Remove 2021 Remove Blog Remove Data Architecture Remove Metadata
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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

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How Knowledge Graphs Power Data Mesh and Data Fabric

Ontotext

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

According to Flexera’s 2022 State of the Cloud Report , respondents self-estimated that their organizations wasted 32% of cloud spend in 2021, up from 30% the previous year. These features provide businesses with a common metadata, security, and governance model across all their data.

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The Future of the Data Lakehouse – Open

Cloudera

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

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Data Strategy and Decentralization: A Data Architect’s View

Alation

In 2021, global spending on blockchain amounted to $6.6 How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them.

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Query your Iceberg tables in data lake using Amazon Redshift (Preview)

AWS Big Data

Iceberg stores the metadata pointer for all the metadata files. When a SELECT query is reading an Iceberg table, the query engine first goes to the Iceberg catalog, then retrieves the entry of the location of the latest metadata file, as shown in the following diagram. In this post, we use Athena to convert the data.

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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

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