DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . See the pattern? The problem is not “you.”

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DataKitchen

AUGUST 5, 2021

In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures like data mesh.

Enterprise 246

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Data Virtualization

SEPTEMBER 21, 2023

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

Management 105

Management Data Architecture Data Integration IT 105

DataKitchen

AUGUST 9, 2021

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility.

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DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Pharma Data Requirements.

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DataKitchen

NOVEMBER 29, 2021

Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. The data industry realizes that AI bias is simply a quality problem, and AI systems should be subject to this same level of process control as an automobile rolling off an assembly line. Data Gets Meshier.

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Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It.

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Data Virtualization

AUGUST 19, 2021

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical.

Data Lake 98

Data Lake Data Warehouse Data Analytics Analytics 98

Data Virtualization

AUGUST 19, 2021

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical.

Data Lake 98

Data Lake Data Warehouse Data Analytics Analytics 98

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

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Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

IBM Big Data Hub

JANUARY 26, 2024

Hybrid Cloud Mesh, which is generally available now, is revolutionizing application connectivity across hybrid multicloud environments. Let’s draw a comparison between Hybrid Cloud Mesh and a typical service mesh to better understand the nuances of these essential components in the realm of modern enterprise connectivity.

Optimization 65

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IBM Big Data Hub

FEBRUARY 26, 2024

Obviously, IBM has a huge stake in the success of AI with watsonx™, our AI and data platform with AI assistants. Enterprises continue to adopt edge, hybrid, and multicloud architectures with applications and data assets spread across public and private clouds while also supporting a remote, dynamic userbase.

Revenue Optimization 100

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DataKitchen

MAY 4, 2023

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Data Mesh Bergh explained that the Data Mesh organizes a team’s work into chunks called decentralized domains.

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Ontotext

FEBRUARY 12, 2024

Although the enterprise data landscape is littered with new data technology and offerings, the most pressing problem data teams face today isn’t a lack of technology or skills; it’s not knowing how to create a modern data experience. Why Data Mesh?

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TDAN

FEBRUARY 7, 2024

In the rapidly evolving data landscape, data practitioners face a plethora of concepts and architectures. Data mesh argues for a decentralized approach to data and for data to be delivered as curated, reusable data products under the ownership of business domains.

IT 52

IT Data Architecture Data Warehouse Data Governance 52

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Engage key stakeholders from the start.

Data Quality 69

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Data Virtualization

JANUARY 17, 2023

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.

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IBM Big Data Hub

JANUARY 10, 2024

Outside the data-plane, there are still a lot of complexities that needed to be dealt with, such as lifecycle management of the gateways, certificate rotation, policy administration, and, more importantly, observability. We hope you join us on the journey.

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Enterprise Data Processing Management Technology 69

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Data Architecture Unstructured Data Big Data 108

AWS Big Data

JULY 28, 2023

You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta Lake. In Athena, we refer to queries on non-Amazon S3 data sources as federated queries. Let’s dive into the solution.

Big Data 78

Big Data Data Architecture Data Lake Interactive 78

Data Virtualization

JULY 20, 2023

Reading Time: < 1 minute In this post, I’m going to cover logical data management and its impact on data mesh architectures. But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll.

Management 40

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Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

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Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.

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Data Architecture Data Strategy Strategy Data-driven 88

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world. Mesh or fabric?

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

AWS Big Data

MARCH 26, 2024

We are delighted to announce the release of the Data Analytics Lens. The AWS Well-Architected Framework provides a consistent approach to evaluate architectures and implement scalable designs. What’s new in the Data Analytics Lens? For more information on AWS Well-Architected Lenses, refer to AWS Well-Architected.

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Data Virtualization

NOVEMBER 11, 2021

In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data.

Data Warehouse 52

Data Warehouse Data Architecture Technology IT 52

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

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Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. Data as a product.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

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? What about data fabric?

Data Governance 77

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IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

IBM Big Data Hub

SEPTEMBER 27, 2023

True observability requires observing and analyzing data from all layers of the system, including application metrics, traces, and infrastructure telemetry. Web applications : In web applications, observability revolves around capturing and analyzing data from different layers, such as frontend, backend and infrastructure.

Metrics 75

Metrics Interactive Optimization Data-driven 75

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity. These are challenges that must be assessed and mitigated and ultimately resolved with data. .

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Cost-Benefit Data Architecture Risk IoT 85