Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These ...

Big Data Analytics. Big data analytics is the process of examining big data by leveraging analytical techniques such as data mining, data science, ML and predictive modeling.

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics space including Qlik, Salesforce Tableau, SAS and ThoughtSpot.

In this article, we delve into how big data is revolutionizing the construction industry and explore how forward-thinking companies leverage cutting-edge technologies to stay at the forefront of this ...

The global data and analytics software market reached $141.91 billion in 2024 and is expected to grow at a compound annual growth rate of 13.6 percent through 2023, according to a report from ...

Azure Synapse: Best for unified data analytics across big data systems and data warehouses. Databricks : Best for use cases such as streaming, machine learning, and data science-based analytics.

Also read: Best Data Analytics Certifications 2022. Data architect. A data architect, also known as a chief data officer (CDO), takes a high-level view of your organization’s data and how to use it ...

Collibra Best for Customization. Collibra is a cross-organizational data governance software that enables companies to define data policies properly, catalog and classify data assets, define ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.