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Gaining insights from data analytics can help companies make better trading decisions and even outperform their competitors. The vast amounts of data that organizations collect can be very valuable, but it can also be challenging. In this context, it is understood as Data Lake. In this article we tell you everything you need to know about Data Lake, its benefits and what you need. Keep reading!

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What is a data lake?

A data lake or data lake is a centralized storage repository that receives large amounts of data from different sources raw in its original format. They are stored like this until they are needed for analysis applications.

I know stay here data warehouse stores data in hierarchical tables and dimensions, a data lake uses a flat architecture to store data. You can store structured, semi-structured, or unstructured data. This means that it can be kept in a more flexible format for future use. When storing data, a data lake associates it with metadata tags and identifiers to more easily locate it.

Elements of a data lake

In general, it only includes the following elements:

• Data ingestion: they support “connectors” and other services that import data from multiple structured and unstructured sources.
• Storage insurance: it must be able to store to protect a large volume of expanding data. The infrastructure that supports it must scale easily and is priced appropriately because it is usually impossible to predict all sources. It also needs to be protected against system crashes and unauthorized access.
• Governance and conservation: companies must decide what data to import and how to manage it. The data must also be cataloged so that professionals can find it. Without governance, data lakes can deteriorate there and become what are known as “data swamps” or “data swamps”. These are stagnant, disorganized pools of data that languish unused and provide little value to the organization.
• Process and analysis: It should support a wide range of analytics tools because professionals will use the data lake for different types of analytics.

Types of data lakes

There are two ways to implement it:

• Cloud data lakes: It is implemented in hardware and software in the cloud of a test and means to access them through the Internet. Most indicate a pay-as-you-go subscription model. As data grows, we simply buy capacity in the cloud. The provider manages security, reliability, data backup, and performance so that we can focus our efforts on determining what data to include and how to analyze it.
• Local data lake: Install and run software to operate servers and storage in a company’s data center. It takes a capital investment to buy software and hardware licenses, and IT expertise to install and manage it. Each company is responsible for managing security, protecting data and ensuring proper operation. You may have to migrate to the data lake you have a larger system as it grows. However, a local system can provide greater profitability for users located in the heart of the company’s premises.

What are the benefits of a data lake?

Data lakes typically store sets of big data which can include a combination of the same data types mentioned above. These environments are not suitable for the relationship foundations that most data warehouses rely on. Relational systems require a rigid schema for data, which typically limits transaction-structured data mapping.

Data lakes featured multiple schemas and do not require any to be defined in advance. That allows you to manage different types of data in separate formats. As a result, it is a key component in the data architecture of many organizations. Our companies primarily use it as a platform for big data analytics and other data science applications that require big data and unintentional advanced technical analysis, such as data mining, predictive modeling, and machine learning.

They provide a centralized location for data scientists and analysts to find, prepare, and analyze relevant data. Without this, that process would be more complicated. It is also more difficult for organizations to make the most of their data assets to help drive more informed business decisions and strategies.

How does a data lake work?

Data lakes import information from multiple sources and store it as raw, unstructured data in a flat file system. Data can be imported in batches or in a continuous stream in real time, depending on the stream.

This can include in-house applications for enterprise resource planning plans like ERP, or customer relationship management plans like CRM. Also from email, web pages, social networks, etc.

The data is grouped into categories for developers to separate what is in the data lake. Professionals will be able to apply analytical tools to identify trends and other relevant information. Organizations can also use machine learning tools, which automatically analyze data to look for patterns.

Differences between data lakes and data warehouses

Both data lake and data warehouse are used to store large amounts of data, but they are not exactly the same.

A data lake is a large amount of raw data, the purpose of which is not yet defined. In return, the data warehouse is a repository of structured and filtered data that has only been processed by a specific proposal.

The two types of data storage are often confused, but they are much more different than they seem. In fact, the only real similarity between them is their storage purpose. For example, the data warehouse architecture only includes a relational database running on a conventional server, such as a data lake only deployed in a big data environment.

What did you think of this article about data lake? Already your comments and share!

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What are the true opportunities of the metaverse and more immersive digital environments, and more specifically for marketers, how will it change the way people shop, interact with brands and advertising approaches?

That’s the focus of a new whitepaper from Analysis Group, in partnership with Meta, which seeks to provide a realistic perspective on where things are headed with the changing metaverse, which may or may not become a tangible and valuable reality for another. decade.

But it is, at least according to Meta, on its way, and that will open up new opportunities.

Firstly, the white paper seeks to define what exactly the metaverse is – an important element considering how many companies are reaping profits from their ‘metaverse-ready’ solutions.

Depending on the role:

“One way to think of the metaverse is as a set of interconnected digital spaces, including immersive XR experiences that blend digital and physical words, where people can easily move between different spaces and experiences, as well as interact and collaborate with others. people who are not in the same physical space.”

I mean, that seems pretty straightforward and in line with the broader definition of the metaverse experience, as we’ve been shown in various promotional mockups from Zuck and Co.

But the practicalities of that are also important: how will we get there and, more importantly, how far away is the next stage of connection?

The answer on that front is that it will take time, and Analysis Group is careful to point out that it may never happen:

“Like many other previously ‘hyped’ technological innovations, the metaverse may never come to fruition as currently envisioned.”

But to become the platform of the future, it will need mass adoption, which means broader adoption of VR headsets, the rollout of AR goggles, and other technologies.

“As with the Internet and other technologies, the shape of the metaverse will materialize slowly at first, and only after critical mass adoption is achieved will its full potential begin to take on more concrete form.”

So he’s not here yet, and he won’t be here for some time. So you don’t need to do ‘everything’ in your metaverse strategy, and you shouldn’t feel compelled to jump on the NFT bandwagon at this point.

It will take time, which means it has time, which, as Meta’s Nick Clegg points out, also means regulators have time and space to institute new rules and frameworks for the evolving space.

“As has been the case throughout the development of the Internet, interoperable standards and protocols will be developed by different people and companies over time, often set by institutions such as the US-based National Institute of Standards and Technology or international multi-stakeholder organizations such as the Internet Engineering Task Force or the World Wide Web Consortium.”

In his essay, Clegg builds on the Analysis Group whitepaper with a call for governments to work together to build a regulatory approach to the evolving space.

“A metaverse that is open and interconnected is not only the right thing to do for users, and something that will involve technical and policy work from industry and regulators, but it is also the kind of thing that could come to distinguish the metaverse in parts of the world that still believe in an open internet from the metaverses built in other parts of the world where a closed internet has been built in recent years.”

Clegg notes that it will take a ‘constellation of technologies, platforms, and products’ to work together to build the metaverse space, and that will likely need some level of outside oversight, because while the Meta would love to own the metaverse, it also knows from experience that he does not want to be the one who establishes the rules in the new space.

Acting now, Clegg says, is key to ensuring we are prepared for the next change. Because again, as detailed in the AG report, we are still developing the building blocks of the next phase.

“The way mobile technology combined existing technologies like phones, the Internet, cameras and mp3 players and evolved to change the way we use the Internet is reminiscent of the path the metaverse seems to be on. Combining existing technologies such as phones, the Internet, cameras, and mp3 players into a single mobile device has fundamentally altered the way we connect to the Internet by overcoming geographical limitations. Existing conceptions of the metaverse have a similar flavor of combining existing technologies, such as AR/VR, video conferencing, multiplayer gaming, and digital currency, and turning them into something new.”

It’s important to keep this in mind, because while people are getting on board with new trends like NFTs, looking ahead, the fact is we don’t know what role these types of items will play in the next metaverse shift.

It’s also hard to take anything definitive from AG’s report on potential value, because, as he points out, he’s not in a position to speculate whether the metaverse will succeed, he’s simply mapping its potential based on past technological advances. But with this comparison in mind, if the metaverse were to grow in the same way that mobile technology has developed, it could become a $3.01 trillion industry by 2031.

There’s a lot to consider here, and a lot to get right. For example, the AG report notes that multiple platforms will need to work together for the metaverse to work.

“For example, a user is required to have an individual account to access a social media app like Twitter or TikTok and an individual account to access a gaming console like Xbox or PlayStation. But in the metaverse, a user would be empowered to consume digital goods and services seamlessly. Andrew Chow of Time magazine supports this view, writing: “Instead of having separate Facebook and Twitter accounts where everything you post is owned by those corporations, you will be able to own your digital personality and all of your ideas and belongings. digital wherever you go. .” For example, a person could purchase a piece of clothing or a digital accessory from one platform and still “wear” it when visiting another platform, rather than that digital good being restricted for use within the platform from which the person bought it initially. ”

That would be an amazing breakthrough, and it’s possible, but Meta is essentially asking regulators to put new rules and systems in place now to make it easier for this to exist. Because the platforms themselves will have little motivation to integrate in this way, unless they have to or the financial benefits of doing so are too great to ignore.

Meta appears to be leaning its momentum towards the former, establishing new rules, which govern all partners in the metaverse, to prevent trade conflicts or rule-setting by certain platforms. Meta has been highly critical of Apple’s restrictions on iOS apps, which is a similar issue to the one you point out here: if regulations aren’t built into the metaverse framework right now, it’s going to be harder and harder to enforce the rules. once any system, and its accepted norms, is in place.

So, essentially, the metaverse is still a long way off, and a lot needs to happen for it to be the universal, interoperable, VR alternative that Meta envisions.

In other words, don’t get too far ahead of the metaverse just yet, and don’t waste your money on the latest trends. Evaluate each one as it arrives, considering if it fits your business. But don’t think that anyone trying to sell you in the metaverse is already here and ready to go brand hunting.

You can read Analysis Group’s full white paper here and Nick Clegg’s long Medium essay on changing the metaverse here.

Amid TikTok’s meteoric rise, one thing it’s been criticized for is its trending amplification without creator credit.

This was specifically highlighted in the platform’s trending dance moves, with creators from black communities, in particular, calling on TikTok to do more to acknowledge the origins of these within the app.

Which it is now looking to do, through the launch of new tools to better allow users to credit trend setters, as well as new educational prompts and videos that explain the importance of the same.

As by TikTok:

“With the launch of these credit tools, creators will have the ability to directly tag, mention and credit a video in their description, showcasing the diverse voices on the platform and the strength of our community. Whether it’s participating in the latest trend, adding a punchline to a joke, or creating the next viral sound, creators can easily and directly quote their inspiration.

As you can see in the example above, the new process will make tagging easier in the publishing process.

Once you’ve uploaded your clip, tap the new “video” icon and you’ll be able to add video tags. From here, you’ll be able to select a video you’ve previously liked, favorited, or posted, or a video that uses the same sound as your upload. The video tag will then be added as a mention in the caption, crediting the original creator and ensuring proper attribution from your clips.

“We are also adding more user prompts for credit throughout the posting process, as well as an educational pop-up that encourages and explains the importance of credit. These features are an important step in our ongoing commitment to investing in resources and product experiences that support a culture of credit, which is critical to ensuring TikTok remains a place for creative expression.

Which would be even better if TikTok offered this on its own, but as noted, the platform has been heavily and publicly criticized for its cultural appropriation across various trends, which is why it’s now taking this step.

Anyway, it’s a positive result, but it would be a bit more progressive if TikTok had implemented such tools on its own initiative.

Maybe it will be a better indicator for future applications and help improve relevant consideration.

We’ll wait and see, but at least now we’ll see more TikTok creators get more in-app credit.

Although if people choose not to credit, they’ll have no more excuses, which could leave TikTok with a few more moderation headaches.

There are obvious signs that a company is being poorly managed, such as declining sales and revenues, the loss of important customers, or a falling share price, for example. Nevertheless, There are many warning signs that go unnoticed. Whether they are obvious or not, addressing them directly and forcefully is the best way to dirty a bad management of a negotiation. In this post we put them on the table.

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