Data Engineering Drivers in Building Reliable Data Lakes

As we know that now a days businesses are going through unprecedented change and disruption and data is the most important business asset for these organisations which must be audited and protected because it plays a key role in helping organisations make better decisions to get the meaningful insights in their business. While data teams are generally growing, business demand for information and insights continues to surge much faster then Data engineering is the key to unlocking all other data-driven workflows.

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Data Engineering Drivers in Building Reliable Data Lakes
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Rise of Advanced Analytics
Through the use of AI and predictive analytics, any organizations can take big, seemingly random data sets and organize them to uncover hidden patterns and trends. This improves an organization’s access to information throughout an investigation, as traditionally this information is documented on a whiteboard.
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Widespread Adoption
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Rules and Regulation
The General Data Protection Regulation (GDPR) is the toughest privacy and security law in the world. Though it was drafted and passed by the European Union (EU), it imposes obligations onto organizations anywhere, so long as they target or collect data related to people in the EU.
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Financial Scrutiny — Data Engineering Driver
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Role Evolution — Data Engineering Driver

BI Specialist || Azure || AWS || GCP — SQL|Python|R|PySpark — Talend, Alteryx, SSIS — PowerBI, SSRS expert at The Smart Cube

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