Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Government Insurance Metadata 100

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

Precisely

FEBRUARY 26, 2025

If pain points like these ring true for you, theres great news weve just announced significant enhancements to our Precisely Data Integrity Suite that directly target these challenges! Then, youll be ready to unlock new efficiencies and move forward with confident data-driven decision-making.

Data Integration 64

Data Integration Data Management Management Data Governance 64

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

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. They are free to choose the infrastructure best suited for each workload.

Metadata 84

Metadata BI Data Lake Government 84

Data Engineering Weekly

MARCH 5, 2025

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., Maintenance Processes: Operations that optimize Iceberg tables, such as compacting small files and managing metadata. Trino, Spark, Snowflake, DuckDB).

Hadoop 58

Hadoop Metadata Data Ingestion Data Governance 58

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 NoSQL Healthcare 40

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

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. The SDX layer of CDP leverages the full spectrum of Atlas to automatically track and control all data assets.

Data Governance 97

Data Governance Government Metadata Banking 97

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure.

Cloud 104

Cloud Government Metadata Healthcare 104

ProjectPro

JUNE 6, 2025

They handled the arrival of Big data with ease. They could efficiently store structured, semi-structured, and unstructured data from multiple sources. Cloud-based data lakes like Amazon's S3, Azure's ADLS, and Google Cloud's GCS can manage petabytes of data at a lower cost.

Data Lake 63

Data Lake Data Warehouse Metadata BI 63

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? How do we govern all these data products and domains ? In this stage, you will never think about the configuration.

Technology 130

Technology Architecture Google Cloud Metadata 130

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

Cloudera

AUGUST 26, 2021

The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+. In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. Data ingestion through ‘s3’.

Data Science 113

Data Science Cloud Hadoop Metadata 113

Snowflake

NOVEMBER 11, 2024

Implement better data governance by easily tracking and handling sensitive data The Lineage Visualization Interface (public preview) allows customers to easily track the flow of data and ML assets with an interactive interface in Snowsight.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Cloudera

AUGUST 10, 2021

With the release of CDP Private Cloud (PvC) Base 7.1.7, We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . Figure 8: Data lineage based on Kafka Atlas Hook metadata. x, and 6.3.x,

Cloud 97

Cloud Kafka Metadata SQL 97

Snowflake

NOVEMBER 2, 2023

Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon.

Government 131

Government Metadata AWS Data Governance 131

ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Metadata Layer 3. Data Layer What are the main use cases for Apache Iceberg? It maintains references to the latest metadata file for each table.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

Precisely

DECEMBER 8, 2023

Together, these forces have pushed companies to accelerate the shift to technologies like Cloud, AI, and workflow automation. In the context of this change, business leaders recognize the pressing need for data-driven decision-making. As you strive to achieve higher levels of data integrity, data governance becomes imperative.

Data Governance 69

Data Governance Government Consulting Programming 69

ProjectPro

JUNE 6, 2025

Data engineering is the foundation for data science and analytics by integrating in-depth knowledge of data technology, reliable data governance and security, and a solid grasp of data processing. Data engineers need to meet various requirements to build data pipelines.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Snowflake

FEBRUARY 2, 2023

During a cloud migration to Snowflake’s Data Cloud, businesses often struggle to know what data they have on premises, what they should migrate, and in what order. And because of this, many organizations fall into a “lift and shift” approach, where everything is simply copied over—as it messily stands—to the cloud.

Cloud 98

Cloud Data Data Governance Government 98

ProjectPro

JUNE 6, 2025

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud! Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

Confluent

AUGUST 27, 2019

We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Before we dive into Confluent Cloud Schema Registry, let’s recap what Confluent Schema Registry is and does.

Cloud 18

Cloud Kafka Electronics Metadata 18

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution.

Cloud 104

Cloud Data Warehouse Banking Metadata 104

Edureka

MAY 27, 2025

Data Governance Data Management Data Lineage Fabric allows users to track the origin and transformation path of any data asset by automatically tracking data movement across pipelines, transformations, and reports.

Architecture 52

Architecture BI Data Lake Government 52

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. The Rise of Cloud-Based Computing Pivotal changes can often be abrupt and unsettling.

Cloud 72

Cloud Cloud Computing Data Governance Metadata 72

Ascend.io

DECEMBER 4, 2024

With intelligent data pipeline tools, data teams can automatically optimize their data pipelines to reduce costs by up to 67%. Scalability: Implement scalable solutions to accommodate growing data volumes. Leveraging cloud-based platforms and distributed computing can help handle large datasets efficiently.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Cloud Speed and Scale. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Engineering 95

Data Engineering Data Engineer Cloud Engineering 95

ProjectPro

JUNE 6, 2025

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

As per your business needs, choose relevant ETL processes for accurate data, and rest assured that you are on the right track. Defining Metadata Metadata is data that describes other data. It is an essential data warehouse component, providing information about the data's structure, content, and usage.

Data Warehouse 40

Data Warehouse Designing Metadata Business Intelligence 40

RandomTrees

SEPTEMBER 17, 2024

The Unity Catalog is Databricks governance solution which integrates with Databricks workspaces and provides a centralized platform for managing metadata, data access, and security. Improved Data Discovery The tagging and documentation features in Unity Catalog facilitate better data discovery.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

ProjectPro

JUNE 6, 2025

Data Lake Architecture- Core Foundations Data lake architecture is often built on scalable storage platforms like Hadoop Distributed File System (HDFS) or cloud services like Amazon S3, Azure Data Lake, or Google Cloud Storage.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

However, this does not mean just Hadoop but Hadoop along with other big data technologies like in-memory frameworks, data marts, discovery tools ,data warehouses and others that are required to deliver the data to the right place at right time. Apache Ranger renders centralized security administration for hadoop clusters.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 6, 2025

Databricks: Overview Azure Synapse is a limitless analytics service that combines big data analytics , data integration, and enterprise data warehousing into single unified platform. When it comes to databricks architecture, it is not entirely a data warehouse. Databricks architecture is not entirely a data warehouse.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

ProjectPro

JUNE 6, 2025

In a model registry, each model is typically accompanied by model metadata, such as its version, description, author, creation date, performance metrics, and dependencies. Governance and Compliance In regulated industries or organizations with strict data governance requirements, a model registry plays a critical role in ensuring compliance.

Machine Learning 40

Machine Learning Project Building Metadata 40

Snowflake

MAY 9, 2025

This complexity necessitates a shift toward automated, AI-driven solutions that simplify security governance and accelerate threat detection. This will provide joint customers with a more seamless and consistent way to apply and implement their data governance policies.

Metadata 98

Metadata Data Governance Government Data Security 98

Monte Carlo

DECEMBER 12, 2024

In this article, Ill propose a playbook you can deploy to get your team aligned, your data ready, and your stakeholders on the same page. Step 1: Get to the cloud If your data stack isnt already on the cloud whether thats Snowflake, Databricks, or some other warehouse/lake/lakehouse solution the time to get there was yesterday.

Government 52

Government Data Cloud Data Lake 52