AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Learn more about the zero-ETL integrations, data lake performance enhancements, and other announcements below.

Data Warehouse 121

Data Warehouse Analytics Data Lake Machine Learning 121

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 98

Optimization B2B Data Quality Sales 98

Cloudera

FEBRUARY 4, 2019

Stream Processing – Manage and process multiple streams of real-time data using the most advanced distributed stream processing system – Apache Kafka. Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

AWS Big Data

MARCH 11, 2025

Todays digital-first, B2B landscape presents marketers with complex challenges as they navigate sophisticated buyer journeys involving diverse decision-making groups. To further enhance their B2B marketing capabilities, organizations are now looking to fully use their marketing data for more informed decision-making and strategy optimization.

B2B 88

B2B Data-driven Sales Marketing 88

CIO Business Intelligence

JANUARY 16, 2025

My experiences as architecture principal in B2C-connected vehicle integration for the automotive OEM industry focused on unlocking and enabling the access and flow of data from vehicles globally and at scale. edge compute data distribution that connect broad, deep PLM eco-systems.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52