Remove 2022 Remove Accessible Remove Data Architecture Remove Technology
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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

progressively more complex for businesses to access, use, and create value from it. Before you can capitalize on your data you need to know what you have, how you can use it in a safe and compliant manner, and how to make it available to the business. Data fabrics are one of the more mature modern data architectures.

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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Keep an eye on the eight top trends below that we believe will be significant in the year 2022. Data Gets Meshier. AI Accountability. Rise of the DataOps Engineer.

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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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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. The Iceberg community is deeply important to us at Cloudera.

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Data Engineer Roles And Responsibilities 2022

U-Next

Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility.

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Data Engineer Salary India 2022

U-Next

Develop your data architecture: They design, develop, and manage data structures systematically, even while maintaining them in line with business needs. Automate Workflows: Data Engineers go into the data to identify processes that may be automated to remove manual involvement. What Tools Do Data Engineers Employ?

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How Financial Services Should Prepare for Generative AI

Snowflake

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. But what will that look like?