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 can we interoperate between the data domains ? How do we govern all these data products and domains ? It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform.

Architecture 130

Architecture Technology Google Cloud Metadata 130

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

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. One possible solution is to adopt a hybrid cloud strategy. .

Data Governance 96

Data Governance Government Metadata Medical 96

Cloudyard

DECEMBER 7, 2023

Secure data sharing, which encompasses External tables, Dynamic tables, Secure views, Secure materialized views, Secure UDFs, and Tables, is well-known for its restrictive access. Listing in Consumer Click on Get and it will start replicating the data from provider Account.

Metadata 52

Metadata SQL Data Cloud 52

Cloudera

AUGUST 3, 2021

In recent years the Cloud has been seen as a solution and panacea for many companies digital transformation strategies. However a recent Andereessen Horowitz study has shown that while the Cloud is a viable solution for start-up, expanding and emerging use cases, its true cost on market capitalization is vastly underestimated.

Manufacturing 108

Manufacturing Retail Entertainment Government 108

Data Engineering Podcast

FEBRUARY 6, 2022

In this episode Will Thompson explores the many ways that sensitive data can be leaked, re-identified, or otherwise be at risk, as well as the different strategies that can be employed to mitigate those attack vectors. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Data Pipeline 100

Data Pipeline Data Metadata Software Engineer 100

Data Engineering Podcast

FEBRUARY 13, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. You can observe your pipelines with built in metadata search and column level lineage.

Building 100

Building Hadoop Data Pipeline Metadata 100

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. It works in both directions.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Netflix Tech

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. How can we automatically provision or de-provision access privileges?

Cloud 73

Cloud Building Amazon Web Services Metadata 73

AltexSoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

MARCH 3, 2021

When it comes to managing your company’s data, security is high on your list of priorities. Today, I’m thrilled to share that Monte Carlo has achieved SOC 2 Type I certification , an industry-leading standard for the security, availability, and confidentiality that our organization adopted. What does this mean for you?

Metadata 52

Metadata Data Lake Business Intelligence Certification 52

Knowledge Hut

APRIL 20, 2023

The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access. It is a tool used by businesses to protect their data, manage who has access to it, who oversees it, and how to make it available to staff members for everyday usage.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

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

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, Azure's growing popularity in the market makes it a strategic choice for those looking to enter the world of data engineering. Azure currently stands as the second-largest vendor of cloud services, solidifying its position as a platform worth investing in for aspiring Azure data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 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

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

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

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

APRIL 23, 2021

The capability increases security and protects sensitive data from various kinds of attack that could be internal or external to the platform. Access to HDFS data can be managed by Apache Ranger HDFS policies and audit trails help administrators to monitor the activity. HDFS Encryption prevents access to clear text data.

MySQL 69

MySQL Java Bytes Data 69

Rockset

MARCH 18, 2024

That’s why we’re thrilled that Confluent Cloud is making it easier to use Flink, providing efficient and performant stream processing while saving engineers from complex infrastructure management. LLMs like ChatGPT are trained on vast amounts of text data available up to a cutoff date. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Cloudera

MAY 2, 2022

There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure. But increasingly at Cloudera, our clients are looking for a hybrid cloud architecture in order to manage compliance requirements.

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. Retrofitting existing solutions to ever-changing policy and security demands is one option.

Government 86

Government Data Security Banking Metadata 86

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 90

Google Cloud Cloud Amazon Web Services Cloud Storage 90

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 88

Data Warehouse Cloud Government Metadata 88

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. We do it today when data is even bigger, and hybrid — and clouds — are expensive. This is unique.

Database 88

Database Cloud Systems Management 88

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 83

Data Governance Government Metadata Data Security 83

Cloudera

NOVEMBER 5, 2020

How do you control data privacy and protect against data breaches when the data is spread across so many different systems? How do you optimize your enterprise-wide infrastructure (mostly cloud) and application expenditures? Main Security Features. IDBroker — identity federation, cloud credentials.

Cloud 70

Cloud Data Lake Data Warehouse Metadata 70

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.”

Government 130

Government Data Governance Data Metadata 130

Snowflake

JANUARY 22, 2024

For the past few years, Fidelity Investments has been moving a significant percentage of its applications to a cloud-based infrastructure. Fidelity’s data scientists use the AI/ML-enabled Enterprise Analytics Platform to process a large volume of structured and unstructured data for deeper insights and better decision-making.

Engineering 62

Engineering Data Lake Unstructured Data Metadata 62

Monte Carlo

MARCH 18, 2021

With more and more data being ingested and stored by your company than ever before and increased scrutiny around how this data is accessed and used, layering in any type of new third-party solution to your existing data infrastructure implicitly comes with its fair share of security concerns.

Architecture 52

Architecture Metadata Software Engineer Software Engineering 52

AltexSoft

MARCH 2, 2023

Data quality involves storing data in its correct and consistent form. Here’s a deep dive into data quality management and tools. Data availability is responsible for making data accessible to appropriate personnel within the system. Learn more about data integrity in our dedicated article.

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

NOVEMBER 17, 2022

With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. The Solution: CDP Private Cloud brings a next-generation hybrid architecture with cloud-native benefits to HBL’s data platform.

Banking 82

Banking Management Data Lake Professional Services 82

Cloudera

OCTOBER 5, 2021

Cloudera Data Platform (CDP) supports access controls on tables and columns, as well as on files and directories via Apache Ranger since its first release. The RMS was included in CDP Private Cloud Base 7.1.4 as tech preview and became GA in CDP Private Cloud Base 7.1.5. . What is Ranger RMS? How does it help?

Hadoop 91

Hadoop SQL Database Accessible 91

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. Consistency in unified data governance is also essential, according to Seiner.

Data Governance 69

Data Governance Government Datasets Programming 69

Cloudera

APRIL 21, 2022

But thanks to cloud services and a next-generation electronic health-care record (EHR) system that has taken more than two decades to develop and deploy, human error has been cut drastically and a system has finally evolved from paper-based to near real-time. The DoD’s budget of $703.7 About 15% of that amount will involve health care.

Electronics 84

Electronics Medical Hospitality Insurance 84

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. Real-time access.

Process 69

Process Data Lake Metadata Data Warehouse 69