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Data mesh: What it is and why you should care



This article was contributed by Bruno Aziza, head of data and analytics at Google Cloud

“Data mesh” is a term that most vendors, educators, and data pundits seem to have landed on en masse to define one of the most disruptive trends of the data, AI, and analytics worlds.  According to Google Trends, in 2021, “data mesh” overcame the “data lakehouse” that had, until now, been fairly popular in the industry.

Put mildly, if you work in technology, you won’t be able to escape the data mesh in 2022.

Data mesh: a simple definition

The genesis of the data mesh originates from a paper authored in May 2019 by Zhamak Dehghani.  In this piece, the Thoughtworks consultant describes the limits of centralized, monolithic, and domain agnostic data platforms. 

These platforms often take the form of proprietary enterprise data warehouses with “thousands of unmaintainable ETL jobs, tables, and reports that only a small group of specialized people understand, resulting in an under-realized positive impact on the business,” or complex data lakes that are “operated by a central team of hyper-specialized data engineers that [have], at best, enabled pockets of R&D analytics,” according to Dehghani. The latter case is often referred to as a “data swamp,” a data lake where data of all kinds stagnates, goes un-utilized, and is ultimately useless. 

The data mesh intends to offer a solution to these issues by focusing on domain-driven design and guides leaders towards a “modern data stack” to achieve a balance between centralization and decentralization of metadata and data management.  

One of the best explanations and implementations of the data mesh concept I’ve read to date is in L’Oréal CIO Francois Nguyen’s two-part series entitled “Toward a Data Mesh” (Part 1, Part 2).  

If you haven’t read it yet, stop everything and do that now.  There is no better guidance than that of practitioners who test theories into practice and report real-world findings on their data journey.  Francois’ paper is full of useful guidance for how a data mesh can guide your data team’s composition and organization.  “Part Deux” of his blog provides true, tested, and technical guidance on how to implement a data mesh successfully.

Remember that a data mesh is more than technical architecture; it is a way to organize yourself around data ownership and its activation.  When deployed successfully, the data mesh becomes the foundation of a modern data stack that rests on six key principles.  For your data mesh to work, data must be 1) discoverable, 2) addressable, 3) trustworthy, 4) self-describing, 5) inter-operable, and 6) secure.  

In my opinion, a seventh dimension should be added to the data mesh concept: financially responsible and financially accurate.  One of the biggest challenges (and opportunities) of a distributed and modern data stack is the true allocation of resources (and cost) to the domains.  

Many will interpret this comment as a “cloud costs you more” argument.  That’s not what I’m referring to. In fact, I believe that cost shouldn’t be evaluated in isolation.  It should be correlated with business value: if your company can get exponentially more value from data by investing in a modern (and responsible) data mesh in the cloud, then you should invest more.

The biggest issues in this field haven’t been about lack of data or lack of investment.  They have been about value.  According to Accenture, close to 70% of organizations still can’t get value from their data.

Don’t get distracted by the hype

If your ultimate goal is to drive “business value” from data, how does the data mesh concept help you? One of your biggest challenges this year will probably be to avoid getting caught in the buzzword euphoria that surrounds the term. Instead, focus on using the data mesh as a way to get to your end goal. 

There are two key concepts to consider:

The data mesh isn’t the beginning

In a recent piece, my friend Andrew Brust noted that “dispersal is operational data’s natural state” and that “the overall operational data corpus is supposed to be scattered. It got that way through optimization, not incompetence.” In other words, the data you need is supposed to live in a distributed state.  It will be on-premises, it will be in the cloud, it will be in multiple clouds. Ask your team: “Have we taken inventory of all the data we need? Do we understand where it all lays?”  

Remember that, per the original paper by Dehghani, in order for your data mesh to work, your data needs to be “discoverable, addressable, trustworthy, self-describing, inter-operable and secure.” This presupposes that there is a stage before the data mesh stage.  

I have the honor to spend a lot of time with many data leaders, and the best description I’ve heard about what that stage could be is the “data ocean” from Vodafone’s Johan Wibergh and Simon Harris.  The data ocean is wider than the landlocked data lakes concept. It is focused on securely providing full visibility to the entire data estate available to data teams to realize their potential, without necessarily moving it.

The data mesh isn’t the end

Now that we’ve established that the data mesh needs a data foundation to operate successfully, let’s explore what the data mesh leads you to.  If your goal is to generate value from the data, how do you materialize the results of your data mesh?  This is where data products come into play.  

We know that value from data comes from its usage and its application. I’m not referring to simple dashboards here. I’m referring to intelligent and rich data products that trigger actions to create value and protect your people and business.  Think about anomaly detection for your networks, fraud prediction for your bank accounts, or recommendation engines that create superior customer experiences in real time.

In other words, while the data ocean is the architectural foundational required to set your data mesh up for success, the data mesh itself is the organizational model that enables your team to build data products.  If every company is a “data company,” its currency is the “data products” it can output, its repeatability, and its reliability.  This is a concept that McKinsey Analytics coined the “data factory”.

What should you be worried about?

As you read more about the data mesh concept throughout the year, you will most likely hear from three types of people: the disciples, the distractors, and the distorters.

The disciples will encourage you to go back to the original paper or even contact Dehghani directly if you have questions. You can also order her book, which is coming out soon.

The distractors will be pundits or vendors who will want to label the concept of the “data mesh” as a fad or an old trend: “Look away!” they’ll say, “there is nothing new here!” Be careful. Newness is relative to your current state. Go back to the genesis and decide for yourself if this concept is new to you, your team, and your organization.

The distorters will likely be vendors (software, vendors, services) who will get a direct benefit from drawing a straight line from the Dehghani paper to their product, solution, or services. Watch out. As my friend Eric Broda explains in his data mesh architecture blog, “there is no single product that brings you the data mesh.”

The best solution in my opinion is to connect to the practitioners.  Those leaders who have put practice to the theory and who are willing to share their learnings.

Bruno Aziza is head of data and analytics at Google Cloud.

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Seoul court rejects warrants for former Terraform Labs employees and investors over Luna collapse  • TechCrunch



A Seoul court rejected a request from prosecutors for warrants to detain eight people related to Terraform Labs, including the co-founder of Terraform Labs, Daniel Shin, early investors and former engineers.

It’s difficult to believe they would flee or destroy evidence as Shin and the seven other suspects have been cooperating with the investigation, Yonhap News said, citing the Seoul court. In addition, the suspects also need to be guaranteed their rights to defend themselves against the allegations of capital market rules, which is the core accusation of this case, according to the court, per Yonhap

The Seoul Southern District Prosecutors Office told TechCrunch that it is hard to understand that conclusion as the court knows the seriousness of the allegation and the fact that some of the suspects allegedly made money by selling Luna tokens before the collapse. And yet, the court dismissed the warrants, saying the eight people need to have rights to defend their cases against accusations.

Shin is being charged with taking illegal profits worth about $105 million by selling Luna tokens when it was near its all-time high without disclosing this move to investors. It happened before the collapse of the TerraUSD and Luna earlier this year, contravening the Capital Market Act. Prosecutors also suspect Shin used customer data from his separate fintech startup called Chai to promote Luna, violating the Electric Financial Transaction Act. The other seven people involved in Terraform were also alleged to have similar charges.

Shin has denied the claims of trading Luna at a market high and violating the customers’ data. Terraform was founded in Singapore in 2018 by Do Kwon and Shin. Shin left Terraform in March 2020 to found Chai and stepped down as CEO of Chai earlier this year.

South Korean prosecutors began the investigation after the crash of the UST-Luna token earlier this year, which wiped out $40 billion in market value. In September, South Korea issued an arrest warrant for another co-founder, Kwon, whose whereabouts are currently unknown, and requested Interpol, the international law enforcement agency, to issue a red notice for Kwon.

Terraform Labs could not be reached for comment.

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Amazon may lay off 20,000 employees, including managers: Report



Amazonmay lay off about 20,000 employees across divisions as the company reevaluates its pandemic-induced hiring spree, according to a media report.

A Computerworld report stated that the tech giant could lay off employees across the company, including distribution centre workers, technology staff, and corporate executives. Staff at all levels will likely be affected, it found.

Last month, the New York Times reported that Amazon plans to lay off approximately 10,000 people, and “the cuts will focus on Amazon’s devices organisation, including the voice-assistant Alexa, as well as at its retail division and in human resources”.

However, according to Computerworld, the layoffs could impact nearly double the number of employees– roughly 6% of the company’s corporate employees and about 1.3% of its global workforce of more than 1.5 million composed primarily of hourly workers.

YourStory could not independently verify the report.

Corporate staff have been told that employees will receive a 24-hour notice and severance pay, in accordance with their company contracts, the Computerworld report noted. “There is a sense of fear among employees in the company as the news has come out,” the report added, quoting a source who was informed directly about the layoff effort.

The layoffs would be the largest staff reduction in Amazon’s history.

“There is no specific department or location mentioned for the cuts; it is across the business. We were told this is as a result of over-hiring during the pandemic and the need for cost-cutting as the company’s financials have been on a declining trend,” the source told Computerworld.

After the New York Times report, Amazon Chief Executive Officer Andy Jassy shared some information about role eliminations in a note. Jassy confirmed that layoffs were occurring, though he did not specify the planned number of employees to be laid off.

“Our annual planning process extends into the new year, which means there will be more role reductions as leaders continue to make adjustments. Those decisions will be shared with impacted employees and organisations early in 2023,” Jassy wrote in the message, noting that Amazon had already communicated that layoffs would occur in the Devices and Books businesses, and would be extending a voluntary reduction offer for some employees in the People, Experience, and Technology (PXT) organisation. 

“We haven’t concluded yet exactly how many other roles will be impacted (we know that there will be reductions in our Stores and PXT organisations), but each leader will communicate to their respective teams when we have the details nailed down,” Jassy noted.

Meanwhile, the Computerworld report noted that employees on Amazon’s robotics team have been laid off.

Amazon’s muted third-quarter earnings as well as disappointing fourth-quarter projections led the company’s stock to plummet. Its third-quarter earnings were severely impacted by unpredictable consumer shopping habits and inflation. 

Amazon is likely to lay off several employees in India across divisions, according to media reports. Last month, Amazon confirmed that it will shut down its wholesale unit Amazon Distribution. This is the third business unit to be closed after the e-commerce giant announced the wrapping up of Amazon Academy and the food delivery business in India.

Globally, tech companies have announced layoffs as part of their cost-cutting efforts. In November, Meta CEO Mark Zuckerberg announced that the company had decided to reduce the size of its team by about 13%, cutting over 11,000 jobs. In the same month, Elon Musk reduced half of Twitter’s workforce or about 3,700 jobs at the social media firm.

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Unlock The Entrepreneurial Potential Of Your Team With Employee-Ownership



A strong team of many outperforms even the most hardworking of entrepreneurs on their own. But when hiring employees, freelancers and contractors, how do you ensure they have the same entrepreneurial skills and drive that you do as your company’s owner? Is it unrealistic to expect employees to be motivated and committed to an organisation they didn’t found?

Nicki Sprinz thinks she has cracked the code of unlocking the entrepreneurial potential of your team, and the answer lies in employee ownership. Sprinz is managing director of B-Corp certified ustwo London, a company of over 200 employees, and cofounder of Ada’s List, an 8000-strong community designed to support women working in the tech industry. ustwo has recently become employee-owned and has already seen the benefits of breaking down the distinction between owners and employees.

According to the Employee Ownership Association, this way of working can improve productivity, support more resilient regional economies and empower team members, resulting in them being far more engaged. Sprinz explained the main benefit for entrepreneurs of this model along with practical tips for managing directors and company founders to make the transition to becoming employee-owned.

Employee ownership protects the company

“Being employee-owned means existing team members, who are now partners, feel empowered as owners,” said Sprinz. She believes that this encourages everyone to put in the work to uphold a strong company culture and course-correct if they see anything awry.

Whilst this might not happen automatically, a founder can make it more likely that their team upholds the vision. Sprinz has put frameworks in place to ensure everyone has a voice. “We hold open firesides, have elected partner representatives on the board, and ensure there are regular channels of communication for all team members to be part of growing the culture and living the values,” she said.

Keeping the team on board means protecting the company. “There are no surprises about the direction we are taking with the business,” explained Sprinz. “We involve everyone in the decisions we make on our projects and ensure we are accountable, both commercially and ethically.”

Attract and retain top talent

In a competitive market, how does your company attract and retain the best talent in the world for the benefit of your clients? Employee-ownership could be the solution. Not only does it make job listings stand out, but it attracts individuals who are like-minded and think long term. They are committed to a future with whichever company they choose to join and are prepared to push themselves to make it happen.

“High quality potential recruits and employees are interested in values and purpose,” said Sprinz. “Being able to talk about employee ownership helps you stand out in a tough hiring market. We have several interview stages so a candidate can get to know us as well as we’d like to know them.”

Sprinz’ interview stages aim to weed out “cultural and value mismatches that ultimately lead to an unfulfilled team.” They ask candidates multiple questions about their values and examples of them in practice, and they encourage candidates to probe with questions about ustwo. They also “publicise the salary for all open roles and candidates have the opportunity to meet other members of the team,” she added.

Control quality

When scaling a business, ambitious entrepreneurs cannot afford to let quality slip. Growth at all costs is a false economy that ends with the business back at square one and having to work harder to undo reputational damage. “A more entrepreneurial team ensures quality stays high,” explained Sprinz. Not only do your team members care deeply about the work they do, they also know they benefit from company growth, so they are incentivised to keep raising the bar.

“If your team is invested in the long term financial success of the company, they also feel pride that their work contributes to overall success,” said Sprinz. “They respond by raising the bar on their work.” Sprinz also believes that, “Regular transparent sharing of financial results and metrics maintains dialogue on personal and company impact.”

Direct the future

An employee-owned company has options for the future. The owner might one day want to step aside or sell, and the company’s succession plan will already be in place. In the meantime, the company has hit new heights and progressed with new ideas because its foundations are solid.

Like Maslow’s Hierarchy of Needs, you cannot reach self-actualisation without warmth and shelter, and a company cannot break through ceilings with constant recruitment issues. When team members are bought into the company, they are bought into its future too, making more certain outcomes for everyone involved.

“The partner representatives on the board surface the priorities of the rest of the team and ensure the conversations of the board are directed accordingly,” explained Sprinz. “The representatives are actively part of the bigger picture and playing a huge part in shaping the company’s future.”

Unlock the entrepreneurial potential of your team by exploring employee ownership, advised Sprinz. The best people will be proud to tell their friends that they are part-owners of the place they work. They will feel valued and listened to and respond with their effort and devotion. Could employee ownership be the right step forward for you?

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