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

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). The data is protected but it is also accessible by the people who need it.

Government 79

Government Metadata Data Lake Data 79

Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. This demands the implementation of advanced data integration techniques, such as real-time streaming ingestion, batch processing, and API-based access.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Cloudera

AUGUST 10, 2021

SDX enhancements for improved platform and data governance, including the following notable features: . Impala Row Filtering to set access policies for rows when reading from a table. We expand on this feature later in this blog. Figure 1: sales group SELECT access. x, and 6.3.x, x, and 6.3.x,

Cloud 96

Cloud Kafka Metadata SQL 96

phData: Data Engineering

SEPTEMBER 19, 2023

By employing robust data modeling techniques, businesses can unlock the true value of their data lake and transform it into a strategic asset. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

RandomTrees

FEBRUARY 6, 2024

This can save time and effort for data engineers, and it can also help to ensure that ETL pipelines are more accurate and reliable. Generative AI with Data Lineage: By automating the process of collecting lineage metadata, generating visualizations of data lineage, and identifying and troubleshooting data lineage problems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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’. Spark SQL to access Hive table.

Data Science 109

Data Science Cloud Hadoop Metadata 109

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. . Keep data lineage secure and governed.

Manufacturing 108

Manufacturing Retail Entertainment Government 108

Data Engineering Weekly

JULY 23, 2023

This blog post will delve into these questions, tackle common misconceptions, and give you an intuitive understanding of how to think about GPUs. link] Piethein Strengholt: Data Management at Scale Data Mesh is a widely discussed and debated topic on the possibility of decentralized data management at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Databand.ai

AUGUST 30, 2023

Data Cataloging Data cataloging is the process of organizing and categorizing data assets to make them easily discoverable and understandable for data teams. This enables data teams to quickly and easily find the data they need for their analytics projects. In this article: Why Are DataOps Tools Important?

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Snowflake

JUNE 27, 2023

We’re going to summarize these new capabilities in this blog post. Additional pruning features, now GA, help reduce the need to scan across entire data sets, thereby enabling faster searches. Snowflake delivers these building blocks for data quality monitoring that our partners can further leverage and extend.

Data Governance 57

Data Governance Unstructured Data Government SQL 57

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

MAY 19, 2022

In his seminal 2017 blog post, The Downfall of the Data Engineer , Maxime Beauchemin wrote that the data engineer had the worst seat at the table. When you infer some of Maxime’s original criteria–tedious tasks, low recognition, a lack of authority, and victim of operational creep– the data steward becomes the obvious choice.

Generalist 52

Generalist Data Governance Government Metadata 52

Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. Absence or poor adoption of company-wide guidelines surrounding the creation and deployment of data products. Is it the responsibility of the data product managers?

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

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 82

Engineering Raw Data Data Science Scala 82

Monte Carlo

SEPTEMBER 12, 2022

Reverse ETL tooling enables companies to easily move transformed data from their cloud warehouse out into operational business tools, like a CRM. This new approach empowers business users to access and act on their data, while reinforcing the data warehouse as the source of truth. Maxime says.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Silectis

FEBRUARY 25, 2021

Many practitioners have never had access to data lineage information and may not know what they are missing. Assessing the value of lineage for your team requires defining its scope, understanding the specific benefits it delivers, and putting it in context within the broader architecture of tools used for data management.

ETL Tools 52

ETL Tools Metadata Data Data Engineering 52

Databand.ai

DECEMBER 29, 2022

He has built everything from feature stores, experimentation platforms, metrics layers, and streaming platforms to analytics tools, data discovery systems, and workflow development platforms, and he believes that applying product thinking to holistic data challenges is the only way to make trustworthy decisions at scale.

BI 52

BI Consulting Data Science Data Governance 52

Cloudera

FEBRUARY 16, 2022

Within the CML data service, model lineage is managed and tracked at a project level by the SDX. SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. Figure 03: lineage.yaml.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Monte Carlo

APRIL 1, 2021

But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. Here’s where data catalogs fall short and how data discovery platforms and tools can help ensure your data lake doesn’t turn into a data swamp.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Cloudera

NOVEMBER 10, 2021

One such major change for CDH users is the replacement of Sentry with Ranger for authorization and access control. . For big data platforms like Cloudera’s stack that are used by multiple business units with many users, upgrading even minor versions must be a well-planned activity to reduce the impact to users and business.

Hadoop 74

Hadoop SQL Database Kafka 74

DataKitchen

JANUARY 5, 2021

The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance. For example: Complete toolchain.

Data Governance 59

Data Governance Government Metadata Data Science 59

Monte Carlo

JANUARY 23, 2024

In short, Maxime argues that to effectively scale data science and analytics in the future, data teams needed a specialized engineer to manage ETL, build pipelines, and scale data infrastructure. Nowadays, Maxime suggests, it’s widely accepted that governance is distributed.

Data Engineering 98

Data Engineering Data Engineer Engineering Data 98

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. SECURITY AND GOVERNANCE LEADERSHIP. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

Food 66

Food Healthcare Government Medical 66

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority.

Data Warehouse 52

Data Warehouse BI Government Data 52

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Cloudera

NOVEMBER 12, 2020

Typically, when we talk about data warehousing at an enterprise level on the cloud, one of the biggest concerns is that moving workloads from on-premises to the cloud is not seamless and opens up new risks for data safety and security. How Burst to Cloud can solve your data center pressure. The post Extreme data center pressure?

Cloud 102

Cloud Data Warehouse Banking Data 102

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 83

Data Governance Government Metadata Data Security 83

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects?

Big Data 52

Big Data Project Metadata Programming Language 52

Cloudera

AUGUST 21, 2020

Data lineage, personally identifiable information or PPI and metadata all fall under a broad data governance banner which is critically important in terms of what needs to be protected and mapped out.

Banking 60

Banking Kafka Cloud Storage Government 60

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. All this investment that I was making in this data stack was for naught,” they said. It was very time-consuming.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. All this investment that I was making in this data stack was for naught,” they said. It was very time-consuming.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

MARCH 23, 2022

Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). What is Apache Iceberg? 2: Open formats.

Metadata 88

Metadata Data Architecture BI Machine Learning 88

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 99

Cloud Government Healthcare Metadata 99

Cloudera

DECEMBER 20, 2021

The right set of tools helps businesses utilize data to drive insights and value. But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Winner of the Data Impact Awards 2021: Security & Governance Leadership. You can become a data hero too.

Government 86

Government Data Security Banking Metadata 86