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Establishing Connections and Putting an End to Data Silos

Dataversity

They must connect not only systems, data, and applications to each other, but also to their […]. The post Establishing Connections and Putting an End to Data Silos appeared first on DATAVERSITY.

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Why Graph Databases Are an Essential Choice for Master Data Management

Dataversity

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. Click to learn more about author Brian Platz.

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Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Pickl AI

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

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8 Data Lake Vendors to Make Your Data Life Easier in 2023

ODSC - Open Data Science

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

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5 misconceptions about cloud data warehouses

IBM Journey to AI blog

Misconception 1: Cloud data warehouses are more expensive When considering moving data warehouses from on-premises to the cloud, companies often get sticker shock at the total cost of ownership. However, a more detailed analysis is needed to make an informed decision.

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Sneak peek at Microsoft Fabric price and its promising features

Dataconomy

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. OneLake is designed to store a single copy of data in a unified location, leveraging the open-source Apache Parquet format.

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. All phases of the data-information lifecycle.