Analytics | News, analysis, features, how-tos, and videos
Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it.
The San Francisco-based startup has released a SQL-based, self-orchestrating data pipeline platform, claiming it will go to go toe-to-toe with Databricks’ Delta Live Tables.
The suite, which includes the new IBM Analytics Content Hub, is designed to let enterprises access analytics and planning tools from multiple vendors in a single dashboard, IBM said.
Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.
For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages to explore on your own.
Organizations are hiring data scientists to develop ML models and experiment with AI, but the business impact is lagging for many large enterprises.
The new lakehouse service, designed to quickly load and query up to 400TB of data, will compete with offerings from Oracle rivals that have also jumped on the lakehouse concept, including Snowflake, Google, AWS and Microsoft Azure.
What you need to know about Google Cloud Next data announcements: BigLake support for Apache Iceberg, Hudi and Delta Lake; BigQuery adds unstructured data, Apache Spark and DataStream support; Looker Studio unifies business intelligence products; and
Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.
Free, hosted Observable notebooks provide an interactive experience and lots of open-source Observable JS code you can reuse and learn from. Here's how to get started.