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Data Engineering Weekly #167

Data Engineering Weekly

Meta: OpenEQA - From word models to world models Will AI agents soon become a common fixture in our homes and an integral part of our daily lives? The highlight of the design is the unique blending of batch and real-time events with the common feature definition. It's a good read that familiarizes you with the LakeHouse formats.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. __init__ covers the Python language, its community, and the innovative ways it is being used. Go to dataengineeringpodcast.com/dagster today to get started.

Database 162
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Data Architecture and Strategy in the AI Era

Cloudera

More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs). In fact, two thirds of respondents agreed that data lakehouses were crucial to reducing pipeline complexity.

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Streaming Edge Data Collection and Global Data Distribution

Cloudera

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. There are three common classes of data distribution use cases that we often see: . Data distribution customer use cases.

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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. Multi-cloud deployment with CDP public cloud.

Cloud 81
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Analytics Engineer: Job Description, Skills, and Responsibilities

AltexSoft

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. Such specialists use Python and programming languages for statistical analysis like R and SAS. Data scientists also sit on the side of data analysis and business logic, but this side is more sophisticated.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog: Data Engineering

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. They offer consistency and standardization across data structures, improving data accuracy and integrity.