Remove Blog Remove Data Architecture Remove Data Integration Remove Data Lake
article thumbnail

Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained

Data Virtualization

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.

article thumbnail

Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Choose Next to create your stack.

Data Lake 106
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Data architecture strategy for data quality

IBM Big Data Hub

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

article thumbnail

Modernizing Data Analytics Architecture with the Denodo Platform on Azure

Data Virtualization

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.

article thumbnail

How Knowledge Graphs Power Data Mesh and Data Fabric

Ontotext

Data Lakes, Data Catalogs, and Findability Organizations approach data lakes as cheap storage. They move data to data lakes creating another copy – the mantra being – “ Lets move the data to a data lake and then we will figure out what to do with it”.

article thumbnail

Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. Partner solutions to boost functionality, adoption.

article thumbnail

Go Fast and Far Using Data Virtualization

Data Virtualization

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.