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Data Engineering | Converging data science & data engineering for efficiencies & informed decisions
It’s easy to overlook the amount of data that’s being generated every day — from your smartphone, your Zoom calls, to your Wi-Fi-connected dishwasher.
It is estimated that the world will have created and stored 200 Zettabytes of data by the year 2025. While storing this data is a challenge itself, it’s significantly more complex to derive value from this amount of data.
From 2020 to 2022, the total enterprise data volume will go from approximately one petabyte (PB) to 2.02 petabytes. This is a 42.2% average annual growth over these two years.
You’re likely familiar with the term “Big Data” — and the scale of this market is continuously growing. The big data analytics market is set to reach $103 billion by 2023, with poor data quality costing the US economy up to $3.1 trillion yearly. Fortune 1000 companies can gain more than $65 million additional net income, only by increasing their data accessibility by 10%.
This means it’s business-critical that companies can derive value from their data to better informed business decisions, protect their enterprise and their customers, to grow their business. In order to achieve this, we at Ausom IT with our set of specific skillsets such as data engineers, data scientists, and machine learning engineers tailored to help build data governance and strategy,