Dataversity

SEPTEMBER 24, 2021

We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 billion by 2028. The reason is pretty obvious – businesses want to leverage the power of data […].

Data Warehouse 97

Data Warehouse Data Quality Data Governance Cloud Data 97

Data Science Dojo

JANUARY 12, 2023

Highlighting the benefits of using data warehouses, it consolidates all the data from different sources into a single place for effective reporting and analysis. According to Allied Marketing Research, the global data warehousing market is projected to grow at over 10% CAGR to reach up to $51.18

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Towards AI

APRIL 2, 2024

This is only clearer with this week’s news of Microsoft and OpenAI planning a >$100bn 5 GW AI data center for 2028. This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. This would be its 5th generation AI training cluster.

AI 103

AI AI Clustering Data Quality 103

Dataconomy

SEPTEMBER 27, 2024

The global data analytics market is forecasted to increase by USD 234.4 billion from 2023 to 2028. To learn more about the trends of data analytics fields, their prospects, and their challenges, we talked to Aksinia Chumachenko, Product Analytics Team Lead at Simpals, Moldova’s leading digital company.

Analytics 113

Analytics Analytics Big Data Big Data 113

Pickl AI

NOVEMBER 4, 2024

The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million by 2028. This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

APRIL 9, 2023

It empowers the business to transform data into meaningful visualisation that can eventually be converted into actionable formats. billion by 2028. In addition, it cannot handle large volumes of data sources. Another disadvantage of Power BI is that it doesn’t have a data cleansing feature, which may impact data quality.

Power BI 52

Power BI Business Intelligence Business Intelligence Cloud Computing 52