AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. The Stripe Data Pipeline is powered by the data sharing capability of Amazon Redshift.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

AWS Big Data

DECEMBER 21, 2023

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages. The departments include teams from engineering to sales and marketing.

Data Lake 104

Data Lake Data Warehouse Data-driven B2B 104

AWS Big Data

JULY 13, 2023

Identifying key use cases After a number of preparation meetings to discuss business and technical aspects of the use case, AWS and Altron identified two uses cases to resolve their two business challenges: Business intelligence for business-to-business accounts – Altron wanted to focus on their business-to-business (B2B) accounts and customer data.

Optimization 96

Optimization B2B Data Quality Sales 96

Ontotext

MARCH 18, 2020

The main market driver generating demand for knowledge graphs is that B2B clients are on the lookout for intelligent knowledge management solutions that work the same way as the solutions Apple, Amazon, Google and Microsoft provide to their B2C users. Why Enterprise Knowledge Graphs? Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

FEBRUARY 12, 2024

A centralized data engineering team focuses on building a governed self-serviced infrastructure, while domain teams use the services to build full-stack data products. However, data mesh is not about introducing new technologies.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Jet Global

FEBRUARY 23, 2024

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application. It facilitates smooth B2B data transmission.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52