Mastering Clickhouse


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Mastering ClickHouse


Mastering ClickHouse

Author: Robert Johnson

language: en

Publisher: HiTeX Press

Release Date: 2025-01-03


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"Mastering ClickHouse: High-Performance Data Analytics for Modern Applications" serves as an indispensable guide for data professionals seeking to leverage the power of ClickHouse, the acclaimed open-source columnar database management system designed for online analytical processing (OLAP). This comprehensive resource delves into all aspects of ClickHouse, from its foundational architecture to advanced integration techniques, enabling readers to understand and exploit its full potential for processing massive datasets with remarkable speed and efficiency. Structured to cater to both novices and seasoned experts, this book provides step-by-step guidance on setting up ClickHouse environments, configuring the system for optimal performance, and implementing robust security measures. Readers will learn about efficient data ingestion techniques and query optimization strategies to maximize analytics throughput. Real-world use cases illustrate the versatility of ClickHouse across different industries, highlighting its ability to enhance decision-making processes through advanced analytics, real-time data insights, and seamless integration within diverse technology stacks. Whether you aim to refine your current data infrastructure or embark on a new analytics journey, this book offers the essential insights and practical skills needed to innovate and excel with ClickHouse.

Mastering Network Flow Traffic Analysis


Mastering Network Flow Traffic Analysis

Author: Gilberto Persico

language: en

Publisher: BPB Publications

Release Date: 2025-06-05


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DESCRIPTION The book aims to familiarize the readers with network traffic analysis technologies, giving a thorough understanding of the differences between active and passive network traffic analysis, and the advantages and disadvantages of each methodology. It has a special focus on network flow traffic analysis which, due to its scalability, privacy, ease of implementation, and effectiveness, is already playing a key role in the field of network security. Starting from network infrastructures, going through protocol implementations and their configuration on the most widely deployed devices on the market, the book will show you how to take advantage of network traffic flows by storing them on Elastic solutions to OLAP databases, by creating advanced reports, and by showing how to develop monitoring systems. CISOs, CIOs, network engineers, SOC analysts, secure DevOps, and other people eager to learn, will get sensitive skills and the knowledge to improve the security of the networks they are in charge of, that go beyond the traditional packet filtering approach. WHAT YOU WILL LEARN ● Implement flow analysis across diverse network topologies, and identify blind spots. ● Enable flow export from virtualized (VMware, Proxmox) and server environments. ● Ingest and structure raw flow data within Elasticsearch and Clickhouse platforms. ● Analyze flow data using queries for patterns, anomalies, and threat detection. ● Understand and leverage the network flow matrix for security, capacity insights. WHO THIS BOOK IS FOR This book is for network engineers, security analysts (SOC analysts, incident responders), network administrators, and secure DevOps professionals seeking to enhance their network security skills beyond traditional methods. A foundational understanding of network topologies, the OSI and TCP/IP models, basic network data capture concepts, and familiarity with Linux environments is recommended. TABLE OF CONTENTS 1. Foundation of Network Flow Analysis 2. Fixed and Dynamic Length Flow Protocols 3. Network Topologies 4. Implementing Flow Export on Layer 2 Devices 5. Implementing Flow Export on Layer 3 Devices 6. Implementing Flow Export on Servers 7. Implementing Flow Export on Virtualization Platforms 8. Ingesting Data into Clickhouse and Elasticsearch 9. Flow Data Analysis: Exploring Data for Fun and Profit 10. Understanding the Flow Matrix 11. Firewall Rules Optimization Use Case 12. Simple Network Anomaly Detection System Based on Flow Data Analysis

Efficient Analytics with ClickHouse


Efficient Analytics with ClickHouse

Author: Richard Johnson

language: en

Publisher: HiTeX Press

Release Date: 2025-06-20


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"Efficient Analytics with ClickHouse" Unlock the full potential of real-time, high-performance analytics with "Efficient Analytics with ClickHouse." This expertly crafted guide dives deep into the architectural foundations and advanced engineering principles behind ClickHouse, the leading open-source columnar database. Readers will gain thorough insight into ClickHouse’s core architecture, column-oriented storage, distributed system design, and compression strategies, developing an in-depth understanding of how the platform achieves rapid, scalable analysis across massive datasets. The book couples theoretical exposition with practical advice, unraveling internals—from the write path to query execution and consistency guarantees—that empower architects and engineers to make informed design decisions. Moving beyond database fundamentals, the book equips readers with actionable strategies for deployment, operational management, and robust cluster orchestration, whether on-premises or in cloud-native environments. It addresses essentials such as schema and table design, time-series and mutable data handling, seamless ETL and streaming integrations, resilient backup and disaster recovery, and ironclad security and compliance controls. Rich, hands-on chapters guide through the intricacies of node organization, hardware optimization, monitoring, and high-availability strategies, ensuring high uptime and operational agility in production environments. Designed for both technical architects and data engineers, "Efficient Analytics with ClickHouse" also explores advanced topics central to delivering business-critical analytics solutions, including performance engineering, adaptive query optimization, and ecosystem integration with leading BI, data lake, and machine learning tools. Readers will come away equipped not only to build blazing-fast analytical infrastructures, but also to extend ClickHouse’s capabilities for modern, evolving data workloads. This definitive guide is an essential companion for those seeking mastery in next-generation analytics at scale.