Mastering Clickhouse

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Mastering Clickhouse
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-03
Mastering Clickhouse written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
"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
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Author : Gilberto Persico
language : en
Publisher: BPB Publications
Release Date : 2025-06-05
Mastering Network Flow Traffic Analysis written by Gilberto Persico and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.
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
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-20
Efficient Analytics With Clickhouse written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
"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.
Mastering Apache Pinot
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-12-30
Mastering Apache Pinot written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
"Mastering Apache Pinot: Real-Time Analytics at Scale" is an authoritative resource designed to equip readers with the comprehensive knowledge needed to harness the full potential of Apache Pinot, a powerful real-time distributed OLAP datastore. As the demand for rapid data insights grows, Apache Pinot emerges as a vital tool, enabling organizations to process vast data streams with unmatched speed and efficiency. This book meticulously covers every facet of Apache Pinot, from setup to advanced configuration, providing readers a clear road map to deploying robust, scalable analytic solutions. The text delves into the practicalities of data ingestion, schema design, and query optimization, offering practical guidance for maximizing system performance. Readers will explore how to integrate Pinot with a wide array of data systems, securing data while ensuring seamless access and control. Real-world case studies across diverse industries are presented, demonstrating Apache Pinot's transformative role in driving data-driven decisions. Additionally, the book anticipates future trends and provides insights into best practices, empowering readers to stay ahead in the rapidly evolving analytics landscape. Ideal for data engineers, analysts, and IT professionals, "Mastering Apache Pinot" serves as both an instructive guide and a valuable reference, skillfully blending theoretical concepts with actionable insights. This book invites readers to not only implement effective analytics infrastructure but also actively contribute to the dynamic Apache Pinot community, fostering continued growth and innovation in real-time data processing.
Mastering The Data Paradox
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Author : Nitin Seth
language : en
Publisher: Penguin Random House India Private Limited
Release Date : 2024-03-18
Mastering The Data Paradox written by Nitin Seth and has been published by Penguin Random House India Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-18 with Computers categories.
There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless. This book provides us with opportunities to push our thinking, to innovate, to transform and to create a better future at all levels—individual, enterprise and the world.
Mastering Staroffice 5 2 For Linux
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Author : David D. Busch
language : en
Publisher:
Release Date : 2001
Mastering Staroffice 5 2 For Linux written by David D. Busch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Any user of this office program, but specifically intermediate users, will find this guide useful, as the documentation is poor. The book covers Linux, Windows, Solaris, and OS/2 platforms. The CD contains StarOffice 5.1 (all platforms).
Real Time Data Analysis
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-02-02
Real Time Data Analysis written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Business & Economics categories.
In a world where information is generated every second, the ability to analyze real-time data has become essential for companies and professionals seeking fast, insight-driven decisions. "REAL-TIME DATA ANALYSIS – Frameworks and Techniques for Fast Processing", written by Diego Rodrigues, is the definitive guide for those who want to master the fundamental technologies and architectures for continuous data processing. This book provides a practical and in-depth approach to the leading frameworks and strategies used in the industry, including Apache Kafka, Flink, Spark Streaming, ClickHouse, Redis, and Lambda and Kappa architectures. Through detailed explanations and applicable examples, you will learn how to design efficient data pipelines, handle high-speed, low-latency processing, and implement scalable solutions for streaming analysis. Beyond the essential concepts, the book explores real-time data security, performance optimization, and advanced applications in IoT, finance, cybersecurity, and machine learning. Whether you are a data engineer, data scientist, or IT professional looking for practical knowledge to build robust continuous analysis systems, this book is the ideal tool to enhance your skills and impact the market with innovative solutions. Master real-time data analysis and be prepared for the challenges of the digital age. TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF AWS Google Cloud IBM Azure Databricks Nvidia Meta Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR sql mysql startup
Mastering Distributed Tracing
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Author : Yuri Shkuro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Mastering Distributed Tracing written by Yuri Shkuro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Understand how to apply distributed tracing to microservices-based architectures Key FeaturesA thorough conceptual introduction to distributed tracingAn exploration of the most important open standards in the spaceA how-to guide for code instrumentation and operating a tracing infrastructureBook Description Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems. What you will learnHow to get started with using a distributed tracing systemHow to get the most value out of end-to-end tracingLearn about open standards in the spaceLearn about code instrumentation and operating a tracing infrastructureLearn where distributed tracing fits into microservices as a core functionWho this book is for Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters.
Apache Superset Quick Start Guide
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Author : Shashank Shekhar
language : en
Publisher:
Release Date : 2018-12-15
Apache Superset Quick Start Guide written by Shashank Shekhar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-15 with Computers categories.
Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards. Key Features Work with Apache Superset's rich set of data visualizations Create interactive dashboards and data storytelling Easily explore data Book Description Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers. What you will learn Get to grips with the fundamentals of data exploration using Superset Set up a working instance of Superset on cloud services like Google Compute Engine Integrate Superset with SQL databases Build dashboards with Superset Calculate statistics in Superset for numerical, categorical, or text data Understand visualization techniques, filtering, and grouping by aggregation Manage user roles and permissions in Superset Work with SQL Lab Who this book is for This book is for data analysts, BI professionals, and developers who want to learn Apache Superset. If you want to create interactive dashboards from SQL databases, this book is what you need. Working knowledge of Python will be an advantage but not necessary to understand this book.
Units In English
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Author : Harry Gilbert Paul
language : en
Publisher:
Release Date : 1933
Units In English written by Harry Gilbert Paul and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1933 with English language categories.