and awareness is still relatively limited to the developer and tech community.

Featured Stories

  • 3 Reasons a Cloud Data Warehouse Is Critical To Customer Analysis

    In this contributed article, Jeremy Levy, CEO and Co-Founder of Indicative, outlines where a cloud data warehouse (CDW) comes into play. A CDW acts as the single source of truth for a company’s data, allowing all teams within the business to analyze and act on the same information. Here’s why a CDW is essential to any foray into customer analysis.

  • The Integral Role AI Plays in Intelligent Automation

    In this special guest feature, Tony Higgins, CTO at Blueprint Software Systems, discusses the integral role AI plays in intelligent automation and the level of growth intelligent automation (which combines AI and RPA) is likely to see in 2021. Increasingly, AI and machine learning will be implemented to augment RPA-enabled digital workers, enabling employees to focus on more meaningful, high-value work.

  • “Above the Trend Line” – Your Industry Rumor Central for 4/16/2021

    Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Featured Resource

Interview: Global Technology Leader PNY

The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.

All Recent News

Industry Perspectives

  • Consumption-derived Data Governance is Difficult to Flank

    In this special guest feature, Doug Wick, Vice President of Product at ALTR, believes that data consumption governance, implemented at the query level to observe and control consumption of sensitive data, could help organizations to take full advantage of the cloud while reducing the associated risks.

  • How HR Specialists Can Use AI to Support their Remote Workforce During Lockdowns

    In this special guest feature, Ricardo Michel Reyes, CTO and co-founder at Erudit A.I., believes that with work-from-home presenting unprecedented difficulties for the HR profession, AI can help lift the burden in a number of ways. Using AI can give HR specialists a crucial tool in supporting their remote workforce – one that is often preferred by employees.

RSS Featured from insideHPC

  • The Linux Foundation Launches Research Division to Explore Open Source Ecosystems and Impact
    The Linux Foundation has announced a research arm whose mission is to broaden understanding of open source projects, ecosystem dynamics and impact, the organization said. “Through a series of research projects and related content, Linux Foundation Research will leverage the Linux Foundation’s vast repository of data, tools, and communities across industry verticals and technology horizontals. The […]

Editor’s Choice

  • Big Data Industry Predictions for 2021

    2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.

  • Hats Over Hearts

    It is with great sadness that we announce the death of Rich Brueckner. His passing is an unexpected and enormous blow to both his family and the HPC Community. Rich was an institution in the HPC community. You couldn’t go to an event without seeing his red hat bobbing in the crowd, usually trailed by a fast-moving video crew. He’d be darting into booths, conducting interviews, and then speeding away to his next appointment.

  • What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

    In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.

  • The Difference Between Data Science and Data Analytics

    In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business.

  • Our friends over at DataCamp have produced the “Become a Data Scientist in 8 Steps” infographic providing a view of the eight steps that you need to to through to learn data science. Some of these eight steps will be easier for some than for others, depending on background and personal experience, among other factors.

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