In an era where product-led growth stands as a pivotal strategy for technology companies, our quest for a more scalable, efficient data processing infrastructure led us to explore beyond the conventional boundaries of streaming services. This exploration was not just about technology migration; it was about aligning our data architecture with the dynamic needs of product development and customer engagement.
Our journey commenced with the ambitious task of transitioning our microservices from Akka Streams to Spark Streaming. However, the real turning point was our encounter with Databricks Delta Lake, which emerged as a compelling alternative to Kafka. Delta Lake distinguished itself not only through its scalable processing capabilities but also by its robust data storage, seamless access, and enhanced querying functionalities.
Join me as I share my journey, insights, and the significant impact of Delta Lake and Spark on driving product-led growth. I'll outline a practical approach for leveraging these advanced streaming technologies to enhance product innovation and increase customer satisfaction.
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