Remove 2021 Remove Metadata Remove Reporting Remove Unstructured Data
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What Is a Metadata Catalog? (And How it Can Dramatically Improve Your Data Accuracy)

Octopai

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. In The Case of the Deceptive Data, Holmes is approached by B.I. Some of these data assets are structured and easy to figure out how to integrate.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. The analytic team could only produce weekly and monthly reports.

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Ontotext Invents the Universe So You Don’t Need To

Ontotext

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

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Habib Bank manages data at scale with Cloudera Data Platform

Cloudera

In 2021, HBLs customers digitally carried out over 330 Mn financial transactions valued at PKR 7 Tn) in payments, a growth of 30% over 2020. We needed a solution to manage our data at scale, to provide greater experiences to our customers. and primarily served regulatory reporting and internal analytics requirements.