5 Datastore Yang Wajib Dipelajari Backend Programmer

Summary

This video explores five essential data stores that programmers should understand for handling different types of data in application development. It covers Redis for fast in-memory storage, MongoDB for flexible document-based storage, Elasticsearch for advanced search capabilities, Apache Kafka for message brokering in large systems, and Cassandra for high-availability, column-oriented storage. The presenter emphasizes the importance of learning these technologies to improve performance and adapt to specific use cases, even if they're not immediately implemented in every project. These concepts are valuable for backend programmers to enhance their skills and future-proof their work.

Takeaways

• 💾 Relational databases (SQL-based) are essential, but it's also important to understand non-relational data stores.
• ⚡ Redis is an in-memory data store ideal for improving application performance, especially for tasks like session management.
• 📄 MongoDB is a NoSQL document-based database, allowing for dynamic schemas, which is useful for handling changing data structures.
• 🔍 Elasticsearch is designed for advanced search systems, handling complex queries and optimizing performance for search-heavy applications.
• 📩 Apache Kafka is a widely used message broker, suitable for large-scale enterprise applications like banks and telecom companies.
• 🗂 Cassandra is a column-oriented database designed for high availability, used by companies like Netflix and Discord for ensuring data uptime.
• 🔄 Data stores like Redis are useful for caching frequently accessed data, reducing database query time and improving response rates.
• 📝 MongoDB's flexibility makes it ideal for applications that handle custom attributes or fields that may frequently change.
• 🔗 Apache Kafka's concepts and architecture influence other, lighter message brokers, making it a good foundational tool to learn.
• 🌐 Cassandra and ScyllaDB are used for high availability and large-scale data needs, with ScyllaDB offering performance optimizations over Cassandra.

Q & A

What is Redis and why is it useful in application development?

Redis is an in-memory database designed to store data in memory, making it faster than disk-based databases like SQL. It is useful for improving the performance of applications, particularly in cases where frequent read and write operations occur, such as session management.

Why is learning relational databases like SQL important for developers?

Understanding relational databases, particularly SQL, is crucial because they are the foundation for data storage in most applications. Relational databases ensure structured data storage and provide efficient querying mechanisms, making them essential for developers.

What are the advantages of using MongoDB over a traditional relational database?

MongoDB is a NoSQL, document-based database that offers flexibility in storing dynamic and unstructured data, unlike relational databases that require predefined schemas. This makes MongoDB ideal for applications where data types frequently change or need customization.

In what scenarios is Redis particularly beneficial?

Redis is especially beneficial when performance and speed are critical, such as in caching frequently accessed data, session management, and reducing the load on slower disk-based databases.

What is Elasticsearch, and why is it recommended for search systems?

Elasticsearch is a database system designed for advanced search functionalities. It excels at handling complex search queries and offers superior performance compared to traditional databases, making it ideal for use in applications requiring sophisticated search capabilities.

How does MongoDB handle dynamic data structures compared to SQL databases?

MongoDB allows dynamic schemas, meaning the structure of data can change over time, and different documents in the same collection can have different fields. This contrasts with SQL databases, which require fixed schemas that cannot easily adapt to changing data structures.

What is Apache Kafka, and why is it popular in large enterprises?

Apache Kafka is a highly popular message broker system used in large enterprises like banks and telecoms. It facilitates high-throughput messaging and enables real-time data streaming between systems, ensuring scalability and efficient data handling.

What makes Cassandra suitable for applications that require high availability?

Cassandra is a column-oriented database designed for high availability and ensuring uptime even under heavy loads. It trades off some consistency to achieve this but is widely used in large-scale applications like Netflix that prioritize availability over strict consistency.

What is the difference between Cassandra and ScyllaDB?

Cassandra is written in Java, while ScyllaDB is written in C++, making ScyllaDB more efficient in terms of performance. Both databases are compatible and share similar architecture, so transitioning from Cassandra to ScyllaDB is seamless in most cases.

Why is it recommended to learn about different data stores, even if they are not used immediately?

Learning about various data stores equips developers with a wide range of tools and concepts, enabling them to choose the most suitable technology when faced with different project requirements. It also helps improve problem-solving skills and adapt to future needs.