Understanding Modern Data Warehousing and Data Lake
In this video, I delve into the significance of modern data warehousing, focusing on the transition towards data lakes and lake houses in today's industry. I explain the key components such as data sources, integration tools like Kafka and Kinesis, storage layers like S3 and Google Cloud Storage, processing tools like Spark and Flink, and service layers including Power BI and Tableau. Data governance and the concept of a lake house are also discussed, emphasizing the industry standards and the importance of technologies like DBT. Viewers are encouraged to learn about these evolving trends to stay relevant in the data industry.
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