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

Snowflake

APRIL 29, 2024

The Snowflake Data Cloud can be a valuable tool for FEs to achieve compliance with DORA and strengthen their overall operational resilience through robust security and advanced data management capabilities. This prioritizes security measures and simplifies data discovery. How can Snowflake Help?

Transportation 83

Transportation Data Governance Government Consulting 83

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 102

Cloud Data Warehouse Banking Data 102

Databand.ai

AUGUST 30, 2023

Poor data quality: The lack of automation and data governance in legacy architectures can lead to data quality issues, such as incomplete, inaccurate, or duplicate data. They include the various databases, applications, APIs, and external systems from which data is collected and ingested.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

MARCH 22, 2023

These pillars and the metrics they provide are closely linked to the data governance capability CDP’s Shared Data Experience (SDX) delivers, and are surfaced in the data catalog. SDX continually captures and manages both the active and passive metadata for data assets and the processes that work on them.

Data Governance 85

Data Governance Government Business Analyst Metadata 85

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

Cloudera

JUNE 7, 2023

Agencies should inventory, categorize, and label data; protect data at rest and in transit; and deploy mechanisms to detect and stop data exfiltration. Agencies should carefully craft and review data governance policies to ensure all data lifecycle security aspects are appropriately enforced across the enterprise.”

Government 79

Government Metadata Data Lake Data 79

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

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. 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.

Data Architect 87

Data Architect Certification Generalist Big Data 87

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. With that background information in mind, we’re ready to take a look at some actual tools and properly uncover what’s the best data catalog for your business. Where is your metadata stored?

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

Metadata 130

Metadata MongoDB Scala MySQL 130

Monte Carlo

SEPTEMBER 12, 2022

Now, according to Maxime, a new trend is emerging that could have a similar effect on data engineering workloads: reverse ETL. Reverse ETL tooling enables companies to easily move transformed data from their cloud warehouse out into operational business tools, like a CRM. Maxime says.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Cloudera

MAY 12, 2021

HYBRID & MULTI-CLOUD INNOVATION. If you are working in an organization that is driving business innovation by unlocking value from data in multiple environments — in the private cloud or across hybrid and multiple public clouds — we encourage you to consider entering this category. SECURITY AND GOVERNANCE LEADERSHIP.

Food 66

Food Healthcare Government Medical 66

Cloudera

FEBRUARY 16, 2022

Each workspace is associated with a collection of cloud resources. In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Figure 03: lineage.yaml.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. ” NetApp provides a more robust definition of data fabric as “an architecture and set of data services that provide consistent capabilities across hybrid, multi-cloud environments.” See below. .

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Furthermore, Apache Ranger now supports Public Cloud objects stores like Amazon S3 and Azure Data Lake Store (ADLS). Since CDP Private Cloud Base 7.1.5, Why switch to Ranger? as a tech preview.

Hadoop 74

Hadoop SQL Database Kafka 74

Cloudera

AUGUST 21, 2020

One is data at rest, for example in a data lake, warehouse, or cloud storage and from there they can do analytics on this data and that is predominantly around what has already happened or around how to prevent something from happening in the future.

Banking 60

Banking Kafka Cloud Storage Government 60

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

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

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 99

Cloud Government Healthcare Metadata 99

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). 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture BI Machine Learning 88

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

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 82

Data Architecture Architecture Management Banking 82

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. 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

Towards Data Science

MAY 19, 2023

If you are a data practitioner in today’s flourishing data ecosystem and are asked by a peer or a business stakeholder to describe your data platform, I imagine you would use a combination of the following words: modern / cloud-based, modular, constantly evolving, flexible, scalable, secure, etc.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Cloudera

MARCH 6, 2018

People are gravitating to the analytics services of the large public cloud providers because the “house-brand” offerings seem to be the easiest choice. Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security. But these offerings are not integrated.

Cloud 40

Cloud Metadata Big Data AWS 40

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. And the tools for acting on data are consolidating: Tableau does data prep, Altreyx does data science, Qlik joined with Talend, etc. And their business customers want more data trust.

Metadata 52

Metadata BI Government ETL Tools 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 82

Engineering Raw Data Data Science Scala 82

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. CDP Private Cloud Base offers 3 levels of security that implement these features. Characteristics. Non-secure.

Architecture 107

Architecture Transportation Certification Government 107

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

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Get in touch now to learn how we can help you achieve yours.

Government 56

Government Data Governance Data Science Machine Learning 56

ProjectPro

JANUARY 31, 2022

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 52

Architecture IT Data Warehouse Amazon Web Services 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

Snowflake

JUNE 27, 2023

We’re going to summarize these new capabilities in this blog post. These customers span many countries around the world and, as such, we’ve expanded classification capabilities to support UK-, Australia-, and Canada-based data (in private preview).

Data Governance 57

Data Governance Unstructured Data Government SQL 57

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 122

Architecture Metadata Government Kafka 122

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 90

Data Engineering Data Engineer Cloud Engineering 90