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The future of data architecture is hybrid: choosing your hybrid-first data strategy starts at Cloudera Now 2022

Cloudera

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. We’ve seen this from all of our customers and are emphasizing building and iterating on modern data architectures. Do we need more than one?

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A Year of Modern: Our Top 2022 Blog Posts — Chosen by You

The Modern Data Company

These were our most popular blog posts in 2022 according to reader statistics. We heard a lot about the future of customer 360 in 2022, with well-intended voices encouraging businesses to finally drop it. “ Thus begins another popular Modern blog post from 2022. Let’s catch up and revisit what you loved. So they say.

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How HomeToGo Is Building a Robust Clickstream Data Architecture with Snowflake, Snowplow and dbt

Snowflake

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Over the course of this journey, HomeToGo’s data needs have evolved considerably.

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Join us at the Iceberg Summit 2024

Cloudera

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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Data Mesh & Its Distributed Data Architecture

KDnuggets

Going forward, data professionals have found a new way to address the scalability of sources through data mesh.

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KDnuggets™ News 22:n07, Feb 16: How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture

KDnuggets

How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level.

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Barr Moses: My Top 5 Articles of 2022

Monte Carlo

Our combined predictions for 2023 are: Cloud Manages 75% Of All Data Workloads by 2024 (Tomasz) Data Engineering Teams Will Spend 30% More Time On FinOps / Data Cloud Cost Optimization (Barr) Data Workloads Segment By Use (Tomasz) More Specialization Across the Data Team (Barr) Metrics Layers Unify Data Architectures (Tomasz) Data Gets Meshier, But (..)