Blog – Big Data Topics


Digital Directorship

Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The term “big data” often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data.

Challenges include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy.  What you do with big data is key to increasing revenue and profitability.


  • 4 Traditional Industries Reshaped by Big Data and Analytics
    Changes Expected from Tech Companies

    Big data has become more popular in 2018. Whether structured or unstructured, big data is made up of large datasets that can be mined for more information. Given that traditional industries are being disrupted, there is no escaping the impact of big data across the board.

  • 5 Innovative Ways Small Companies Can Collect Big Data

    5 Innovative Ways Small Companies Can Collect Big Data S mall businesses might feel like they’re in a boat without a paddle when trying to tackle the challenges of collecting and analyzing big data. Take a deep breath. You’re not being left behind by the Fortune 500s, even if their IT budget is bigger.

  • What’s big for big data for 2018

    2018 will unleash a major disruption for the analytics and data management space. It will upend decades worth of accepted practices and introduce new winners and losers. At the center of the storm is the public cloud and the many implications it will have for big data.

  • Big Data Meets Data Fabric and Multi-cloud

    Two-thirds of all large enterprise IT organizations now see hybrid clouds—which are really multi-clouds—as their long-term IT future. – John Webster , Industry analyst focused on cloud, storage technologies and AI

  • Cloud and big data analytics

    The ITWeb Cloud Summit is in its second year in the current format, and brings you more than ever before in experts, content, case studies, and relevant local insight.

  • Deploy Watson Conversation Chatbots to WordPress

    If you’re reading this then you’ve most likely heard all the buzz around chatbots. In fact, you may have come up with a few scenarios where it would be really helpful for you to use one.

  • How big data can drive smart customer service

    Big data is now an integral part of all business domains, and the customer service industry is no exception. This is one area where the impacts are direct, measurable and clearly visible.

  • Affordable Performance and Scalability with AWS Big Data Solutions

    Achieving an affordable database solution that is both scalable and performant has always been a challenge, but Amazon has put scalability and performance within the reach of all sizes of business with their NoSQL solutions that have grown out of their Dynamo based big data systems.

  • Cloud based Analytics to the Rescue

    This guide brings together a range of stories that highlight examples of how to use big data, management techniques, trends with the technology, and key terms developers need to know.

  • What is big data?

    What is big data? Big data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information.

  • How to Use Big Data: Overview

    This guide brings together a range of stories that highlight examples of how to use big data, management techniques, trends with the technology, and key terms developers need to know.

  • The Era of Blind Faith in Big Data Must End

    Algorithms decide who gets a loan, who gets a job interview, who gets insurance and much more — but they don’t automatically make things fair. Mathematician and data scientist Cathy O’Neil coined a term for algorithms that are secret, important and harmful: “weapons of math destruction.”

  • What do we do with all this Big Data?

    What do we do with all this Big Data? Does a set of data make you feel more comfortable? More successful? Then your interpretation of it is likely wrong. In a surprisingly moving talk, Susan Etlinger explains why, as we receive more and more data, we need to deepen our critical thinking skills.

  • Big Data: The Management Revolution

    There’s much wisdom in that saying, which has been attributed to both W. Edwards Deming and Peter Drucker, and it explains why the recent explosion of digital data is so important.


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