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Abstract

e-commerce businesses</figcaption></figure>Key takeawaysLooking at the tools that Raw Vault brings with it, we can easily draw out following benefits –Fully equipped to tackle business changes — Be it a change in the business keys or entity relationships, the isolation of the keys and relationships from the actual data around them makes such integrations hassle freeHandles large data volume and achieves parallelism — One satellite per source enables parallel processing which inturn means load distribution and faster load cycles. Satellites can also be distributed on the basis of change velocity that results in reduced data redundancy.Incremental data onboarding — Onboarding new sources and data points made easier. Data Vault’s design advocates pattern driven development that enables a quick time to business for new requirements.Fail early and rectify fast — With Data Vault, SMEs can identify problems in the source data/model much before reaching the Data Marts.<h1 id="e2c5">Beyond Raw Vault</h1>So far, we’ve spoken about the advantages of implementing the Raw Vault. But, does that mean it doesn’t bring challenges of its own?As a matter of fact, it does. A quick look at the model above and stakeholders often find themselves asking questions like “How do we proceed from here?”, “What about the performance coming out of Raw Vault?”, “Is there a standard for pulling data out of the Raw Vault?”, “Shouldn’t there be a Business Vault, and what does that entail?”These are all valid queries, especially when it comes to constructing a robust and scalable architecture for the organization’s data management strategy. Some of the answers can be found in Business Vault. We’ll take a quick look at how it helps the data flow from Raw Vault to the Marts and if it is even mandatory for a fully compliant Vault implementation.The business vault is an extension of a raw vault that applies selected business rules, de-normalizations, calculations & other query-assistance functions. Business vault too comes with a few standard data extraction approaches as detailed below –PIT tables — PIT tables specifically address the need for denormalization. Denormalization doesn’t just mean stitching together data that’s maintained independently in the source systems, but also getting back data points that were segregated into multiple objects by the virtue of Raw Vault. For example, in the investment sector, one may want to look at not just the basic details around an instrument that they have invested into but also the coupon attached to it, the factors that get

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updated every 10th of the month and/or the ratings provided from various Credit Rating Agencies. On the other hand, denormalization between the Raw Vault objects for daily positions data, that pivots on the relationship between a portfolio and an instrument is inevitable. A PIT table can help tie the data together for a better 360 view of the entities as well as tie the relationship stored in links back to the driving datasets and ready for consumption in the Data Marts.Bridge tables — The concept of bridge tables has been there for a while and just like any typical scenario, these will be created to optimize joins across datasets that are expected to be used together frequently.Satellites with predefined calculations — Quite often, there are some transformations / calculations / aggregations that are a common requirement across multiple user groups and functions. Business vault would be the recommended place to achieve these transformations which makes it available to various data marts.All this being said, is Business Vault a mandatory hop? The answer is no. One can be fully compliant to DV 2.0 and still not have a business vault implemented. We can see that the requirement for a business vault pivots around the complex scenarios that may pop up during the warehouse implementation.<h1 id="0603">Conclusion</h1>To conclude, let us take a moment and look at the factors of Data Vault that may impact the decision making process. Data Vault offers flexibility, scalability, governance and agility. All this, topped with a pattern driven approach for Raw Vault development, inturn results in a high speed delivery. There are frameworks and tools that can fuel the velocity even further (Check out more on Astraa’s MDD framework success story <a href="https://astraa.com/recognition/astraa-revolutionizing-insurance-analytics-with-intelligent-data-solutions/">here</a>).However, we have also seen how data extraction from Raw Vault can be a complex task in itself and may require stakeholders to factor in the implementation of Business Vault during their time and cost estimation. Not to forget, an increased number of objects to be maintained and monitored is an obvious byproduct.These are all very important points to be considered before choosing Data Vault as the warehousing approach. Considering the size of the enterprises is a critical factor too. A small enterprise would be recommended against going through the complexity of a Vault implementation if they have fairly lesser functions/line of businesses.Hope this helps in getting a fair understanding of Data Vault 2.0 and help gauge the impact of it’s implementation.</article></body>

How Did Medium Boost Change My Earnings and Stats?

The story of my first Medium Boost…

To tell the truth, I didn’t even know such a thing existed until I got an e-mail from Medium. I was just writing my articles and keeping track of how much they were read.

Like almost everyone who writes here, of course, I care about being viewed and read. I am trying to write on two different topics related to data science and learning a new language.

If I had known about the existence of such a boost, I would have thought that I would definitely not have it. But these days, I also received that famous e-mail that excited everyone who received it and aroused curiosity in those who did not.

Considering Medium’s boring weekly emails or notifications, this was the most exciting email they ever sent me.

Although I didn’t quite understand what it was at first, I was even more excited by the results I found by browsing the internet a bit.

What is Medium Boost?

I have read too many articles shared by many authors on Medium to answer this question. But most of them were just guesses.

I thought it would be useful to have a look at Youtube, and the video I found was very satisfying. In this video, Zulie Rane invited Medium’s heads of Product and Content to her channel and largely answered everyone’s questions.

As a result of the sources I have read and watched, I can answer the question of what is medium boost by including the most curious thing as follows:

a tool that has an algorithm, which provides 500 to 100000 views to the article within this algorithm, and can double, triple, or more than double the views and reads of the author, depending on the situation.

I think this is the most appropriate definition for the conclusions I have drawn from my observations so far.

What did I do to get Medium Boost?

There is absolutely no right answer to this question. At least for me… But I can sort my closest guesses to the correct answer:

choose your niche wisely
don’t leave your chosen niche,
try to gain followers in line with your niche,
most importantly, try to write a topic that is important in your chosen niche in a unique way.

Although the first three articles I wrote are indirectly related, the most crucial one is the last one. Therefore, it makes more sense to examine this item in depth.

Writing a unique article on a topic in your niche

If you are thinking about how to go about writing a unique article, immediately look for authors who have the same niche as you. Of course, do not forget to carefully determine the subject of the article you will write.

As a data science writer, I’ve noticed that there are very few articles on the hangman game. However, it is an easy-to-code game that even entered the interviews as a subject.

The fact that most of the articles written are not up-to-date, some of them remain in the old version, and the difference in the programming language used pushed me to write this article.

So I designed a simple outline of this game and wrote it as an article. And I think I have reaped the rewards of that.

What I’m about to say here is just a suggestion from something I’ve experienced. I think once you find a topic in your niche, read other articles on that topic.

If possible, make it a less preferred subject. Because the less the subject is written, the more impressive an original and flawless article you write will be.

How much did Medium Boost affect my numbers?

Although many rumors mentioned in Medium excite me, unfortunately, it was not 50x or 100x as many people say.

Normally, I was getting around 70 reads per day. After the boost, these data started to increase gradually. The increase continues at the time of writing this article.

When you look carefully at the image I prepared above, you can interpret that there was an incredible explosion of views and views on the third day of Boost.

By the way, it’s worth mentioning that Boost only affects one of your articles. In other words, this data, which is exciting for me and funny for most authors, can be said to belong to only one of my articles.

How much money did my boosted article make?

My top earning article so far was How to Get 1000 Followers on Medium with $6.18. Of course, this data has now changed!

My top-earning article has been Create Your Own Hangman With Python, as my views and reads increased with Boost.

The current apparent earnings of my boosted article are $9.73. The last boost day is not added to this figure. If this is added, I guess it will be +13$ which is a record for me as you can imagine!

Conclusion

Finally, when we put all the data together, what I can say is Medium Boost made me an average of $13 from a single article and continues to do so.

The working principle of the algorithm has not been clearly deciphered yet. I’m sure it creates a much bigger impact for authors with tens of thousands of followers, reads, and views.

I think the items I listed under the “What did I do to get Medium Boost?” subheading will be very useful (especially the last item).

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