Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (2022)

One of the most common relational database systems that connects to Apache Kafka® is Oracle, which often holds highly critical enterprise transaction workloads. While Oracle Database (DB) excels at many things, organizations often find that they want to use the data that it stores elsewhere, such as their analytics platform or for driving real-time applications. Change data capture (CDC) solves this challenge by efficiently identifying and capturing data that has been added to, updated, or removed from tables in Oracle. It then makes this change data available to the rest of the organization.

There has been an increasing demand for a CDC solution for Oracle Database. We’ve interviewed various enterprise customers who run businesses on Oracle databases across multiple industries, including financial services, retail, higher education, and telecommunications. Many of these customers have tried other solutions, but they often present challenges, such as the following:

  • Introducing redundant components when downstream applications or services are not covered by out-of-the-box integrations
  • Prohibitive licensing costs of capturing high-value Oracle DB change events

In addition, anyone who has built an in-house solution 5–10 years ago eventually realizes that updating, supporting, and maintaining the in-house solution results in costly technical debt.

Today, we are excited to announce the release and general availability (GA) of Confluent’s Oracle CDC Source Connector. This connector allows you to reliably and cost-effectively implement continuous real-time syncs by offloading data from Oracle Database to Confluent. By leveraging Confluent’s Oracle CDC Source Connector alongside other Confluent components like ksqlDB and sink connectors for modern data systems, enterprises can enable key use cases like data synchronization, real-time analytics, and data warehouse modernization that power new and improved Customer 360, fraud detection, machine learning, and more.

Here are just a few of the benefits introduced by the Oracle CDC Connector, as shared by our customers:

  • “We can potentially save a few million dollars by using Confluent’s connector instead of a solution we use today.”
    -Chief Architect of a Higher-Education Institution
  • “Because of its licensing model, if we go out of the current license model for a third-party solution, we need to take a second mortgage to pay for an additional license. It won’t be the case with Confluent’s connector.”
    -A Large Retailer
  • “We can simplify our current data pipeline with the Oracle CDC Source Connector, removing redundant components and services .”
    -A Large Airline in Latin America

Oracle version compatibility

Confluent’s connector for Oracle CDC Source v1.0.0 uses Oracle LogMiner to read the database’s redo log. It also requires supplemental logging with ALL columns either for tables that you are interested in or for the entire database. The connector supports Oracle Database 11g, 12c, 18c, and 19c, and either starts with a snapshot of the tables or starts reading the logs from a specific Oracle system change number (SCN) or timestamp.

Confluent’s Oracle CDC Connector in action

Let’s now look at how you can create a CDC pipeline between Oracle Database and BigQuery with Confluent’s self-managed connector for the Oracle CDC Source and fully managed BigQuery Sink Connector. While this demo focuses on writing the data to BigQuery, you can use the Oracle CDC Source Connector to write to other destinations like Snowflake, MongoDB Atlas, and Amazon Redshift.

(Video) Integrating Oracle and Kafka

Demo scenario

Your company—we’ll call it Blue Mariposa—is a big Oracle shop and runs lots of Oracle databases to store almost everything related to the business. You’re a data engineer on the newly minted Data Science team charged with helping to improve topline revenue by building an internal application to surface upsell opportunities to account teams. The Data Science team wants to harness existing customer data and apply the latest machine learning technologies and predictive analytics to enrich historical customer data with real-time context from the application. However, there are three challenges:

  1. Your DBAs likely don’t want the Data Science team to directly and frequently query the tables in the Oracle databases due to the increased load on the database servers and the potential to interfere with existing transactional activity
  2. The Data Science team doesn’t like the transactional schema anyway and really just wants to write queries against BigQuery
  3. If your team makes a static copy of the data, you need to keep that copy up to date in near real time

Confluent’s Oracle CDC Source Connector can continuously monitor the original database and create an event stream in the cloud with a full snapshot of all of the original data and all of the subsequent changes to data in the database, as they occur and in the same order. The BigQuery Sink Connector can continuously consume that event stream and apply those same changes to the BigQuery data warehouse.

Set up Kafka Connect

You can run the connector with a Kafka Connect cluster that connects to a self-managed Kafka cluster, or you can run it with Confluent Cloud.

ℹ️If you’d like to get started with Confluent Cloud, sign up and you’ll receive $400 to spend within Confluent Cloud during your first 60 days. In addition, you can use the promo code CL60BLOG for an additional $60 of free Confluent Cloud usage.*

For our example, we’re using Confluent Cloud. The first step is to create a configuration for your Connect workers that tells Connect to use Confluent Cloud. Confluent Cloud can create a proper worker configuration for you. All you need to do is go to Tools & client config > Kafka Connect in Confluent Cloud.

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (1)

In the Kafka Connect worker configuration, be sure that the plugin.path has a path in which you’ve installed Confluent’s Oracle CDC Source Connector, and topic.creation.enable is set to true so that Connect can create the topics where the source connector will write its change events.

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (2)

Once the Connect worker config is ready, you can start the connector worker with the following command:

(Video) Data Pipelines: Using CDC to Ingest Data into Kafka

./bin/connect-distributed ./etc/my-connect-distributed.properties

Configure Oracle for CDC

Our Oracle database is Amazon Relational Database Service (Amazon RDS) for Oracle 12c, and the DBAs can follow the documented steps to make the Oracle Database ready for CDC.

Create the connector configuration

Then create a configuration for the connector:

{ "name": "OracleCDC_Mariposa", "config":{ "connector.class": "io.confluent.connect.oracle.cdc.OracleCdcSourceConnector", "name": "OracleCDC_Mariposa", "tasks.max":3, "oracle.server": "", "oracle.port": 1521, "oracle.sid":"ORCL", "oracle.username": "", "oracle.password": "", "start.from":"snapshot", "redo.log.topic.name": "oracle-redo-log-topic", "redo.log.consumer.bootstrap.servers":"", "redo.log.consumer.sasl.jaas.config":"org.apache.kafka.common.security.plain.PlainLoginModule required username=\"\" password=\"\";", "redo.log.consumer.security.protocol":"SASL_SSL", "redo.log.consumer.sasl.mechanism":"PLAIN", "table.inclusion.regex":"ORCL.ADMIN.MARIPOSA.*", "table.topic.name.template": "${databaseName}.${schemaName}.${tableName}", "lob.topic.name.template":"${databaseName}.${schemaName}.${tableName}.${columnName}", "connection.pool.max.size": 20, "confluent.topic.replication.factor":3, "redo.log.row.fetch.size": 1, "numeric.mapping":"best_fit", "topic.creation.groups":"redo", "topic.creation.redo.include":"oracle-redo-log-topic", "topic.creation.redo.replication.factor":3, "topic.creation.redo.partitions":1, "topic.creation.redo.cleanup.policy":"delete", "topic.creation.redo.retention.ms":1209600000, "topic.creation.default.replication.factor":3, "topic.creation.default.partitions":5, "topic.creation.default.cleanup.policy":"compact", "confluent.topic.bootstrap.servers":"", "confluent.topic.sasl.jaas.config":"org.apache.kafka.common.security.plain.PlainLoginModule required username=\"\" password=\"\";", "confluent.topic.security.protocol":"SASL_SSL", "confluent.topic.sasl.mechanism":"PLAIN", "key.converter":"org.apache.kafka.connect.storage.StringConverter", "value.converter":"io.confluent.connect.avro.AvroConverter", "value.converter.basic.auth.credentials.source":"USER_INFO","value.converter.schema.registry.basic.auth.user.info":":", "value.converter.schema.registry.url":"" }}

There are a few config parameters to highlight:

  • table.inclusion.regex identifies the regular expression that identifies tables that this connector will capture
  • table.topic.name.template specifies the rule for the names of the topics to which the events are written
  • Since we have a few tables, including a CLOB data type, we also use lob.topic.name.template to specify the names of the topics where LOB values are written
  • We also have a few columns with NUMERIC data types in Oracle Database, and with "numeric.mapping":"best_fit"; the connector will store them as an integer, a float, or a double in Kafka topics rather than as arbitrarily high precision numbers

The last group of configuration parameters uses the functionality added in Apache Kafka 2.6 to define how Connect creates topics to which the source connector writes. The following parameters create a redo log topic called oracle-redo-log-topic with one partition and create other topics (used for table-specific change events) with five partitions.

 "topic.creation.groups":"redo", "topic.creation.redo.include":"oracle-redo-log-topic", "topic.creation.redo.replication.factor":3, "topic.creation.redo.partitions":1, "topic.creation.redo.cleanup.policy":"delete", "topic.creation.redo.retention.ms":1209600000, "topic.creation.default.replication.factor":3, "topic.creation.default.partitions":5, "topic.creation.default.cleanup.policy":"compact",

When the connector is running, it logs that it cannot find a redo log topic if there are no changes (INSERT, UPDATE, or DELETE) in the database five minutes after it completes a snapshot. To prevent this from happening, you can increase redo.log.startup.polling.limit.ms, or you can create a redo log topic before running the connector.

ccloud kafka topic create oracle-redo-log-topic --partitions 1 --config cleanup.policy=delete --config retention.ms=120960000

Now you can create the connector by submitting the configuration to your Kafka Connect worker, assuming that you’ve written the above JSON configuration to a file called oracle-cdc-confluent-cloud.json:

curl -s -H "Content-Type: application/json" \-X POST \-d @oracle-cdc-confluent-cloud.json \http://localhost:8083/connectors/

Once you’ve created the connector, make sure that it’s running:

curl -s "http://localhost:8083/connectors/OracleCDC_Mariposa/status"

You should get output that looks like this:

(Video) Kafka Connect - Moving data between Oracle Databases

{"name":"OracleCDC_Mariposa","connector":{"state":"RUNNING","worker_id":"kafka-connect:8083"},"tasks":[{"id":0,"state":"RUNNING","worker_id":"kafka-connect:8083"}],"type":"source"}
ℹ️If you don’t see RUNNING under both the connector and tasks elements, then you’ll need to inspect the stack trace using the REST API or from the Kafka Connect worker log.

Once the connector is running, you can check Kafka topics to see whether records are coming from Oracle Database. Blue Mariposa has a table called MARIPOSA_ORDERDETAILS that stores 1,000 order records.

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (3)

As new orders are coming to the Oracle table MARIPOSA_ORDERDETAILS, the connector captures raw Oracle events in the oracle-redo-log-topic and writes the change events specific to the MARIPOSA_ORDERDETAILS table to the ORCL.ADMIN.MARIPOSA_ORDERDETAILS topic.

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (4)

With "numeric.mapping":"best_fit", you will notice that the ORDER_NUMBER and QUANTITY_ORDERED fields from the source table (both NUMERIC type) are written to the Kafka topic as INT and DOUBLE, respectively:

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (5)

Now that we have a stream of all of the data from the Oracle MARIPOSA_ORDERDETAILS table in Kafka, we can put it to use. In our scenario, we were required to populate BigQuery for our Data Science team, so we’ll do that using the BigQuery Sink Connector. Because we’re using Confluent Cloud, we can take advantage of the fully managed connector to do this.

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (6)

(Video) Source MySQL table data to Kafka | Build JDBC Source Connector | Confluent Connector | Kafka Connect

Heading over to BigQuery, you’ll see the ORCL_AMDIN_MARIPOSA_ORDERDETAILS table populated with data.

Connect Kafka to Oracle with Confluent's Premium Oracle CDC Connector (7)

You now have a working data pipeline from an Oracle database through to BigQuery using Confluent’s self-managed Oracle CDC Connector.

Learn more about the Oracle CDC Source Connector

To learn more about Confluent’s Oracle CDC Source Connector, please register for the online talk, where we will feature a demo and technical deep dive.

If you haven’t tried it yet, check out Confluent’s latest Oracle CDC Source Connector on Confluent Hub or this Dockerized example to get familiar with various configuration parameters.

Download Now

Further reading

FAQs

Is Kafka connect CDC? ›

The Kafka Connect Oracle CDC Source connector captures each change to rows in a database and then represents the changes as change event records in Apache Kafka® topics. The connector uses Oracle LogMiner to read the database redo log.

Can Kafka connect to Oracle database? ›

Oracle Streaming Service is Kafka compatible and you can use OSS with Kafka connect and get the best of all words. This means that now you can connect with JDBC, Object Store, HDFS, Elasticsearch, and others in a really simple way, only changing a config file.

Can we use Kafka connect without confluent? ›

Confluent Schema Registry

Although Schema Registry is not a required service for Kafka Connect, it enables you to easily use Avro, Protobuf, and JSON Schema as common data formats for the Kafka records that connectors read from and write to.

Is Kafka connector free? ›

Kafka Connect is a free, open-source component of Apache Kafka® that works as a centralized data hub for simple data integration between databases, key-value stores, search indexes, and file systems.

How does CDC work with Kafka? ›

CDC does this by detecting row-level changes in Database source tables, which are characterized as Insert, Update, and Delete events. It then notifies any other systems or services that rely on the same data. The change alerts are sent out in the same order that they were made in the Database.

What is CDC in Kafka? ›

https://cnfl.io/data-pipelines-module-3 | Using change data capture (CDC), you can stream data from a relational database into Apache Kafka®. This video explains the two types of CDC: log-based and query-based.

What is a CDC connector? ›

The CDC Source connector is used to capture change log of existing databases like MySQL, MongoDB, PostgreSQL into Pulsar. The CDC Source connector is built on top of Debezium. This connector stores all data into Pulsar Cluster in a persistent, replicated and partitioned way.

Can I use Debezium without Kafka? ›

Yet an alternative way for using the Debezium connectors is the embedded engine. In this case, Debezium will not be run via Kafka Connect, but as a library embedded into your custom Java applications.

What is Oracle Kafka? ›

Kafka Connect can ingest data from multiple databases and application servers into Kafka topics, and supply this data for consumption by other systems down the line. Also, an export job in Kafka Connect can deliver data from pre-existing Kafka topics into databases like Oracle for querying or batch processing.

What is the difference between Kafka and Kafka connect? ›

Kafka Streams is an API for writing client applications that transform data in Apache Kafka. You usually do this by publishing the transformed data onto a new topic. The data processing itself happens within your client application, not on a Kafka broker. Kafka Connect is an API for moving data into and out of Kafka.

Does Kafka connect need Zookeeper? ›

In Kafka architecture, Zookeeper serves as a centralized controller for managing all the metadata information about Kafka producers, brokers, and consumers. However, you can install and run Kafka without Zookeeper.

Is Kafka connect good? ›

It is scalable, available as a managed service, and has simple APIs available in pretty much any language you want. But as much as Kafka does a good job as the central nervous system of your company's data, there are so many systems that are not Kafka that you still have to talk to.

When should I use Kafka connector? ›

Kafka Connectors are ready-to-use components, which can help us to import data from external systems into Kafka topics and export data from Kafka topics into external systems. We can use existing connector implementations for common data sources and sinks or implement our own connectors.

How do I connect to Kafka? ›

1.3 Quick Start
  1. Step 1: Download the code. Download the 0.9. ...
  2. Step 2: Start the server. ...
  3. Step 3: Create a topic. ...
  4. Step 4: Send some messages. ...
  5. Step 5: Start a consumer. ...
  6. Step 6: Setting up a multi-broker cluster. ...
  7. Step 7: Use Kafka Connect to import/export data.

How do I run Kafka connect? ›

Kafka Connect Standalone Example
  1. Kafka cluster is running. ...
  2. In a terminal window, cd to where you extracted Confluent Platform. ...
  3. Copy etc/kafka/connect-standalone. ...
  4. Open this new connect-standalone.properties file in your favorite editor and change bootstrap.servers value to localhost:19092.

How do you capture events in Kafka? ›

Kafka (single node) Kafka connect.
...
How to run the project
  1. Run the docker-compose file with all the services.
  2. Configure MongoDB replica set. This is required to enable the Change Stream interface to capture data changes. More info about this here.
  3. Configure the Kafka connectors.
  4. Connect to the logs of the server.
20 Jan 2020

How do I stream data from Kafka to MySQL? ›

Docker is installed.
  1. Step 1: Configure Kafka Connect. Decompress the downloaded MySQL source connector package to the specified directory. ...
  2. Step 2: Start Kafka Connect. ...
  3. Step 3: Install MySQL. ...
  4. Step 4: Configure MySQL. ...
  5. Step 5: Start the MySQL source connector.
19 May 2022

What is CDC in big data? ›

Change Data Capture is a software process that identifies and tracks changes to data in a database. CDC provides real-time or near-real-time movement of data by moving and processing data continuously as new database events occur.

What is CDC pipeline? ›

CDC is short for Change Data Capture. It is an approach to data integration that is based on the checking, capture and delivery of the change to data source interface. CDC can help to load the source table into your data warehouse or Delta Lake. Here is our CDC pipeline for database.

Can Kafka pull data? ›

Since Kafka is pull-based, it implements aggressive batching of data. Kafka like many pull based systems implements a long poll (SQS, Kafka both do). A long poll keeps a connection open after a request for a period and waits for a response.

Can Kafka be used for ETL? ›

In the architecture of a real-time ETL platform, we might use Apache Kafka to store data change events captured from data sources - both in a raw version, before applying any transformations, and a prepared (or processed) version, after applying transformations.

What is change data capture in Oracle? ›

Change Data Capture efficiently identifies and captures data that has been added to, updated, or removed from, Oracle relational tables, and makes the change data available for use by applications. Change Data Capture is provided as an Oracle database server component with Oracle9i.

Is Debezium open source? ›

Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases.

What is confluent platform? ›

Confluent Platform is a full-scale data streaming platform that enables you to easily access, store, and manage data as continuous, real-time streams.

What is difference between Kafka connect and Debezium? ›

Debezium platform has a vast set of CDC connectors, while Kafka Connect comprises various JDBC connectors to interact with external or downstream applications. However, Debeziums CDC connectors can only be used as a source connector that captures real-time event change records from external database systems.

Is Debezium a Kafka connector? ›

Debezium is built on top of Apache Kafka and provides a set of Kafka Connect compatible connectors. Each of the connectors works with a specific database management system (DBMS).

How do I configure Debezium? ›

Installing the Debezium MySQL connector
  1. Download the Debezium MySQL Connector plug-in.
  2. In your Kafka Connect environment, extract the files.
  3. In Kafka Connect's plugin. ...
  4. Configure the connector and add it to your Kafka Connect cluster's settings.
  5. Start the Kafka Connect procedure again.
28 Jan 2022

What is the use of LogMiner in Oracle? ›

Oracle LogMiner, which is part of Oracle Database, enables you to query online and archived redo log files through a SQL interface. Redo log files contain information about the history of activity on a database.

What Kafka streams? ›

Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in an Apache Kafka® cluster. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

What does Oracle Golden Gate do? ›

Oracle GoldenGate is a software product that allows you to replicate, filter, and transform data from one database to another database. Using Oracle GoldenGate, you can move committed transactions across multiple heterogeneous systems in your enterprise.

What are different Kafka connectors? ›

The Kafka Connect JMS Source connector is used to move messages from any JMS-compliant broker into Apache Kafka®. The Kafka Connect Elasticsearch Service Sink connector moves data from Apache Kafka® to Elasticsearch. It writes data from a topic in Kafka to an index in Elasticsearch.

How does Kafka connector work? ›

Worker model: A Kafka Connect cluster consists of a set of Worker processes that are containers that execute Connectors and Tasks . Workers automatically coordinate with each other to distribute work and provide scalability and fault tolerance.

Where does Kafka connect run? ›

But where do the tasks actually run? Kafka Connect runs under the Java virtual machine (JVM) as a process known as a worker. Each worker can execute multiple connectors.

Why did Kafka remove ZooKeeper? ›

Replacing ZooKeeper with internally managed metadata will improve scalability and management, according to Kafka's developers. Change is coming for users of Apache Kafka, the leading distributed event-streaming platform.

What happens if ZooKeeper goes down in Kafka? ›

If one the ZooKeeper nodes fails, the following occurs: Other ZooKeeper nodes detect the failure to respond. A new ZooKeeper leader is elected if the failed node is the current leader. If multiple nodes fail and ZooKeeper loses its quorum, it will drop into read-only mode and reject requests for changes.

How do you check if Kafka Connect is running? ›

You can use the REST API to view the current status of a connector and its tasks, including the ID of the worker to which each was assigned. Connectors and their tasks publish status updates to a shared topic (configured with status. storage. topic ) which all workers in the cluster monitor.

What should you not use with Kafka? ›

It's best to avoid using Kafka as the processing engine for ETL jobs, especially where real-time processing is needed. That said, there are third-party tools you can use that work with Kafka to give you additional robust capabilities – for example, to optimize tables for real-time analytics.

Is Kafka still popular? ›

With over 1,000 Kafka use cases and counting, some common benefits are building data pipelines, leveraging real-time data streams, enabling operational metrics, and data integration across countless sources. Today, Kafka is used by thousands of companies including over 80% of the Fortune 100.

Is Kafka an API? ›

The Kafka Streams API to implement stream processing applications and microservices. It provides higher-level functions to process event streams, including transformations, stateful operations like aggregations and joins, windowing, processing based on event-time, and more.

What is difference between Kafka and confluent Kafka? ›

Apache Kafka is an open source message broker that provides high throughput, high availability, and low latency. Apache Kafka can be used either on its own or with the additional technology from Confluent. Confluent Kafka provides additional technologies that sit on top of Apache Kafka.

How do I install Kafka connector plugins? ›

Install Connector Manually

Kafka Connect isolates each plugin so that the plugin libraries do not conflict with each other. To manually install a connector: Find your connector on Confluent Hub and download the connector ZIP file. Extract the ZIP file contents and copy the contents to the desired location.

Is Kafka and Apache Kafka same? ›

Apache Kafka: Technology Type. While both platforms fall under big data technologies, they are classified into different categories. Confluent Kafka falls under the data processing category in the big data. On the other hand, Apache Kafka falls under the data operations category as it is a message queuing system.

What ports Kafka use? ›

By default, the Kafka server is started on port 9092 . Kafka uses ZooKeeper, and hence a ZooKeeper server is also started on port 2181 .

How do I connect Kafka to another machine? ›

For security reasons, the Kafka ports in this solution cannot be accessed over a public IP address. To connect to Kafka and Zookeeper from a different machine, you must open ports 9092 and 2181 for remote access. Refer to the FAQ for more information on this.

What is Kafka EndPoint? ›

EndPoint is a data structure that represents an endpoint of a Kafka broker using the following properties: Host. Port. ListenerName. SecurityProtocol.

What is a CDC connector? ›

The CDC Source connector is used to capture change log of existing databases like MySQL, MongoDB, PostgreSQL into Pulsar. The CDC Source connector is built on top of Debezium. This connector stores all data into Pulsar Cluster in a persistent, replicated and partitioned way.

Can I use Debezium without Kafka? ›

Yet an alternative way for using the Debezium connectors is the embedded engine. In this case, Debezium will not be run via Kafka Connect, but as a library embedded into your custom Java applications.

What is CDC in confluent? ›

Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®.

What is CDC in big data? ›

Change data capture (CDC) refers to the process of identifying and capturing changes made to data in a database and then delivering those changes in real-time to a downstream process or system.

What is change data capture in Oracle? ›

Change Data Capture efficiently identifies and captures data that has been added to, updated, or removed from, Oracle relational tables, and makes the change data available for use by applications. Change Data Capture is provided as an Oracle database server component with Oracle9i.

Is Debezium open source? ›

Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases.

What is confluent platform? ›

Confluent Platform is a full-scale data streaming platform that enables you to easily access, store, and manage data as continuous, real-time streams.

What is difference between Kafka connect and Debezium? ›

Debezium platform has a vast set of CDC connectors, while Kafka Connect comprises various JDBC connectors to interact with external or downstream applications. However, Debeziums CDC connectors can only be used as a source connector that captures real-time event change records from external database systems.

Is Debezium a Kafka connector? ›

Debezium is built on top of Apache Kafka and provides a set of Kafka Connect compatible connectors. Each of the connectors works with a specific database management system (DBMS).

What is the difference between Kafka and Kafka connect? ›

Kafka Streams is an API for writing client applications that transform data in Apache Kafka. You usually do this by publishing the transformed data onto a new topic. The data processing itself happens within your client application, not on a Kafka broker. Kafka Connect is an API for moving data into and out of Kafka.

What is CDC pipeline? ›

CDC is short for Change Data Capture. It is an approach to data integration that is based on the checking, capture and delivery of the change to data source interface. CDC can help to load the source table into your data warehouse or Delta Lake. Here is our CDC pipeline for database.

How do I use Kafka to consume data? ›

  1. ▶︎Ingesting data into Apache Kafka. Understand the use case. Meet the prerequisites. Build the data flow. Create controller services for your data flow. Configure the processor for your data source. Configure the processor for your data target. Start the data flow. ...
  2. Monitoring your data flow.
  3. Next steps.
  4. Appendix - Schema example.

What Kafka streams? ›

Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in an Apache Kafka® cluster. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

What are the types of CDC? ›

There are multiple types of change data capture that can be used for data processing from a database. These include log-based CDC, trigger-based CDC, CDC based on timestamps and difference-based CDC.

What is the difference between CDC and incremental load? ›

The CDC methods will enable you to extract and load only the new or changed records form the source, rather than loading the entire records from the source. Also called as delta or incremental load. This lets you store/preserve the history of changed records of selected dimensions as per your choice.

What is difference between CDC and SCD? ›

Change Data Capture (CDC) quickly identifies and processes only data that has changed and then makes this changed data available for further use. A Slowly Changing Dimension (SCD) is a dimension that stores and manages both current and historical data over time in a data warehouse.

Videos

1. Sink Kafka Topic to Database Table | Build JDBC Sink Connector | Confluent Connector | Kafka Connect
(The Java Tech Learning)
2. Run Confluent / Confluent Kafka using docker and install connector
(Tech Talks)
3. Data Pipelines: Ingest Data From MySQL Into Kafka with Kafka Connect (Hands On)
(Confluent)
4. Installing a JDBC driver for the Kafka Connect JDBC connector
(Robin Moffatt)
5. Confluent Kafka Debezium CDC Connection Setup for MysqlDB in Docker
(cloudgeeks inc)
6. Modernize your Database with Confluent and MongoDB
(Confluent)

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