Open Banking, Data Toxicity, Cloud Migration, Data Quality & Cloud, Database Market, Data Processing Costs

  • This week, we begin with an article presenting the thoughts of some top executives on the adoption of open banking, its current position, and how financial institutions are making it a strategic priority.
  • Next, is a story about organizations finding innovative & cost-effective ways of building platforms for not only utilizing data but also preserving privacy & avoiding data toxicity.
  • Then, we have a piece showing the analogy between database migration to the cloud and a heart transplant.
  • Following that, we have an essay focusing on the data quality issues in the cloud and some tips to improve the same.
  • Next, is an analysis of the various databases & the rampant growth of the database market.
  • Lastly, we have a write-up on the need of identifying & removing unnecessary data to eliminate storage waste and reduce their overall data storage requirements leading to less energy use & CO2 emissions.
Open Data Is Key To Shaping The Future Of Hyper-Personalised Banking

Despite presenting tremendous opportunities to improve customer experience and drive accessibility to financial services, innovations around open APIs and open banking also increase interconnectedness and the attack surface, introducing new cyber risks which stakeholders must address by rethinking their approach to network security and focus on the broader ecosystem, experts said during a panel discussion.

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Protect Users And Avoid Data Toxicity

Perhaps few words in the 21st century have been so widely employed, debated and misunderstood as data. At its core, a string of binary digits, data is an encoding intended to capture a piece of reality. In recent years, corporations and governments alike have employed the metaphor that data is the new oil, the very lifeblood of the 21st-century economy.

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Why Migrating A Database To The Cloud Is Like A Heart Transplant

Over the past few years, plenty of organizations have increased their footprint in the cloud and looked to otherwise modernize their IT infrastructure, accelerated by the catalyst of COVID impacts. But migrating databases from an on-premises implementation to a native-cloud implementation can pose a number of challenges that could stall organizations from pulling the trigger on such a move. 

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How To Achieve Data Quality In The Cloud

You’ve finally moved to the Cloud. Congratulations! But now that your data is in the Cloud, can you trust it? With more and more applications moving to the cloud, the quality of information is becoming a growing concern. Erroneous data can cause many business problems, including decreased efficiency, lost revenue and even compliance issues. 

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Why The Database Market Keeps Growing Bigger And Stranger

Quick! Name a technology category that has nearly 400 different options vying for your attention; that pulled in over $80 billion in revenue last year but is actually accelerating in its growth rate; that, decades into its existence, still spawns startups with seemingly bottomless amounts of venture funding; and that drove the most job listings of any programming language last year. If you guessed “database,” you’d be right. 

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Businesses Must Eliminate The Unnecessary Energy Costs Of Data Processing

Between 70% and 90% of the data organizations collect is considered “dark data” — that is, data that is unquantified and untapped. Dark data isn’t turned into insights and business opportunities, yet it still results in unnecessary energy costs. Considering data is growing at an exponential rate, these unsustainable data processing practices are a growing problem.

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