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Snowflake taps Python to take on Teradata, Google BigQuery, and Amazon Redshift

Snowflake's updates include support for Python on the Snowpark application development system , data access capabilities, and external tables for on-premises storage.

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Snowflake switches gears, from data warehouse to application cloud

With its new Native Application Framework, Snowflake offers developers the ability to build and run applications on a common cloud-based data platform and leverage its Data Marketplace to monetize those apps.

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What is behavioral analytics and when is it important?

The ability to mine large amounts of data to study how users act offers long-reaching business benefits and risk reduction opportunities.

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12 programming tricks to cut your cloud bill

Cutting cloud costs is a team effort, and that includes developers. Here are 12 tricks for developing software that is cheaper to run in the cloud.

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning and developing neural networks faster and easier.

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3 business solutions where AI is a good choice

Now that AI is cheap and widely available, we often leverage it too often and for the wrong reason. Here's where cloud-based AI provides the most value.

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As data science goes mainstream, so does its language

Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science.


Informatica’s Data Management Cloud gets new data engineering, MLOps tools

Updates to Informatica's Intelligent Data Management Cloud (IDMC) are meant to maximize efficiency of an enterprise to handle complex challenges such as data integration, management and engineering.

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Career roadmap: Data engineer

A combination of education, on-the-job training, and a certificate in data science paved the way from health sciences to data engineering.

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Doing data warehousing the wrong way

If data pipelines and streams are the future, why are we still thinking of data as static?

A user reviews data and statistical models. [analytics / analysis / tracking / monitoring / logging]

shinytest2, Rhino R Shiny framework top news at Appsilon conference

An updated Shiny testing package and new Shiny framework were featured at this week's Shiny conference.

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Making AI accountable: Blockchain, governance, and auditability

Recording the model development process on the blockchain can make that process more structured, transparent, and repeatable, resulting in less bias and more accountability.

JSON, or JavaScript Object Notation, is a minimal, readable format for structuring data [logo]

Aerospike Database adds native JSON document support

Aerospike Database 6 release also introduces massively parallel secondary indexes, which promise the same speed and efficiency as primary indexes.

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Overcoming AI’s limitations

Artificial general intelligence will be able to understand or learn any intellectual task that a human can. AGI will have high costs and huge risks, but it’s coming—maybe soon.

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What is a data lake? Massively scalable storage for big data analytics

Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses.

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Career roadmap: Machine learning scientist

Data scientists and machine learning scientists have similar roles, but a machine learning scientist specializes in researching and implementing complex algorithms.

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Review: Databricks Lakehouse Platform

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your data warehouse needs?

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Think of search as the application platform, not just a feature

Today we’re seeing a major evolution in how search anticipates what users want before they know they are looking for it. Developers should be tuning in.

Cloud computing

Neo4j’s new AuraDS brings managed data science services to Google Cloud

Neo4j's new managed service works with the company’s cloud-based graph database offering, AuraDB, providing a library of graph algorithms, machine learning pipelines, and data science methodologies for data scientists and developers.

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Scaling throughput and performance in a sharding database system

Understand the two dimensions of scaling for database query and ingest workloads, and how sharding can make scaling elastic—or not.

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