Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. – From a recent episode of the TWIML AI Podcast.

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Data Governance Government Machine Learning Data Science 73

Hevo

APRIL 26, 2024

Efficient data management is a crucial part of an enterprise’s success. Data architecture helps streamline data management and workloads. It also enables you to establish a data governance framework that improves the data quality and gives useful business insights.

Architecture 40

Architecture Database Data Governance Data Architecture 40

Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

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Telecommunication Data Governance Government Portfolio 78

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.

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Data Governance Government Metadata Data Security 85

Cloudera

SEPTEMBER 23, 2022

The advantages provide the foundation for the modern data lakehouse architectural pattern. Cloud storage is versioned as well, and should you inadvertently delete important data the SaaS CDP One ops team can quickly recover it for you. Finally, cloud computing adds low cost and high resiliency to these services.

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Data Governance Government Amazon Web Services Cloud Computing 107

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

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Telecommunication Data Architecture Architecture Government 84

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 84

Data Architecture Architecture Management Banking 84

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

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. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Metadata Government Kafka 124

Monte Carlo

MAY 24, 2024

The data team also appreciates being able to not just deploy Databricks governance as code, but Monte Carlo monitors as code as well. It has also helped them detect anomalies across their medallion architecture. Monte Carlo catches those and helps us resolve them much quicker,” said André.

Government 52

Government Data Governance Data Datasets 52

Striim

FEBRUARY 12, 2024

Self-serve Data Infrastructure: Allows all members of the organization to access and use data easily, removing any technical obstacles. Federated Computational Governance: Applies data governance where data is stored, balancing standards with domain-specific needs. Try Striim Cloud for free for 14 days!

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

Striim

AUGUST 31, 2023

Kappa Architectures are becoming a popular way of unifying real-time (streaming) and historical (batch) analytics giving you a faster path to realizing business value with your pipelines. Kappa Architecture combines streaming and batch while simultaneously turning data warehouses and data lakes into near real-time sources of truth.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

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. Security Architecture Improvements.

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Architecture Transportation Certification Government 110

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

The Modern Data Company

FEBRUARY 26, 2024

Data, the lifeblood of its operations, was becoming increasingly complex and unwieldy. With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Evolutionary architecture embodies this principle.

Architecture 52

Architecture Data Architecture Data Technology 52

Data Engineering Podcast

MAY 18, 2024

Firstly, what are data agents and why do you think they're important? How are data agents different from chatbots? Are data agents harder to build? What other technical architectures have you had to develop to support the use of AI in Zenlytic? Firstly, what are data agents and why do you think they're important?

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Building Data Lake High Quality Data Business Intelligence 278

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

Architecture 52

Architecture Database-centric Process BI 52

Monte Carlo

DECEMBER 20, 2023

Monitoring for bad data is like fishing. So what is the optimal data observability architecture or data quality coverage strategy? Each company organizes their data and business slightly differently so the answer will vary, but there are some guiding principles to follow.

Architecture 40

Architecture Data Datasets Machine Learning 40

Data Engineering Podcast

FEBRUARY 18, 2024

Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. To start, can you share your definition of what constitutes a "Data Lakehouse"? Want to see Starburst in action?

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Data Lake High Quality Data Data Warehouse Google Cloud 262

databricks

JULY 5, 2023

This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.

Data Governance 67

Data Governance Government Architecture Engineering 67

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. What do we mean by ‘true’ hybrid? Let’s dive deeper.

Cloud 96

Cloud Data Governance Unstructured Data Data Architecture 96

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Data Engineering Podcast

APRIL 28, 2024

Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. Want to see Starburst in action? The past few months have seen an endless series of personalized AI tools launched. Want to see Starburst in action?

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

MAY 5, 2024

Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. What are the practical/architectural methods necessary to build more cognitive AI systems? Want to see Starburst in action?

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

APRIL 21, 2024

Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. Want to see Starburst in action? Want to see Starburst in action?

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Data Engineering Podcast

DECEMBER 24, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Data Engineering Podcast

DECEMBER 31, 2023

Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. How does that influence the architectural design/capabilities for data platforms in those organizations? Want to see Starburst in action?

Designing 130

Designing Data Lake High Quality Data SQL 130

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Confluent

NOVEMBER 18, 2020

This blog post presents the use cases and architectures of REST APIs and Confluent REST Proxy, and explores a new management API and improved integrations into Confluent Server and Confluent […].

Architecture 122

Architecture Kafka Management Data Governance 122

Cloudera

JULY 29, 2022

Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. . This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 86

Data Architecture Architecture Unstructured Data Government 86

Data Engineering Podcast

JANUARY 21, 2024

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. How has that changed the architectural approach to CDPs? Want to see Starburst in action?

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Data Engineering Podcast

FEBRUARY 25, 2024

Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. Can you start by describing the FDAP stack and how the components combine to provide a foundational architecture for database engines?

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Database Technology Data Lake High Quality Data 162