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      Overhauling Apache Kylin for the cloud

      pubsub.slavino.sk / infoworldcom · Thursday, 18 November, 2021 - 18:00 edit

    Recently, the Apache Kylin community released a major update with the general availability of Kylin 4. Kylin 4 continues the mission to provide a unified, high-performance, cloud-friendly, open source OLAP (online analytical processing) platform. Kylin 4 upgrades the Kylin architecture to make it easy to deploy and scale in the cloud. The new release features three major platform updates and myriad other improvements.

    First, Kylin 4 replaces its previous HBase storage engine with Apache Parquet, making it possible to decouple compute and storage for unlimited independent scalability. Second, Kylin 4 unifies the compute engine and removes any previous dependencies on the Hadoop ecosystem. This makes resource allocation much more flexible, resulting in a significant reduction in total cloud resource usage and associated costs. Third, by introducing a brand new, fully distributed query engine, Kylin 4 makes cubing duration and query latency much more performant compared to previous releases.

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    Značky: #SQL, #Analytics, #Rozne, #Database

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      The high cost of data science toil

      pubsub.slavino.sk / infoworldcom · Thursday, 28 October, 2021 - 10:00 edit

    Data science will scale in your enterprise. AI solutions will be built. It’s not a matter of if, only how. And scaling in the wrong way can introduce significant inefficiencies leading to delayed ROI or outright failure of transformation initiatives.

    While leaders figure out how to scale data science, the gap between successful scalers and laggards continues to widen. According to the McKinsey & Company Global AI Survey , “A small share of companies—from a variety of sectors—are generating outsized business results from AI, potentially widening the gap between AI power users and adoption laggards.”

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    Značky: #Analytics, #Rozne

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      12 ways to make really bad technology decisions

      pubsub.slavino.sk / infoworldcom · Monday, 9 August, 2021 - 10:00 edit

    When you look at new technologies, are you like a kid in a candy store excited to try every latest innovation? Maybe a leader in your organization is a technology gambler and ready to select vendors without sufficient analysis and due diligence? Or perhaps the procurement manager, the project management office, or business stakeholders put tech selections through such exhaustive research that your organization is left in innovation’s wake and stuck in the mud with legacy platforms?

    Tech Spotlight:
    IT Leadership

    These technology buying personas are found in many organizations, and they can undermine the ability of tech leaders to make wise and timely technology selections. Haphazard tech selection leads to wasted effort and technical debt, while overly methodical approaches slow the pace of innovation and thwart experimentation, smart risk-taking, and agile cultures.

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    Značky: #Analytics, #Devops, #Rozne

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      Real IT leadership: Selling the transformative dream

      pubsub.slavino.sk / infoworldcom · Monday, 9 August, 2021 - 10:00 edit

    It's one thing to cook up a great new initiative, but making it happen requires powers of persuasion, solid partnerships, and access to genuine technical insight.

    Značky: #Analytics, #Certifications, #Rozne

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      Data science needs drudges

      pubsub.slavino.sk / infoworldcom · Tuesday, 3 August, 2021 - 10:00 edit

    Data scientist may be one of the sexiest jobs of our century, as Harvard Business Review opines , but it sure does involve a lot of unsexy, manual labor. According to Anaconda’s 2021 State of Data Science survey , survey respondents said they spend “39% of their time on data prep and data cleansing, which is more than the time spent on model training, model selection, and deploying models combined.”

    To read this article in full, please click here

    Značky: #Analytics, #Rozne

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      3 ways AI improves CRM

      pubsub.slavino.sk / infoworldcom · Tuesday, 3 August, 2021 - 10:00 edit

    Customer relationship management systems have become indispensable tools in running business operations. In an always-connected and increasingly digital business world, manually-updated CRMs can quickly become unwieldy drags on office productivity and efficiency. This makes CRM platforms prime use cases of how companies across industries can leverage solutions using artificial intelligence technology.

    There are still several misconceptions about AI. Fundamentally, AI is about understanding the importance of data analysis and how we can train machines to synthesize, analyze, and act on data as a human being could. At its core, AI technology is about liberating the human mind from mundane tasks.

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    Značky: #Analytics, #Rozne

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      Data science is a lot of drudgery, and that’s good

      pubsub.slavino.sk / infoworldcom · Monday, 2 August, 2021 - 10:00 edit

    Data scientist may be one of the sexiest jobs of our century, as Harvard Business Review opines , but it sure does involve a lot of unsexy, manual labor. According to Anaconda’s 2021 State of Data Science survey , survey respondents said they spend “39% of their time on data prep and data cleansing, which is more than the time spent on model training, model selection, and deploying models combined.”

    To read this article in full, please click here

    Značky: #Analytics, #Rozne

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      OpenAI debuts Python-based Triton for GPU-powered machine learning

      pubsub.slavino.sk / infoworldcom · Thursday, 29 July, 2021 - 14:52 edit

    OpenAI, the nonprofit venture whose professed mission is the ethical advancement of AI, has released the first version of the Triton language , an open source project that allows researchers to write GPU-powered deep learning projects without needing to know the intricacies of GPU programming for machine learning.

    Triton 1.0 uses Python (3.6 and up) as its base. The developer writes code in Python using Triton’s libraries, which are then JIT-compiled to run on the GPU. This allows integration with the rest of the Python ecosystem, currently the biggest destination for developing machine learning solutions. It also allows leveraging the Python language itself, instead of reinventing the wheel by developing a new domain-specific language.

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    Značky: #Rozne, #Python, #Analytics

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      NumPy 1.20 introduces type annotations

      pubsub.slavino.sk / infoworldcom · Friday, 26 February, 2021 - 11:00 edit

    NumPy 1.20.0, described as the largest-ever release of the scientific computing package for Python, has arrived, introducing new capabilities such as type annotations and expanded use of SIMD (single instruction, multiple data).

    Release notes for NumPy 1.20.0 indicate type annotations have been added for large parts of NumPy. There also is a new numpy.typing module containing useful types for end users. Currently available types include ArrayLike , for objects that can be coerced into an array, and DtypeLike , for objects that can be coerced into a dtype.

    To read this article in full, please click here

    Značky: #Rozne, #Analytics, #Python