Remove 2022 Remove Data Analytics Remove Metadata
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Gartner Data & Analytics Sydney 2022

Timo Elliott

You lose the roots, all of the rich, business, context and metadata and security and hierarchies, and then you have to try and recreate it in the new environment. But the problem with that is that it’s like ripping a tree out of the forest and trying to get it to grow in a different environment.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

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Cloudera Named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS)

Cloudera

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. We’re proud to be recognized for the data management and data analytics innovations we have delivered in the new Cloudera Data Platform (CDP).

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Establish what data you have. Leverage small data.

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Rethinking data analytics as a digital-first driver at Dow

CIO Business Intelligence

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. What was needed was a strategy that essentially weaves data into the fabric of our company to the extent it impacts how we work every day.

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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

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