Actualités

Some tasks, such as exploratory data analysis, are best handled through Python or R programming. Python is designed for real-time calculations and Excel is better for advanced data calculations ...
SQL history Before there was SQL, databases had tight, navigational programming interfaces, and typically were designed around a network schema called the CODASYL data model.
Key Takeaways Interviews for data analysts test technical and business understanding.Practicing real examples helps you ...
NEW YORK, Dec. 15, 2021 — Sisense, a leading AI-driven platform for infusing analytics everywhere, today announced Sisense Notebooks, a new code-first functionality within Sisense Fusion Analytics ...
Data analysis, visualization, and storytelling are essential skills that shape modern business decisions.Strong communication ...
Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.
In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...
Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.
Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...
Data Amp, Microsoft's new online data platform event, the company is announcing Python in the next version of SQL Server, GA of Azure Analysis Services, Cortana Intelligence Suite solution ...