Remove Data Processing Remove Data Quality Remove Data Strategy
article thumbnail

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

article thumbnail

How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone

AWS Big Data

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data. Techcopedia.

article thumbnail

Modern Data Architecture for Telecommunications

Cloudera

The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges?

article thumbnail

The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

article thumbnail

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

article thumbnail

From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

The use of knowledge graphs doesn’t try to enforce yet another format on the data but instead overlays a semantic data fabric, which virtualizes the data at a level of abstraction more closely to how the users want to make use of the data. Consider using data catalogs for this purpose.