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Tag: Metadata

2021 Predictions: Data Science

Dec 23, 2020 |

It’s that time of year again – time for predictions! Thank you for patiently waiting while Datanami compiled 2021 predictions from the assorted predicters. We’ll kick things off with predictions about a most pertinent topic: Read more…

Google Joins the MLOps Crusade

Sep 1, 2020 |

Machine learning developers face an expanded set of management issues beyond merely getting the code right, including the testing and validation of data used in ML models while handling an additional set of infrastructure dependencies. Read more…

The Cure for Kubernetes Storage Headaches: Break Your Data Free

May 19, 2020 |

If you’re using Kubernetes, there’s likely a simple reason why: Because it makes your life easier. That is, after all, the whole premise behind container-based orchestration. Infrastructure becomes disposable. Spin it up when you need it, throw it away when you’re done, and let Kubernetes worry about the underlying infrastructure, so you don’t have to think too much about it. Read more…

Selecting a Data Lake ETL Platform? Here Are 6 Questions to Ask

Nov 22, 2019 |

Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without requiring extended data transformation, then go for it. Read more…

8 Best Practices for Approaching Master Data Governance in the Cloud

Jul 23, 2019 |

Expanding your footprint to the cloud has gotten easier in recent years, and as a result, a growing community of data consumers are now motivated and energized to collect, capture, store, and analyze data for insights and business decision making. Read more…

How to Build a Better Machine Learning Pipeline

Sep 5, 2018 |

Machine learning (ML) pipelines consist of several steps to train a model, but the term ‘pipeline’ is misleading as it implies a one-way flow of data.  Instead, machine learning pipelines are cyclical and iterative as every step is repeated to continuously improve the accuracy of the model and achieve a successful algorithm.   Read more…

AWS Looks to ‘Demystify’ Machine Learning

Feb 28, 2018 |

Amazon Web Services used a big data conference in the backyard of some of its largest government customers to showcase its AI and machine learning tools that are helping to funnel ever-larger volumes of data into its storage and computing infrastructure. Read more…

Updated Storage Platform Leverages Metadata

Aug 2, 2017 |

Venture capital keeps flowing into the big data sector as a seemingly never-ending line of analytics startups roll out data management and other platforms designed to scale to petabytes and beyond. Read more…

Coveo, Microsoft, Sinequa Lead Insight Engine Market

Apr 10, 2017 |

Among the areas where natural language processing is making inroads is so-called “insight engines” that are projected to account for half of analytic queries by 2019. Indeed, enterprise search is being supplanted by voice and automated voice commands, according to Gartner Inc. Read more…

Fully Hydrate Your Lake in 8 Weeks or Less, Zaloni Says

Mar 13, 2017 |

Zaloni today rolled out Data Lake in a Box, a soup-to-nuts offering for getting a fully governed Hadoop cluster up and running in eight weeks or less. The offering includes Hadoop software, data management middleware, and implementation services. Read more…

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