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Data is at the core of everything, from business decisions to machine learning. But processing large-scale data across different systems is often slow. Constant format conversions add processing time and memory overhead. Traditional row-based storage formats struggle to keep up with modern analytics. This leads to slower computations, higher memory usage, and performance bottlenecks.
The blog post reviews an Apache Incubating project called Apache XTable, which aims to provide cross-format interoperability among Delta Lake, Apache Hudi, and Apache Iceberg. Below is a concise breakdown from some time I spend playing around this this new tool and some technical observations: 1. What is Apache XTable? Not a New Format: Its […] The post Apache XTable.
Multimodal AI models capable of processing multiple different types of inputs like speech, text, and images have been transforming user experiences in the wearables space. With our Ray-Ban Meta glasses, multimodal AI helps the glasses see what the wearer is seeing. This means anyone wearing Ray-Ban Meta glasses can ask them questions about what theyre looking at.
Context and Motivation dbt (Data Build Tool): A popular open-source framework that organizes SQL transformations in a modular, version-controlled, and testable way. Databricks: A platform that unifies data engineering and data science pipelines, typically with Spark (PySpark, Scala) or SparkSQL. The post explores whether a Databricks environmentoften used for Lakehouse architecturesbenefits from dbt, especially if […] The post dbt on Databricks. appeared first on Confessions of a Data Guy.
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Like many other industries, Artificial Intelligence has transformed and automated the Manufacturing domain. In manufacturing, AI enhances efficiency, accuracy, adaptability, and productivity across multiple processes by optimizing them. From predictive maintenance to generative AI applications, Artificial Intelligence is helping manufacturers gain a competitive edge.
Combining Flink's ML_PREDICT() and FEDERATED_SEARCH() functions gives you a toolset to add natural-language queryable, domain-specific content to your Confluent AI workflow.
Combining Flink's ML_PREDICT() and FEDERATED_SEARCH() functions gives you a toolset to add natural-language queryable, domain-specific content to your Confluent AI workflow.
Have you ever wondered how the biggest brands in the world falter when it comes to data security? Consider how AT&T, trusted by millions, experienced a breach that exposed 73 million records sensitive details like Social Security numbers, account info, and even passwords. Then theres Ticketmaster, where over 560 million records were compromised, triggering a cascade of issues including an antitrust lawsuit from the Justice Department.
This is the third post in a series exploring types and type systems. Previous posts have looked at Algebraic Data Types with Java Variance, Phantom and Existential types in Java and Scala Intersection and Union Types with Java and Scala One of the difficult things for modern programming languages to get right is around providing flexibility when it comes to expressing complex relationships.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
The growth of data and need for increased power efficiency are leading to innovative storage solutions. HDDs have been growing in density, but not performance, and TLC flash remains at a price point that is restrictive for scaling. QLC technology addresses these challenges by forming a middle tier between HDDs and TLC SSDs. QLC provides higher density, improved power efficiency, and better cost than existing TLC SSDs.
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