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Real-Time Analytics Techniques to Analyze and Visualize Streaming Data

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Real-Time Data Processing: Harnessing the Power of Streaming Data

Real-Time Data Processing: Harnessing the Power of Streaming Data

ClickHouse Real-Time Analytics Projects: Build High-Performance Pipelines With Kafka, dbt, Logs, Security Events, And Streaming Dashboards For Modern Data Engineering

ClickHouse Real-Time Analytics Projects: Build High-Performance Pipelines With Kafka, dbt, Logs, Security Events, And Streaming Dashboards For Modern Data Engineering

Kafka for Enterprise Engineers: Event Streaming, Distributed Systems, and Real-Time Architectures

Kafka for Enterprise Engineers: Event Streaming, Distributed Systems, and Real-Time Architectures

Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

Streaming Analytics With IBM Streams

John Wiley Sons

Streaming Analytics With IBM Streams

Streaming Architecture: New Designs Using Apache Kafka and MapR Streams

Streaming Architecture: New Designs Using Apache Kafka and MapR Streams

Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks

Packt Publishing

Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks

Event Streams in Action: Real-time event systems with Kafka and Kinesis

Event Streams in Action: Real-time event systems with Kafka and Kinesis

Practical Data Engineering with Apache Projects: Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More

Practical Data Engineering with Apache Projects: Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More

Real-Time & Stream Data Management: Push-Based Data in Research & Practice

Real-Time & Stream Data Management: Push-Based Data in Research & Practice

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Packt Publishing

Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

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