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Data: Lost in Translation

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Whether you are setting up an ongoing integration or preparing for a one-time migration, there will be situations where a ‘single-select’ or a similar field type’s data in one system is not what the other system accepts. The list values may be very similar but not the same in both systems. Contextually as a user you know what values equate to each other, but if they aren’t identical then how do you consistently automate this in your integration or migration?

To do this, we use a method often referred to as a data translation, a lookup, or a cross reference table. Regardless of what it’s called, this method of translating values always follows the same basic structure and principle.

The Structure

To start, you will need a table of data containing at least two columns. Each column represents one of your systems and contains all the selectable options for the ‘connected’ fields from each system. Each row in the table is where you connect the related list value options between the columns. Connecting the related values in the rows is the most important part of the table since this is how you define which values translate to each other.

The Principle

Once you have your table assembled, you are ready to put it to use translating that field’s data between each system. This part often makes more sense with a visual explanation, so let’s start with a basic example scenario.

  • In this scenario we have two systems which we are integrating with each other. We’ll call them ‘System A’ and ‘System B’.
  • Within this integration we are mapping list fields (i.e. drop-down select or single-select) to each other between the two systems. We’ll call them ‘Field A’ and ‘Field B’ respectively.

In the illustration below, we have built our table that connects our list values for the field in each system:

Picture1

Now let’s say our integration were to sync 4 records from ‘System A’ to ‘System B’, and the below list represents the value from ‘Field A’ on each of these 4 records:

Picture2

Our integration would then take the Field A value in each record from System A and find a match in the Field A column of our table we built before. Once that match in the Field A column is found we then take the Field B value from the same row and use that for the new field value that we will sync to the 4 corresponding records in System B. The illustration below illustrates this by showing you the original values from System A on the left and then the new translated values going to System B on the right.

Picture3

The Takeaway

Knowing how to translate your data between systems is exactly like what translators do to communicate a message from one language into another. So, mastering the structure and principle behind translating your data is how you or your integration becomes the translator and ensures that your data never gets lost in translation.

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Source: http://blog.trujay.com/data-lost-in-translation

Blockchain

How did Bitcoin lending become so popular?

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The rising valuation of Bitcoin witnessed the growth of several sectors involved with the digital asset. The crypto lending market has exhibited extraordinary growth as institutions-focused Genesis registered a 245% growth in their outstanding loans in 2020.

While the BTC lending market is young, its swift adoption has created a billion-dollar industry, which is one of the benchmarks of development for the current Bitcoin ecosystem.

Total Bitcoin collateral grew by 1170%

Source: Arcane Research

According to Arcane Research’s recent Banking on Bitcoin report, the total active collateral in the BTC lending market has increased to ~$25 billion from $2 billion in 12 months. It was estimated that the number of Bitcoin used for collateral at the moment is around 420,000 BTC, however, this estimation is based on a modest evaluation that only 50% of the active loans are backed by Bitcoin collateral, whereas various industry experts believe it could be close to 70-80%.

While there are various Bitcoin lending companies in the current market, the impact of the institutional lending organization such as BlockFI and Genesis have been vital.

As mentioned earlier, Genesis’ active loans outstanding improved from $649 million in Q1 2020 to a whopping $3,821 million in Q4 2020. From Q3 to Q4, the growth was roughly 80%.

BlockFi registered similar impressive numbers, with a 50x increase in retail loans BTC collateral from Q4 2018 to Q4 2020; from $10 million to $500 million.

Bitcoin lending’s popularity grows

There are multiple factors that played into the expansion of the BTC collateral market. Over the past 12 months, the asset has received significant recognition after recovering at a rapid rate following the March 2020 crash. However, some of the most common reasons include leveraging on an existing position, arbitrage plays, and covering operation costs without selling any crypto holdings.

Source: Arcane Research

Some of its innate properties have improved over the few months. Bitcoin’s market has a 24/7 availability, which can be traded all year round and it is easily updated. Other assets such as Gold are only trading during the working days of the week, which is close to 30% less than Bitcoin.

Its store-of-value credentials have also improved drastically, with 75% of Bitcoin remaining in profit throughout its history.

However, one of the major reasons involves the ease at which BTC loans can be processed. Traditional loan methods require a certain amount of credit score, a tediously long process, and a lot of paperwork.

With Bitcoin, users do not need to establish a relationship with their banks to get a loan and they can easily lend from the emerging borderless Bitcoin lending market.


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Source: https://ambcrypto.com/how-did-bitcoin-lending-become-so-popular

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Blockchain

OLB Group enables crypto payments for thousands of US merchants

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OLB Group (OLB), a New York-based e-commerce merchant service provider, is making it easier for businesses to accept cryptocurrency payments.

OLB’s more than 8,500 merchants are now able to accept Bitcoin (BTC), Ethereum (ETH), USDC and DAI at the point-of-sale through the company’s OmniSoft business management platform. Customers wishing to pay with cryptocurrency in-store or through their mobile phones can simply elect to do so with their cryptocurrency wallets. All payments are processed through SecurePay, a payment gateway that authenticates the transaction, converts the cryptocurrency to U.S. dollars and approves the final sale.

The decision to integrate cryptocurrency payments was partly driven by the growth of contactless and online orders during the Covid-19 pandemic. With the OmniSoft platform already providing merchants with several options to facilitate payments, cryptocurrencies were the next logical step. 

Ronny Yakov, OLB Group’s CEO, says the payment gateway and point-of-sale architecture are “familiar territory for merchants,” which makes integrating cryptocurrencies through such channels easy.

On the topic of cryptocurrency payments – a promising but underutilized use case for the industry – Yakov believes we are still in the very early stages of adoption.

“It’s very early in crypto-as-a-payment adoption, but we see increasing interest from merchants exploring this payment option as a means to meet their customers however and wherever they prefer,” Yakov tells Cointelegraph.

He also believes certain industries are more likely to adopt crypto payments before others:

“We anticipate that adoption will happen more quickly in higher-ticket transactions such as jewelry, B2B billing and real estate because the transaction fees for cryptocurrency processing are lower – often half of typical credit card fees.”

Cryptocurrencies like Bitcoin have struggled to become a viable medium of exchange, inviting criticism about their utility. Charlie Munger, the billionaire investor and Berkshire Hathaway vice chairman, recently criticizedBitcoin for being “too volatile to serve well as a medium of exchange.”

With development work on scaling and sidechains still in progress, it remains to be seen whether cryptoassets will ever function efficiently as payment systems. In the meantime, assets like Bitcoin and Ethereum are valued for their store-of-value and development capabilities, respectively.

Source: https://cointelegraph.com/news/olb-group-enables-crypto-payments-for-thousands-of-us-merchants

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Blockchain

Litecoin, Monero, Dash Price Analysis: 28 February

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Litecoin witnessed a downwards breakout from a parallel channel and moved to its support at $156.75. Monero was projected to move sideways as trading volumes and buying activity was suppressed. Lastly, a descending triangle emerged on Dash’s chart but a breakout largely depended on the direction of the broader market.

Litecoin [LTC]

Source: LTC/USD, TradingView

On the hourly timeframe, Litecoin broke below its parallel channel and moved to another region of support at $157.5. The On Balance Volume dipped as the price broke below the bottom trendline, but the index was recovering at the time of writing. A bullish crossover in the Stochastic RSI added some more optimism as LTC picked up from the $157 support line.

However, it was hard to overlook LTC’s bear market and stronger cues could be needed to back a move above the immediate overhead resistance. A spike in the 24-hour trading volumes could be one such signal that could project an upwards breakout on the charts.

Monero [XMR]

Source: XMR/USD, TradingView

The 24-hour trading volumes on Monero were muted as the cryptocurrency failed to break out from the $224.5 and $196.3 range. The  Bollinger Bands showed that volatility remained on the lower side as the bands were compressed. This also meant that massive movements were unlikely and XMR could continue to trade within its current channel over the next few sessions.

A bullish twin peak setup on the Awesome Oscillator was negated as momentum tilted in the favor of the sellers at the time of writing.

Dash [DASH]

Source: DASH/USD, TradingView

Dash formed a descending triangle on its 4-hour chart as the price formed lower highs since snapping a local high at over $330. The On Balance Volume also steadily declined as the sell-off was heightened by a correction in the broader market. The Stochastic RSI continued its southbound trajectory after reversing from the overbought region.

Further weakness in market leaders BTC and ETH could continue to have a negative impact on Dash, and support levels at $166.8 and $135.3 could be tested in the event of a downwards breakout. On the flip side, Dash’s pattern could be invalidated if the price moves north on the back of a broader market rally.


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Source: https://ambcrypto.com/litecoin-monero-dash-price-analysis-28-february

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