Article Data Architecture Data Lake Data Science 
Data Virtualization
OCTOBER 5, 2022
Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Selecting one among […].
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Data Virtualization
JANUARY 19, 2023
Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.
Peter James Thomas
AUGUST 18, 2018
No this article has not escaped from my Maths & Science section , it is actually about data matters. But first of all, channeling Jennifer Aniston [1] , “here comes the Science bit – concentrate” Shared Shapes. The image at the start of this article is of an Ichthyosaur (top) and Dolphin.
Data Virtualization
JANUARY 20, 2022
Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.
Data Virtualization
JANUARY 20, 2022
Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.
Cloudera
AUGUST 30, 2022
But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Modern data architectures.
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