Data science

Data science

Over a quarter of data and analytics professionals worldwide estimate that poor-quality data costs companies over $5 million annually, with 7% putting the figure at $25 million or more.

With the 2.1 release, Apache Flink also now supports Process Table Functions (PTFs), the most powerful kind of function for Flink SQL and Table API.

This introduces latency, complexity and what we call 'bloat,' explains Chad Meley, SVP of Marketing at StarTree. We're collapsing that serving and query layer into one piece of the puzzle, significantly reducing the bloat and simplifying that architecture.

Ataccama closes that gap by turning complex data logic into plain language. Business users can now trace a data point's origin and understand how it was profiled or flagged without relying on technical experts.

In traditional systems, side effects lead to increased complexity, debugging challenges, and unpredictable behavior. CocoIndex adopts a pure data flow programming approach, ensuring reliability.

MySQL 9.0.0 introduces a new Vector datatype, JavaScript Stored Programs, updated library versions, and enhancements to the Event Scheduler, while deprecating old SHA-1 security.

There is a complete reset in how data is managed and flows around the enterprise. If people want to seize the AI imperative, they have to redo their data platforms in a very big way. And this is where I believe you're seeing all these data acquisitions, because this is the foundation to have a sound AI strategy.

Databricks is contributing the technology behind Delta Live Tables (DLT) to the Apache Spark project as Spark Declarative Pipelines, simplifying the development of streaming pipelines.

Venn diagrams use overlapping circles to show the relationship between two or more things, facilitating comparisons across various fields.

Percona is providing Transparent Data Encryption (TDE) for PostgreSQL to enhance database security, helping customers meet compliance requirements without licensing fees or restrictions.

A Common Table Expression (CTE) is a named, temporary result set defined within a single SQL statement, which helps in improving query readability and maintainability.

Both cache() and persist() store an RDD/DataFrame/Dataset in memory (or disk) to avoid recomputation. cache() is shorthand for persist(StorageLevel.MEMORY_ONLY), while persist() offers more control.

Antarctic ice gained mass from 2021 to 2023, showing climate change follows a jagged path with temporary gains amid long-term losses.

She emphasized the idea that moving from exploratory data analysis in Jupyter notebooks to production involves not just technical skills, but also leveraging software engineering principles.

DuckDB provides a powerful, seamless way to manage large datasets in Python, utilizing OLAP optimization for enhanced data handling and query capabilities.

Shares of Snowflake Inc. surged 6.56% in the past month, achieving a year-to-date gain of 70.82%, with Q1 revenue exceeding $1 billion for the first time.

Remote-sensing data and AI are being utilized to identify heat-vulnerable buildings in cities like Delhi, targeting efforts to provide relief during extreme temperatures.

There are some that claim the US Constitution is a product of a Judeo-Christian culture, asserting that democracy matured due to a Christian influence.

Cities like Shenyang, once reliant on declining industries, are reinventing themselves by focusing on new tech initiatives, particularly in AI data processing to create new jobs.

The dataset for our analysis was shaped by filtering out potentially biased comments, ensuring that the final set was representative and valid for our study.