# querying

Published articles for querying.

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## Unlocking Real-Time Insights: Integrate KSQL with Kafka for Stream Processing

DevFeed: [Unlocking Real-Time Insights: Integrate KSQL with Kafka for Stream Processing](<https://devfeed.tech/articles/unlocking-real-time-insights-integrate-ksql-with-kafka-for-stream-processing-65418.md>)

Original publisher: [Read original article](<https://blog.devops.dev/unlocking-real-time-insights-integrate-ksql-with-kafka-for-stream-processing-d120ad646d20?source=rss----33f8b2d9a328---4>)

Author: Rahul Patidar

Published: 2026-10-06T13:04:14Z

Content type: tutorial

Language: en

Sources: [DevOps.dev](<https://devfeed.tech/sources/devops-dev.md>)

Topics: [Apache Kafka](<https://devfeed.tech/topics/apache-kafka.md>), [stream-processing](<https://devfeed.tech/topics/stream-processing.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [apache-kafka](<https://devfeed.tech/tags/apache-kafka.md>), [data](<https://devfeed.tech/tags/data.md>), [development](<https://devfeed.tech/tags/development.md>), [fault-tolerance](<https://devfeed.tech/tags/fault-tolerance.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [ksql](<https://devfeed.tech/tags/ksql.md>), [ksqldb](<https://devfeed.tech/tags/ksqldb.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [queries](<https://devfeed.tech/tags/queries.md>), [querying](<https://devfeed.tech/tags/querying.md>), [real-time-analytics](<https://devfeed.tech/tags/real-time-analytics.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [scalable-infrastructure](<https://devfeed.tech/tags/scalable-infrastructure.md>), [stream](<https://devfeed.tech/tags/stream.md>), [stream-processing](<https://devfeed.tech/tags/stream-processing.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [streaming-data](<https://devfeed.tech/tags/streaming-data.md>), [streams](<https://devfeed.tech/tags/streams.md>), [tasks](<https://devfeed.tech/tags/tasks.md>)

### AI overview

This tutorial demonstrates integrating ksqlDB with Apache Kafka to process streaming data. It walks through examples with records that have and lack keys, creating streams and tables, and querying the results in real time.

### Source excerpt

What Is Kafka? Kafka is a powerful system that handles streaming data in real-time. It is like a highly reliable and scalable infrastructure that allows you to process and analyze large amounts of data as it flows through the system. With Kafka, you can build applications that handle data ingestion, analytics, and other real-time data processing tasks effectively. What Is KSQL? KSQL is a tool that allows you to use SQL-like queries to process and analyze streaming data in real-time using Apache Kafka. It simplifies the development of real-time applications by enabling you to write SQL queries to filter, transform, and join data streams, making it easier to work with and derive insights from streaming data. Why Do We Need Integration Between Kafka and Ksql? Real-time data processing: Enables the processing and analysis of streaming data in real-time. SQL-like interface: Allows working with streaming data using familiar SQL queries. Real-time analytics: Provides insights and analytics on continuously flowing data. Simplified development: Streamlines the development of real-time applications with a higher-level, declarative approach. Scalability and fault-tolerance: Supports handling high-volume streaming data with scalability and fault-tolerant processing. Key Components In Ksql : Stream: Represents continuously flowing real-time data for processing and analysis. Table: Organized collection of data records that result from aggregating or joining streams or tables. Maintains the latest values for each key. Queryable Table: A special table type allowing low-latency access to the current state for interactive querying. Pre-Requites : Start Zookeeper start kafka server start ksql servernohup ./bin/zookeeper-server-start ./etc/kafka/zookeeper.properties > zookeeper.log 2>&1 & nohup ./bin/kafka-server-start ./etc/kafka/server.properties > kafka.log 2>&1 & nohup ./bin/ksql-server-start ./etc/ksql/ksql-server.properties > ksql.log 2>&1 & How to Integrate Kafka with Ksql: Scen

## How to Query Data the Professional Way in SQL Server: A Performance-First Guide for Beginners

DevFeed: [How to Query Data the Professional Way in SQL Server: A Performance-First Guide for Beginners](<https://devfeed.tech/articles/how-to-query-data-the-professional-way-in-sql-server-a-performance-first-guide-for-beginners-64288.md>)

Original publisher: [Read original article](<https://hackernoon.com/how-to-query-data-the-professional-way-in-sql-server-a-performance-first-guide-for-beginners?source=rss>)

Author: Surendra Reddy

Published: 2026-10-02T18:19:28Z

Content type: tutorial

Language: en

Sources: [HackerNoon](<https://devfeed.tech/sources/hackernoon.md>)

Topics: [sql-server](<https://devfeed.tech/topics/sql-server.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [database-optimization](<https://devfeed.tech/topics/database-optimization.md>), [database monitoring](<https://devfeed.tech/topics/database-monitoring.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [database](<https://devfeed.tech/tags/database.md>), [guide](<https://devfeed.tech/tags/guide.md>), [performance](<https://devfeed.tech/tags/performance.md>), [querying](<https://devfeed.tech/tags/querying.md>), [sql](<https://devfeed.tech/tags/sql.md>), [sql-beginner-tips](<https://devfeed.tech/tags/sql-beginner-tips.md>), [sql-database](<https://devfeed.tech/tags/sql-database.md>), [sql-injection](<https://devfeed.tech/tags/sql-injection.md>), [sql-server](<https://devfeed.tech/tags/sql-server.md>)

### AI overview

This beginner-focused tutorial presents SQL Server query practices for improving performance, including selecting needed columns, indexing filters and joins, keeping predicates sargable, limiting result sets with pagination, and using execution plans and Query Store to diagnose slow queries. It also recommends parameterized queries to reduce SQL injection risk and enable plan reuse.

### Source excerpt

How to Query Data the Professional Way in SQL Server: A Performance-First Guide for Beginners