Change Data Capture - SQL data streaming & Change Detection Triggers and Transfers

At changedatacapture.dev, our mission is to provide comprehensive information and resources on data migration, data movement, database replication, and on-prem to cloud streaming. We aim to empower businesses and individuals with the knowledge and tools they need to seamlessly transfer data between different systems and environments. Our goal is to simplify the complex world of data management and help our users achieve their data integration objectives efficiently and effectively.

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Introduction

Data migration, data movement, database replication, and on-prem to cloud streaming are essential concepts in the world of data management. These concepts are critical in ensuring that data is moved, replicated, and streamed efficiently and effectively. This cheat sheet provides an overview of everything you need to know when getting started with these concepts.

Data Migration

Data migration is the process of moving data from one system to another. This process is essential when upgrading to a new system or when consolidating data from multiple systems. Here are some essential things to know about data migration:

1. Plan Ahead: Before starting the migration process, it is essential to plan ahead. This involves identifying the data to be migrated, the source and target systems, and the migration strategy.

2. Data Cleansing: Data cleansing is the process of identifying and correcting errors in data. This is an essential step in data migration as it ensures that the data being migrated is accurate and complete.

3. Data Mapping: Data mapping involves identifying the relationships between data elements in the source and target systems. This is essential in ensuring that data is migrated correctly.

4. Testing: Testing is an essential step in data migration. This involves testing the migration process to ensure that data is migrated correctly and that the target system is functioning correctly.

Data Movement

Data movement is the process of moving data from one location to another. This process is essential in ensuring that data is available where and when it is needed. Here are some essential things to know about data movement:

1. Data Movement Tools: There are various tools available for data movement, including ETL (Extract, Transform, Load) tools, replication tools, and streaming tools.

2. Data Movement Strategies: There are various data movement strategies, including batch processing, real-time processing, and near-real-time processing.

3. Data Movement Security: Data movement security is essential in ensuring that data is moved securely. This involves encrypting data during transit and ensuring that only authorized users have access to the data.

4. Data Movement Performance: Data movement performance is critical in ensuring that data is moved efficiently. This involves optimizing the data movement process to ensure that it is fast and reliable.

Database Replication

Database replication is the process of copying data from one database to another. This process is essential in ensuring that data is available in multiple locations and can be accessed by multiple users. Here are some essential things to know about database replication:

1. Replication Types: There are various types of replication, including snapshot replication, transactional replication, and merge replication.

2. Replication Topologies: There are various replication topologies, including master-slave replication, master-master replication, and multi-master replication.

3. Replication Performance: Replication performance is critical in ensuring that data is replicated efficiently. This involves optimizing the replication process to ensure that it is fast and reliable.

4. Replication Security: Replication security is essential in ensuring that data is replicated securely. This involves encrypting data during transit and ensuring that only authorized users have access to the data.

On-Prem to Cloud Streaming

On-prem to cloud streaming is the process of streaming data from an on-premises system to a cloud-based system. This process is essential in ensuring that data is available in the cloud and can be accessed by cloud-based applications. Here are some essential things to know about on-prem to cloud streaming:

1. Streaming Tools: There are various tools available for on-prem to cloud streaming, including Apache Kafka, Amazon Kinesis, and Google Cloud Pub/Sub.

2. Streaming Topologies: There are various streaming topologies, including point-to-point streaming, publish-subscribe streaming, and fan-out streaming.

3. Streaming Performance: Streaming performance is critical in ensuring that data is streamed efficiently. This involves optimizing the streaming process to ensure that it is fast and reliable.

4. Streaming Security: Streaming security is essential in ensuring that data is streamed securely. This involves encrypting data during transit and ensuring that only authorized users have access to the data.

Conclusion

Data migration, data movement, database replication, and on-prem to cloud streaming are essential concepts in the world of data management. This cheat sheet provides an overview of everything you need to know when getting started with these concepts. By understanding these concepts, you can ensure that your data is moved, replicated, and streamed efficiently and effectively.

Common Terms, Definitions and Jargon

1. Data migration: The process of moving data from one system to another.
2. Data movement: The process of transferring data from one location to another.
3. Database replication: The process of copying data from one database to another.
4. On-premises: Refers to software or hardware that is installed and operated on the premises of the organization.
5. Cloud: Refers to software or hardware that is hosted and operated by a third-party provider.
6. Streaming: The process of transmitting data over a network in real-time.
7. ETL: Extract, Transform, Load. The process of extracting data from a source system, transforming it to fit the target system, and loading it into the target system.
8. CDC: Change Data Capture. The process of capturing changes made to a database and replicating those changes to another database.
9. Replication: The process of copying data from one database to another.
10. Synchronization: The process of ensuring that two or more databases have the same data.
11. Batch processing: The process of processing data in batches rather than in real-time.
12. Real-time processing: The process of processing data as it is generated.
13. Data integration: The process of combining data from multiple sources into a single system.
14. Data warehousing: The process of storing and managing data from multiple sources in a single location.
15. Data modeling: The process of creating a model of a database.
16. Data mapping: The process of mapping data from one system to another.
17. Data cleansing: The process of cleaning and standardizing data.
18. Data profiling: The process of analyzing data to understand its structure and quality.
19. Data lineage: The process of tracking the origin and movement of data.
20. Data governance: The process of managing the availability, usability, integrity, and security of data.

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