AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

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. This is the Data Mart stage.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

bridgei2i

JANUARY 19, 2021

Business Intelligence (BI) has always been a valuable aid for decision making. Essentially, data can converse with a busy executive on the go. The internet and the advent of cloud technologies have made possible easy-to-use interfaces, in the form of various visualizations and dashboards, and enabled on-demand analytics.

Analytics 98

Analytics B2B Dashboards Sales 98

AWS Big Data

FEBRUARY 20, 2024

The elasticity of Kinesis Data Streams enables you to scale the stream up or down, so you never lose data records before they expire. Analytical data storage The next service in this solution is Amazon Redshift, a fully managed, petabyte-scale data warehouse service in the cloud.

Visualization 99

Visualization Cost-Benefit Optimization B2B 99

CIO Business Intelligence

AUGUST 2, 2022

An engineer approaches the machine, scans its QR code, and immediately accesses visual step-by-step instructions for fixing the issue created by the people who work with the same machines every day. Li gained experience in visual art and UX design as well as product management and software development before joining SwipeGuide in 2019.

Machine Learning 95

Machine Learning B2B Dashboards Measurement 95

Jet Global

FEBRUARY 23, 2024

Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52