Chapter 4. Diving into the Delta Lake Ecosystem
Over the last few chapters, we’ve explored Delta Lake from the comfort of the Spark ecosystem. The Delta protocol, however, offers rich interoperability not only across the underlying table format but within the computing environment as well. This opens the doors to an expansive universe of possibilities for powering our lakehouse applications, using a single source of table truth. It’s time to break outside the box and look at the connector ecosystem.
The connector ecosystem is a set of ever-expanding frameworks, services, and community-driven integrations enabling Delta to be utilized from just about anywhere. The commitment to interoperability enables us to take full advantage of the hard work and effort the growing open source community provides without sacrificing the years we’ve collectively poured into technologies outside the Spark ecosystem.
In this chapter, we’ll discover some of the more popular Delta connectors while learning to pilot our Delta-based data applications from outside the traditional Spark ecosystem. For those of you who haven’t done much work with Apache Spark, you’re in luck, since this chapter is a love song to Delta Lake without Apache Spark and a closer look at how the connector ecosystem works.
We will be covering the following integrations:1
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Flink DataStream Connector
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Kafka Delta Ingest
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Trino Connector
In addition to the four core connectors in this chapter, support for Apache Pulsar, ClickHouse, ...
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