2030 Data Governance Hadoop 
Pickl AI
NOVEMBER 4, 2024
Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?
Pickl AI
NOVEMBER 5, 2024
billion by 2030, expanding at a CAGR of 9.1%. This upward trend highlights the growing demand for BI solutions like Power BI, as more organisations recognise the value of data-driven decision-making in today’s competitive landscape. This makes it adaptable for industries with strict data governance policies.
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