A presentation at Big Data Tech Warsaw in in Warsaw, Poland by Robin Moffatt
The Changing Face of ETL Event-Driven Architectures for Data Engineers Photo by rmoff @rmoff
Photo by Samuel Sianipar on Unsplash
Photo by Khai Sze Ong on Unsplash
Photo by Rainier Ridao on Unsplash
Photo by Rohit Tandon on Unsplash
Photo by Theodore Moore on Unsplash
Photo by Cristian Grecu on Unsplash
Photo by Patrick Fore on Unsplash It used to be so simple @rmoff The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Photo by Eugenio Mazzone on Unsplash More Sources The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Photo by Tom Barrett on Unsplash More Targets The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Photo by Kirill on Unsplash More Data The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Batches and Buckets The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Applications Respond Photo by Deva Darshan from Pexels → an order was placed! Analytics Tell Us What Happened → how many orders were placed The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Photo by NASA on Unsplash @rmoff The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Photo by Mark Kamalov on Unsplash Events
@rmoff “ An event is both: * Notification * State transfer The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff A Customer Experience The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff A Sensor Reading The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread Tinned Spaghetti The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Events @rmoff Basket Bread ItemAdd Bread The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread ItemAdd ItemAdd Bread Baked Beans Baked Beans The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread ItemAdd ItemAdd ItemRemove Bread Baked Beans Baked Beans The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread ItemAdd ItemAdd ItemRemove ItemAdd Bread Baked Beans Baked Beans Tinned Spaghetti Tinned Spaghetti The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread ItemAdd ItemAdd ItemRemove ItemAdd Bread Baked Beans Baked Beans Tinned Spaghetti Tinned Spaghetti The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread ItemAdd ItemAdd ItemRemove ItemAdd Bread Baked Beans Baked Beans Tinned Spaghetti Tinned Spaghetti The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events Basket Bread ItemAdd ItemAdd ItemRemove ItemAdd Bread Baked Beans Baked Beans Tinned Spaghetti Tinned Spaghetti The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff What is an Event Streaming Platform? Producer Connectors Consumer The Log Connectors Streaming Engine The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Immutable Event Log Old New Messages are added at the end of the log The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Consumers have a position all of their own New Old Sally is here Scan The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Consumers have a position all of their own New Old Fred is here Scan Sally is here Scan The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Consumers have a position all of their own George is here Scan New Old Fred is here Scan Sally is here Scan The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff The Connect API Producer Connectors Consumer The Log Connectors Streaming Engine The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Streaming Integration with Kafka Connect syslog flat file CSV JSON Sources MQTT Tasks Workers Kafka Connect Kafka Brokers The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Streaming Integration with Kafka Connect Amazon S3 Sinks MQTT Tasks Workers Kafka Connect Kafka Brokers The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Streaming Integration with Kafka Connect Amazon S3 syslog flat file CSV JSON Sources Sinks MQTT MQTT Tasks Workers Kafka Connect Kafka Brokers The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Stream Processing in Kafka Producer Connectors @rmoff Consumer The Log Connectors Streaming Engine The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Kafka Streams API final StreamsBuilder builder = new StreamsBuilder() .stream(“orders”, Consumed.with(stringSerde, ordersSerde)) .filter( (key, order) -> order.getStatus().equals(“COMPLETE”) ) .to(“complete_orders”, Produced.with(stringSerde, ordersSerde)); The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Stream Processing with KSQL @rmoff CREATE STREAM completedOrders AS SELECT * FROM orders WHERE status=’COMPLETE’; The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Photo by Ash from Modern Afflatus on Unsplash This is Something New The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Review events reviews The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Review events reviews Operational dashboard The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Review events reviews Operational dashboard Data lake The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Review events CREATE STREAM reviews_clean AS SELECT * FROM reviews WHERE id IS NOT NULL; reviews reviews_clean Operational dashboard Filter out bad data Data lake The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Existing apps User data RDBMS txn log users Kafka Connect Kafka The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Review events reviews users reviews_clean Operational dashboard User data Join events to users, and filter Data lake The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Review events CREATE CREATE SELECT SELECT STREAM enriched_reviews AS STREAM reviews_clean AS ** FROM reviews_clean r FROM reviews INNER JOIN users u WHERE id IS NOT NULL ON r.userid=u.userid; reviews users reviews_clean enriched_reviews Operational dashboard User data Join events to users, and filter Data lake The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Events in Action Notification service Review events Operational dashboard User data Join events to users, and filter Data lake The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Events in Action Review events @rmoff CREATE STREAM unhappy_vips AS SELECT * FROM enriched_reviews WHERE rating Notification< 3 AND status = ‘Platinum’; service reviews users reviews_clean enriched_reviews Operational dashboard unhappy_vips User data Join events to users, and filter Data lake The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Photo by rmoff The Power of an Event-Driven Architecture
@rmoff Not Everything is a Nail Events RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Not Everything is a Nail Events Elasticsearch RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Not Everything is a Nail Graph Events Elasticsearch RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Side-by-Side Tech Evaluation @rmoff Events HDFS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Side-by-Side Tech Evaluation Events @rmoff BiqQuery HDFS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Side-by-Side Tech Evaluation @rmoff Snowflake Events BiqQuery HDFS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Evolve Data Sources Producer Onpremises Consuming App A Consuming App B The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Evolve Data Sources Producer Onpremises Producer Consuming App A Consuming App B Cloud The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Evolve Data Sources Consuming App A Producer Consuming App B Cloud The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Tight Coupling != Flexible Orders @rmoff RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Tight Coupling != Flexible Orders RDBMS HDFS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Tight Coupling != Flexible Orders RDBMS HDFS App The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Loose Coupling == Freedom to Evolve RDBMS Orders The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Loose Coupling == Freedom to Evolve RDBMS Orders HDFS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Loose Coupling == Freedom to Evolve RDBMS Orders App HDFS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Transform Once, Use Many: Data Cleansing temp_raw App IoT App RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Transform Once, Use Many: Data Cleansing sensor_id time_epoch 42 1551136074 42 1551136125 1551136125 42 1551138129 IoT reading 13.05 13.11 13.11 13.04 temp_raw App App RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Transform Once, Use Many: Data Cleansing sensor_id time_epoch 42 1551136074 42 1551136125 1551136125 42 1551138129 IoT reading 13.05 13.11 13.11 13.04 temp_raw Cleanse App App Cleanse RDBMS Cleanse The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff Transform Once, Use Many: Data Cleansing sensor_id time_epoch 42 1551136074 42 1551136125 1551136125 42 1551138129 reading 13.05 13.11 13.11 13.04 IoT temp_clean sensor_id 42 42 42 App time_epoch 1551136074 1551136125 1551138129 reading 13.05 13.11 13.04 App temp_raw SENSOR_ID IS NOT NULL RDBMS The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Photo by rmoff Say NO to brittle pipelines
Photo by Benjamin Lambert on Unsplash @rmoff The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Latency requirements Photo by Benjamin Lambert on Unsplash Users of the data ! Photo by Benjamin Lambert on Unsplash Scale Data fidelity
@rmoff App App App App cache monitoring cache MQ DWH security MQ search Hadoop The Changing Face of ETL: Event-Driven Architectures for Data Engineers
@rmoff App App App App request-response changelogs App App KAFKA App App DWH Hadoop messaging OR stream processing streaming data pipelines The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Photo by rmoff Events model the real world
Event streaming platform Photo by rmoff Native stream processing Data when you need it Data persistence Flexibility & scalability
@rmoff http://cnfl.io/book-bundle The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Photo by rmoff confluent.io/download http://cnfl.io/book-bundle http://cnfl.io/slack @rmoff
@rmoff Resources • CDC Spreadsheet #EOF • Blog: No More Silos: How to Integrate your Databases with Apache Kafka and CDC • #partner-engineering on Slack for questions • BD team (#partners / partners@confluent.io) can help with introductions on a given sales op The Changing Face of ETL: Event-Driven Architectures for Data Engineers
Data integration in architectures built on static, update-in-place datastores inevitably end up with pathologically high degrees of coupling and poor scalability. This has been the standard practice for decades, as we attempt to build data pipelines on top of databases that do a poor job modeling the fundamental objects that drive our businesses and systems: events.
Events carry both notification and state, and form a powerful primitive on which to build systems for developers and data engineers alike. Developers benefit from the asynchronous communication that events enable between services, and data engineers benefit from the integration capabilities. Everyone gains from using the standards-based, scalable and resilient streaming platform.
In this talk, we’ll discuss the concepts of events, their relevance to both software engineers and data engineers and their ability to unify architectures in a powerful way. We’ll see how stream processing makes sense in both a microservices and ETL environment, and why analytics, data integration and ETL fit naturally into a streaming world.
