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Why You Need End-to-End Data Lineage

erwin

But given the volume, velocity and variety of data (the three Vs of data) we generate today, producing and keeping up with end-to-end data linage is complex and time-consuming. Who are the data owners? What are the transformation rules? Five Consequences of Ignoring Data Lineage.

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How to Build Knowledge Graphs for Enterprise Applications with Two Industry Leaders

Ontotext

Enterprises generate an enormous amount of data and content every minute. Knowledge graphs allow organizations to enrich it with semantic metadata, making it ready to be used across teams and enterprise systems. Partner with PoolParty and GraphDB to build knowledge graphs for enterprise applications.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

AWS Glue crawls both S3 bucket paths, populates the AWS Glue database tables based on the inferred schemas, and makes the data available to other analytics applications through the AWS Glue Data Catalog. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

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Next-Gen Graph Technology: A CDO Matters Podcast with Ontotext’s CMO Doug Kimball

Ontotext

But the use cases that it’s very good at have really exploded, particularly around digital transformation. Malcolm : We talked a little bit about how graphs can be used to create, visualize and understand novel relationships and manage and structure data in a different way that’s more flexible and more powerful.

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Data Swamp, Data Lake, Data Lakehouse: What to Know

Alation

That dirty data then corrupts analyses and forces mistakes. A frequent and periodic data cleansing strategy is. Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete metadata.

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Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS

AWS Big Data

Spark SQL is an Apache Spark module for structured data processing. FINRA centralizes all its data in Amazon Simple Storage Service (Amazon S3) with a remote Hive metastore on Amazon Relational Database Service (Amazon RDS) to manage their metadata information.

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Shutterstock capitalizes on the cloud’s cutting edge

CIO Business Intelligence

We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. “We think we found a good balance there. Now that’s down to a number of hours.”