AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. But integrating data isn’t easy.

Data Warehouse 93

Data Warehouse Data-driven Machine Learning B2B 93

Cloudera

SEPTEMBER 8, 2022

Combined with the characteristics of the infrastructure itself (location, cost, performance) should be workload profiles, including access controls and collaboration, workload optimization features (e.g. for machine learning), and other enterprise policies.

Data Governance 79

Data Governance B2B Data Architecture IoT 79

datapine

AUGUST 20, 2019

This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. to perform B2B operations. Data has grown not only in terms of size but also variety.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

BizAcuity

APRIL 6, 2022

A majority of online casinos have also started accepting various cryptocurrencies as payments and many B2B gaming providers have been heavily investing in crypto gaming to meet with the rising demand. Crypto Casinos provide hundreds of games, sports and esports betting options and are increasingly getting popular.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

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. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55