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Trino Summit is a two-day virtual conference on the 11th and 12th of December 2024. It's an event that brings together engineers, analysts, data scientists, and anyone interested in using or contributing to Trino.
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We explore how AI and data products are coming together to improve the user experience and to accelerate the delivery of innovative business solutions. Some of these are based on conceptual discussions, and others are based on actual use cases. Early strategic vision is usually painted with some crayons (curiosity and imagination) and watercolors (experience and detail).
Despite innovations in data architecture, infrastructure, and analytics, most organizations today still struggle to realize the promised value of data. Learn how the data mesh principle of data as a product can help, as part of a data mesh initiative or as a stand-alone strategy.
Data mesh has many advantages for organizations that use it to change their business processes towards a decentralized model. We highlight 10 benefits and challenges of data mesh.
A data lake analytics platform is needed in order to bridge the gap between what can be a large number of analytical AI tools with data lakes, lakehouses, legacy systems and other technologies in the ecosystem.
Data engineers have typically functioned as a central hub for engineering tasks. They work with multiple departments and business units across the enterprise. But as the decentralized, data-product-driven architecture of the data mesh approach becomes more popular, and more organizations find themselves on this decentralization journey, what happens to that centralized data team?
If your organization still has centralized massive data lakes, it becomes really, really difficult to shift through that data lake to find out particular data points that need to be extracted to do your reporting. So the only game in town are the principles of data mesh and data products…
I had an opportunity to meet with Vincent in Singapore earlier this year to talk about his work at Red Hat with OS Climate...
The number of unique data vendors has grown, tripling in the past decade (from about 50 to close to 150 today), driven in a large part by massive data stack investments, which total about $245 billion between 2012 to 2021.
Data products can help minimize business disruption during a migration. Migration should take a balanced prioritization approach based on technical and business rationale. Use a data federation approach to create a virtual layer between the source systems and the consumer.
How a data mesh approach impacts different personas across the data supply chain…all of the personas should have equal footing in the early design phase. Obtaining full enterprise commitment requires support at all layers.
As of late, clients have learned about data products by way of data mesh. It’s a concept coined by Zhamak Dehghani as a way...
We have completed several episodes of Data Mesh TV talking to experts about different approaches to managing their data transformation programs. We’ve also met...
At Comcast, after a long data journey, we first implemented data virtualization. Now, we are on our way to build a data mesh using...
Before you begin your data mesh journey, seek advice from a digital transformation leader like Maria José Lopez. That is exactly what we did...
Ladies and gentleman, are you ready to rumble? It’s time to witness a battle royale of epic proportions, data style. Nothing elicits emotion like...
In 2019, Zhamak Dehghani defined a new approach to manage data based on decentralized ownership of data. As a refresher, Data Mesh is based...
Most organizations have data and continue to generate and collect it on a daily basis, but have a far more difficult time in getting...
The increasing popularity of data lakes isn't surprising anyone in the analytics space. The appeal of importing data from multiple sources into a single...
Last week in San Francisco was one for the Trino history books. After three years of planning, rescheduling, planning, and rescheduling some more, Starburst...
At Kin + Carta, we approach Data Mesh beyond the purely technical and architectural angle. Instead, as experts in Data and Product Thinking, we...
Recently we co-authored the book Data Mesh For Dummies, along with our colleague Adrian Estala. We greatly enjoyed writing the book and collaborating to...
With the rising popularity of Data Mesh, risk management and compliance best practices should be integrated when a business adopts this robust data management...
Years ago, the phrase, “Data is the new oil” became very popular. It was a strong statement that affirmed the importance of data. While...
Over the past few years, executives have shown interest in Data Mesh as a potential new solution to their data problems. In fact, out...
Proponents of Data Mesh understand its many game-changing benefits for large scale organizations. For those who are new to this reimagined framework, Data Mesh...
He is a superhero (Master Data), he is The Data Whisperer and he is a very funny guest. Scott Taylor joined us for episode...
Sure, data is valuable, but quantifying that value is difficult for most organizations. In this episode of Data Mesh TV, we discuss how Data...
Long before big data, data management was seen as a formidable opponent and we continue to strive for better ways of having a better...
In our last post, we covered how to determine whether Data Mesh is right for your organization. It was a post that we extended...
Ten years ago, an earlier version of Data Mesh — self-service data infrastructure and data as a product — was implemented at British Telecom...
Data-driven organizations are modernizing and transforming their operating model to exploit new and existing digital capabilities. The transformation imperative is responding to the demand...
As Data Mesh early adopters have gained momentum within their respective organizations and moved beyond what Data Mesh is, now the question that’s asked...
Data Fabric and Data Mesh concepts are front and center for many data-driven organizations and are routinely compared in data management and engineering circles....
The key to success for any company is deriving business value from data in a robust, scalable, and timely fashion. A huge part of...
Discoverable. Understandable. Trustworthy. These are just a few of the key ideas of a Data Mesh infrastructure. Go through all of them and you’ll...
We have been addressing data access challenges for a long time. For many years, the objective was to lock data down. We built layers...
This blog was co-authored by Alex Breshears, Product Manager at Starburst In today’s global economy, it’s impossible to understate the importance of being able...
In the last year, Data Mesh has become one of the most talked-about topics in the data analytics space. As companies struggle to unlock...
Data Fabric and Data Mesh continue to sustain legions of hype and debate. Data and analytics leaders are longing for a new roadmap, beyond...
There is business urgency to deliver data-driven results today. The Data Mesh journey will require a transformational change program (people & process), but getting...
Imagine with us, you are the CDO and you're building strategic alignment to start a Data Mesh program. Executives have read the business case...
In a recent episode of Data Mesh TV, I spoke with Adrian Estala, VP of Data Mesh Consulting Services on quantifying risk. ...
Start off the year right by registering for our two-day virtual conference, Datanova: The Data Mesh Summit. As of late, with the rise of...
Digital transformation reimagines business models by integrating digital capabilities with people and processes. Over the past few years, you’ve made material investments in your...
As we see it, there are six big reasons to sign up for Datanova: The Data Mesh Summit, with our super exciting fireside chat...
Despite the investments and effort poured into next-generation data storage systems, data warehouses and data lakes have failed to provide data engineers, data analysts,...
The self-professed “troublemaker” Zhamak Dehghani, who coined Data Mesh will join us for not one but two sessions! ...
Data Mesh is based on four central concepts, the fourth of which is federated computational governance. In this blog, we’ll explore what that means...
As a former CDO, I know that CDOs and digital transformation leaders are currently refreshing their 2022-25 strategies and looking for new ways to...
Data Mesh is based on four central concepts, the third of which is self-service data infrastructure. In this blog, we’ll explore what that means...
I am increasingly getting asked about Data Fabric vs Data Mesh. They are both emerging paradigms designed to solve a prevalent problem in modern...
According to Gartner’s recent research1, IT budgets are on the rise as companies have a vested interest in technologies aimed at composability. Mastering the...
Despite the investments and effort poured into next-generation data storage systems, data warehouses and data lakes have failed to provide data engineers, data analysts,...
Data Mesh is based on four central concepts, the second of which is data as a product. In this blog, we’ll explore what that...
A data mesh architecture is based on four central concepts, the first of which is domain-oriented ownership. In this blog, we’ll explore what that...
Despite the investments and effort poured into next-generation data storage systems, data warehouses and data lakes have failed to provide data engineers, data analysts,...
You might have heard about Data Mesh recently, which is a modern approach to managing data and analytics in a distributed, domain-driven fashion. At...
Despite the investments and effort poured into next-generation data storage systems, monolithic, centralized data warehouses and data lakes have failed to provide the line...
Many data and analytics practitioners have heard about this socio-technical paradigm shift, Data Mesh, and would like to learn more. But before describing what...
Every five years, a small group of leaders in the data management research community get together to do a self assessment --- what are...
We’re only days away from the biggest data and analytics event in the UK: Big Data LDN. The Starburst EMEA team is more than...
Today’s business forecast: sunny with a 100% chance of data driving our economy. It’s a fact that data leaders and organizations want to make...
Get early access to free early release chapters (including the newly released chapter!) of the O’Reilly book, Data Mesh: Delivering Data-Driven Value at Scale,...
Despite the investments and effort poured into next-generation data storage systems, data warehouses and data lakes have failed to provide data engineers, data analysts,...
As companies shift their analytical ecosystems from on-premise to cloud and try to avoid “data lock-in”, we’re noticing some very interesting data patterns. This...
Despite the investments and effort poured into next-generation data storage systems, data warehouses and data lakes have failed to provide data engineers, data analysts,...
Get early access to free early release chapters (including the newly released chapter!) of the O’Reilly book, Data Mesh: Delivering Data-Driven Value at Scale,...
Microsoft has migrated thousands of customers to its Azure cloud platform and has quickly become the second most popular cloud provider. Companies have easily...
Get early access to free early release chapters (including the newly released chapter!) of the O’Reilly book, Data Mesh: Delivering Data-Driven Value at Scale,...
Thirty years ago it was already commonplace for large businesses to have hundreds --- even thousands of different database instances managing data from the...
The media and telecommunications provider now known as Comcast began as a regional operator with just five channels and 12,000 customers. Today, Comcast has...
Note: I start this piece with some technical background that has nothing to do with the data mesh, and is only relevant to data...
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