As part of CRN’s 2025 Year So Far series, here’s a look at some of the hottest data science and machine learning tools in use today. Some of the following tools are relatively new to the ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Overview: A data scientist must blend technical skills with business sense.Tools and techniques evolve, but core ...

It supports a wide array of tasks — from batch processing to real-time analytics and machine learning — making it a versatile choice for businesses that need a robust, scalable data processing ...

Qlik Sense: Best for machine learning (ML) Looker: Best for data exploration Klipfolio: Best for instant metrics Zoho Analytics: Best for robust insights Domo: Best for streamlining workflows ...

JupyterLab provides a robust platform for machine learning and data analysis, combining the flexibility of an interactive notebook with the power of Python libraries. Whether you're building simple ...

Best for real-time data analytics and machine learning: Apache Spark Best for Java developers looking to incorporate deep learning and neural networks: DeepLearning4j ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

While many organizations have invested in data architectures, deployed analytics tools, built machine learning models, and rolled out data visualization capabilities, end-user adoption may lag ...

I believe Snowflake is disrupting the data market with its cloud platform for machine learning and data analytics. See why we believe SNOW stock is a strong sell.