Knowledge Hut
JUNE 26, 2023
From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)
ProjectPro
SEPTEMBER 6, 2021
Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. But not long after Google launched GCP in 2008, it began gaining market traction. Launched in 2008.
ProjectPro
MARCH 15, 2016
Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. The solution to this problem is straightforward.
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