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Analytics | News, how-tos, features, reviews, and videos
Starburst’s new data products aim to ease cross-cloud analytics
Data product capabilities added to the Starburst Enterprise software are targeted at enhancing data management and security while being compliant with cross-border regulations.
Oracle MySQL HeatWave comes to AWS
Oracle’s MySQL database service supporting mixed analytical, transaction processing, and machine learning workloads is now available on Amazon Web Services.
When is enough data enough?
Maybe we don’t need more data, we just need people who understand the data we already have and its value in a business context.
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R tutorials: Learn R programming for data science
Search for R tutorials by task, topic, or package. Many include videos which are shorter than 10 minutes
TensorFlow 2.10 shines on Keras, Decision Forests
Update to Google’s open source machine learning platform brings Keras improvements, performance enhancements, and TensorFlow Decision Forests 1.0.
How to create Word docs from R or Python with Quarto
It’s easy to automate the creation of Word documents with Quarto, a free, open-source technical publishing system that works with R, Python, and other programming languages.
Dremio Cloud review: A fast and flexible data lakehouse on AWS
Dremio Cloud leaps big data in a single bound with a fast SQL engine and optimizations that can accelerate queries dramatically. Plus it lets you use other engines on the same data.
What devops needs to know about data governance
Industry leaders agree that data governance belongs to everyone in IT. Managing the privacy, security, and reliability of data impacts all aspects of the business.
Use Cython to accelerate array iteration in NumPy
NumPy is known for being fast, but there's always room for improvement. Learn how to use Cython to iterate over NumPy arrays at the speed of C.
Teradata launches VantageCloud Lake for ad-hoc analytics
VantageCloud Lake edition comes with expanded ClearScape Analytics suite that supports in-database analytics for artificial intelligence and machine learning operations.
TensorFlow, PyTorch, and JAX: Choosing a deep learning framework
Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?
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12 ggplot extensions for snazzier R graphics
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 package for Gantt charts.
IT career roadmap: Data scientist
Reading Freakonomics awakened his passion for data science. Here's how further education and thoughtful career moves led to becoming a data scientist.
Why Apache Iceberg will rule data in the cloud
Apache Iceberg is an open table format that offers scalability, usability, and performance advantages for very large data sets. Here are five reasons Iceberg is optimal for cloud data workloads.
9 platforms that improve employee digital experiences
Boost productivity and job satisfaction with efficient workflows and helpful tools, such as no-code development, intelligent search, and customer data platforms.
Review: Snowflake aces Python machine learning
Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.
What is Quarto? RStudio rolls out next-generation R Markdown
R Markdown isn’t going away. But the Quarto publishing platform is as friendly to Python, Julia, and Observable JavaScript as it is to R.
