phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Get the Trendbook What is the Impact of Data Governance on GenAI?

Government 52

Government Data Governance Finance Metadata 52

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 86

Data Governance Government Metadata Data Security 86

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Government Management 52

Striim

MARCH 4, 2025

These incidents serve as a stark reminder that legacy data governance systems, built for a bygone era, are struggling to fend off modern cyber threats. They react too slowly, too rigidly, and cant keep pace with the dynamic, sophisticated attacks occurring today, leaving hackable data exposed.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Data Engineering Weekly

MARCH 5, 2025

This blog post expands on that insightful conversation, offering a critical look at Iceberg's potential and the hurdles organizations face when adopting it. This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g., Compute Engines: Tools that query and process data stored in Iceberg tables (e.g.,

Hadoop 58

Hadoop Metadata Data Ingestion Data Governance 58

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like.

Metadata 52

Metadata IT Government High Quality Data 52

Ascend.io

DECEMBER 4, 2024

Automation, AI, DataOps, and strategic alignment are no longer optional —they are essential components of a successful data strategy. As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 124

Architecture Metadata Kafka Government 124

Ascend.io

DECEMBER 4, 2024

Automation, AI, DataOps, and strategic alignment are no longer optional —they are essential components of a successful data strategy. As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Netflix Tech

FEBRUARY 14, 2025

This nuanced integration of data and technology empowers us to offer bespoke content recommendations. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Kafka 66

Kafka Datasets Metadata Utilities 66

Cloudera

APRIL 18, 2024

In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular. Learn more about how Cloudera is accelerating enterprise AI.

Metadata 110

Metadata Government Data Governance Data 110

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 113

Data Science Cloud Hadoop Metadata 113

Cloudera

AUGUST 10, 2021

SDX enhancements for improved platform and data governance, including the following notable features: . We expand on this feature later in this blog. x, as well as documented rollback procedures to help customers with their move to CDP PvC Base, as mentioned in the blog introduction. . x, and 6.3.x, x, and 6.3.x,

Cloud 97

Cloud Kafka Metadata SQL 97

Snowflake

JUNE 5, 2024

To help organizations better govern AI, Snowflake Horizon is also advancing security, lineage and sharing capabilities for models. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data. Learn more in the blog.

Government 116

Government Accessibility Accessible Cloud 116

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Manufacturing 111

Manufacturing Retail Government Entertainment 111

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. .

Cloud 104

Cloud Government Healthcare Metadata 104

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. The platform is centralizing the data, data management & governance, and building custom controls for data ingestion into the system.

Government 91

Government Data Security Banking Metadata 91

Precisely

AUGUST 22, 2024

Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security. Problems it solves Data fabric addresses key data management and use challenges.

Data Governance 69

Data Governance Government High Quality Data Metadata 69

Snowflake

APRIL 29, 2024

Additionally, data can be classified and tagged based on its level of sensitivity, confidentiality or importance to the organization. This prioritizes security measures and simplifies data discovery. Data Governance: Snowflake also offers a comprehensive list of data governance features.

Transportation 105

Transportation Data Governance Government Consulting 105

Cloudera

MARCH 22, 2023

Luke Roquet recently drilled into the topic of data observability with Mark Ramsey of Ramsey International (RI) to also cover the five pillars (freshness, distribution, volume, schema, and lineage) that describe the quality and reliability of data. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Data Governance 88

Data Governance Government Business Analyst Metadata 88

Snowflake

JUNE 4, 2024

New AI governance advancements help organizations better understand, share and secure models. Governed internal collaboration with better discoverability and AI-powered object metadata Snowflake is introducing an entirely new way for data teams to easily discover, curate and share data, apps and now also models (private preview soon).

Government 112

Government Data Ingestion Data PostgreSQL 112

Cloudera

MARCH 23, 2022

The table information (such as schema, partition) is stored as part of the metadata (manifest) file separately, making it easier for applications to quickly integrate with the tables and the storage formats of their choice. Enterprise grade security and data governance – centralized data authorization to lineage and auditing.

Metadata 92

Metadata Data Architecture Machine Learning BI 92

Databand.ai

JULY 19, 2023

However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. In this article: Why Are Data Lineage Tools Important? It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineer 95

Data Engineer Data Engineering Cloud Engineering 95

Confluent

AUGUST 27, 2019

Confluent Schema Registry provides a serving layer for your metadata and a RESTful interface for storing and retrieving Avro schemas. Confluent Cloud Schema Registry in GA comes with production-level support and SLA to ensure that enterprises run mission-critical applications with proper data governance.

Cloud 18

Cloud Kafka Electronics Metadata 18

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Auditing has been setup for data in the metastore. System metadata is reviewed and updated regularly.

Architecture 112

Architecture Transportation Certification Government 112

Cloudera

JULY 17, 2023

The Environmental Health Scorecard We track environment health at the macro level with a dashboard that mirrors our blog series methodology with a few additions. Data Democratization Although we did not blog about data democratization, we find it an important measure of environmental health. Think about that.

Metadata 69

Metadata Government Data Governance Datasets 69

Towards Data Science

MAY 19, 2023

Tech Target , defines a data silo as a repository of data controlled by one department or business unit and, therefore, not wholly or easily accessible by other departments within the same organisation. Absence or poor adoption of company-wide guidelines surrounding the creation and deployment of data products.

Pipeline-centric 104

Pipeline-centric Data Software Engineering Software Engineer 104

Data Engineering Weekly

AUGUST 25, 2024

[link] FourSquare: Modern Data Platform: An Unbundling of a Traditional Data Warehouse When building their data platform, companies face a critical decision: adopt an all-in-one solution from vendors like Databricks, Snowflake, or AWS or compose a custom platform using tools from different providers.

Data Engineer 71

Data Engineer Data Engineering Engineering Database-centric 71

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 85

Data Architecture Architecture Management Banking 85

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Databand.ai

AUGUST 30, 2023

Finally, you should analyze the results of your data performance tests and implement any necessary improvements to your data processing systems and infrastructure. Metadata is data about data, such as data definitions, data lineage, and data quality rules, that helps organizations understand and manage their data more effectively.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. This may include tasks such as data profiling, data cleansing, and metadata management.

Building 52

Building Data Cleanse Data Governance Datasets 52

phData: Data Engineering

DECEMBER 16, 2021

Welcome to part two of our trilogy on data catalogs. If you missed our first blog on what a data catalog is , be sure to check it out! In this blog, we’ll explore what the ideal team to support your data catalog looks like. Who Are the Users of a Data Catalog?

Metadata 52

Metadata Datasets Data Education 52

Data Engineering Weekly

OCTOBER 6, 2024

link] Medium: Learnings from optimising 22 of our most expensive Snowflake pipelines A blog about real-world learning is always a delight to read. Though the blog talks about Superset, every team should strive to adopt a similar framework to manage the lifecycle of their dashboards. “text-to-SQL” and “text-to-insight.”

Data Engineer 63

Data Engineer Data Engineering Engineering Data Warehouse 63