Real-Time Analytics Techniques to Analyze and Visualize 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

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 Analytics With IBM 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

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

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

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

Data Lake Development with Big Data: Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

Visual Analytics With Tableau

Building Data Pipelines Using Apache Beam: Deliver Unified Batch and Streaming Pipelines for Real-World Production Across Dataflow, Flink, and Spark

Fast Data Processing with Spark 2: Accelerate your data for rapid insight

streaming systems the what where when and how of large scale data processin

Hands-On Big Data Analytics with PySpark: Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition)

Monitoring Cloud-Native Applications

Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale

Learning Spark LightningFast B

Data Analytics with Hadoop: An Introduction for Data Scientists