Christophe Blefari

JANUARY 20, 2024

new concepts — in today's data engineering a lot of new concepts enter the field every year like quality, lineage, metadata management, governance, privacy, sharing, etc. Read technical blogs, watch conferences and read 📘 Designing Data-Intensive Applications (even if it could be overkill). Is it really modern?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

JULY 28, 2019

Rather than manually defining all of the mappings ahead of time, we can rely on the power of graph databases and some strategic metadata to allow connections to occur as the data becomes available. In your white paper you mention the benefits of graph technology and how it solves the problem of data integration.

Data Integration 100

Data Integration Metadata Architecture Media 100

Precisely

SEPTEMBER 15, 2023

The Emerging Business Imperative of Data Governance Data governance is a framework for aligning people, processes, and technology, enabling them to understand their data and metadata and giving them the tools to transform it into tangible business value. Download our free Precisely white paper, A Roadmap for Data Governance.

Data Governance 52

Data Governance Government Programming Data 52

Tweag

MARCH 11, 2024

The Guix team similarly published their own answer Dear CISA team, I appreciate your effort to gather comments about your recently released “Software Identification Ecosystem Option Analysis” white paper.

Metadata 59

Metadata Utilities Building Designing 59

Precisely

SEPTEMBER 5, 2023

That may include transactional and operational data, reference data, metadata , and audit information, for example. Read our White paper A Roadmap for Data Governance This white paper explores four steps of the data governance journey, and how doing it right will payoff in the long run.

Data Governance 52

Data Governance Government Data Management Management 52

Confluent

APRIL 10, 2019

I recommend you familiarize yourself with that blog post and the accompanying white paper before proceeding, because this blog post builds on those core concepts. For example, when Confluent Monitoring Interceptors are configured on Kafka clients, they write metadata to a Kafka topic called _confluent-monitoring.

Kafka 86

Kafka Metadata Java Cloud 86

Rockset

JUNE 27, 2019

For more details on leaf nodes, please refer to Aggregator Leaf Tailer blog post or Rockset white paper. RocksDB-Cloud replicates all the data and metadata for a RocksDB instance to S3. When a query is received, leaf nodes are assigned query plan fragments to serve data from some of the RocksDB instances assigned to them.

Bytes 40

Bytes Metadata Cloud Engineering 40