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The Mysql Engineer


The Mysql Engineer
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The Mysql Engineer


The Mysql Engineer
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Author : SOHAIL. MOHAMMED
language : en
Publisher: Independently Published
Release Date : 2025-03-20

The Mysql Engineer written by SOHAIL. MOHAMMED and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Computers categories.


Introduction Welcome to The MySQL Engineer - Step-by-Step Learning of Essential Techniques for Efficient MySQL Database Development and Administration, a comprehensive guide to mastering MySQL, one of the world's most popular relational database management systems. Whether you are a budding developer, a seasoned database administrator, or an IT professional looking to deepen your understanding of MySQL, this book is designed to provide you with practical knowledge and industry insights. In today's data-driven world, efficient database management is critical for the success of applications and businesses. MySQL, known for its reliability, scalability, and open-source nature, continues to be the backbone of many web applications, enterprise systems, and cloud infrastructures. However, to truly leverage its power, one must not only understand its syntax and functionality but also the best practices, optimization techniques, and advanced features that enable high-performance database solutions. This book is structured to guide you from the fundamentals of MySQL to advanced topics, including database design, indexing strategies, query optimization, replication, security, and performance tuning. Each chapter is crafted to offer hands-on exercises, real-world scenarios, and practical insights that will help you apply the knowledge effectively in your projects and professional work. As you embark on this journey, my goal is to make you a proficient MySQL engineer, equipped with the skills to design, implement, and maintain robust database systems. Whether you are building a small-scale application or managing large, distributed databases, the concepts and techniques discussed in this book will empower you to harness MySQL's full potential. Thank you for choosing The MySQL Engineer. I hope this book serves as a valuable resource in your journey toward mastering MySQL and excelling in the ever-evolving field of database engineering. Happy learning! About the author and the book "THE MYSQL ENGINEER- Step-by-Step Learning of Essential Techniques for Efficient MySQL Database Development and Administration." is written by Sohail Mohammed, a professional who has 15 years of industry and academics experience. The author has taught MySQL Database Management System, Java Netbeans, Python, Networking, Emerging Technologies and Web Applications. He has also worked as a Software Quality Assurance Engineer on different projects. The salient features of the book are: This book is for Step-by-Step Learning of Essential Techniques for Efficient MySQL Database Development and Administration. Comprehensive coverage of basic to advanced topics taught and practiced in MySQL Data Base Management System and Structured Query Language. Explanation is provided with adequate amount of examples and syntax. The book is written in easy to understand lucid language. Though the commands taught are from MySQL RDBMS, comprehensive explanation of commands from other RDBMS software also included where found necessary. Learning through Case Studies Learning through Real World Projects Quick Reference of Syntaxes, Examples and Data Types of SQL commands. His other publications of Computer Sciences are: "Networks Unraveled- A Comprehensive Guide to Modern Computer Networking" "The Cyber Crime Frontier-Understanding Cyber Crime, Cyber Forensics, U.S. Federal Cyber Laws, Cyber Security Techniques, Digital Forensics and Encryption" "SQL SUCCESS-A Beginner's and High Schooler's Guide to Professional Database Management"



Data Engineering With Google Cloud Platform


Data Engineering With Google Cloud Platform
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Author : Adi Wijaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-30

Data Engineering With Google Cloud Platform written by Adi Wijaya 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 2024-04-30 with Computers categories.


Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions Key Features Get up to speed with data governance on Google Cloud Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.What you will learn Load data into BigQuery and materialize its output Focus on data pipeline orchestration using Cloud Composer Formulate Airflow jobs to orchestrate and automate a data warehouse Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster Harness Pub/Sub for messaging and ingestion for event-driven systems Apply Dataflow to conduct ETL on streaming data Implement data governance services on Google Cloud Who this book is for Data analysts, IT practitioners, software engineers, or any data enthusiasts looking to have a successful data engineering career will find this book invaluable. Additionally, experienced data professionals who want to start using Google Cloud to build data platforms will get clear insights on how to navigate the path. Whether you're a beginner who wants to explore the fundamentals or a seasoned professional seeking to learn the latest data engineering concepts, this book is for you.



Building Secure And Scalable Data Environments A Comprehensive Guide For Data Engineers


Building Secure And Scalable Data Environments A Comprehensive Guide For Data Engineers
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Author : Ronak Kumar Bathani
language : en
Publisher: Xoffencer international book publication house
Release Date : 2024-12-30

Building Secure And Scalable Data Environments A Comprehensive Guide For Data Engineers written by Ronak Kumar Bathani and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Architecture categories.


I set out to write this book during the uncertainty of the COVID-19 pandemic. It was at a time where we, as a people, spent more and more time indoors (if we could) distracting ourselves from the outside world in the form of increased digital connectivity and entertainment. In the place of social interactions in real-life, we went online. It became routine to meet up with friends and family for calls over Zoom and we focused on the people (and things) that mattered most to us. We shared our lives and worlds the only way we could: digitally. Fast forward to today, more than a year later, and while the pandemic is still here, there is hope now. I am hopeful. This is definitely not the way I imagined I would start my first book, with a retrospective, but as we look toward the future, it is hard not to see the lasting impact the last two years (2020-2022) has had on the very way humanity interacts with the world. As more experiences shift to virtual and more and more collaboration takes place online, we need to take a fundamentally different approach to how we architect our next- generation platforms, frameworks, and technologies. The magnitude shifts in system scale and processing power require evolutionary thinking, revolutionary data platforms, and data-centric ecosystems to emerge to power this digital future. Hyper connectivity and intelligent automation will power real-time, consistent data systems at an incredible scale and today is just the beginning. This book is not about the future, but rather it teaches you how to build reliable data systems today, harnessing the incredible power of Apache Spark to orchestrate consistent scalable streaming applications built from the fundamental building blocks of the modern data ecosystem, by you, the modern data engineer. Using a hands-on approach, you learn to leverage many of the best practices and problem-solving skills necessary to make it in the exciting field of data engineering.



Data Engineering With Scala And Spark


Data Engineering With Scala And Spark
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Author : Eric Tome
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-31

Data Engineering With Scala And Spark written by Eric Tome 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 2024-01-31 with Computers categories.


Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is for This book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.



Software Engineering


Software Engineering
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Author : Claude Petitpierre
language : en
Publisher: EPFL Press
Release Date : 2006-06-02

Software Engineering written by Claude Petitpierre and has been published by EPFL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-02 with Computers categories.


Software Engineering: The Implementation Phase provides the conceptual foundation required for the design and development of complex distributed and real-time applications. It summarizes a large spectrum of concepts, enabling readability and ease of comprehension by concentrating on Java and presenting mainly the programmatic aspects and basic functioning. The idea behind this book is not to overwhelm the reader, but instead provide sufficient information for the creation of prototypes, covering most aspects of an application. This volume guides you to determine for yourself which is the best global architecture for an application: thin or thick client; direct database access or EJBs; listeners or multi-threading; etc. It also presents a number of architectures, namely sets of components, threads and links, around which the functionalities of the application may be built and checked incrementally. One of the strengths of this book is the availability of simple examples, which have all been carefully checked and are available at the book's website.



Google Cloud Platform For Data Engineering


Google Cloud Platform For Data Engineering
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Author : Alasdair Gilchrist
language : en
Publisher: Alasdair Gilchrist
Release Date :

Google Cloud Platform For Data Engineering written by Alasdair Gilchrist and has been published by Alasdair Gilchrist this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Google Cloud Platform for Data Engineering is designed to take the beginner through a journey to become a competent and certified GCP data engineer. The book, therefore, is split into three parts; the first part covers fundamental concepts of data engineering and data analysis from a platform and technology-neutral perspective. Reading part 1 will bring a beginner up to speed with the generic concepts, terms and technologies we use in data engineering. The second part, which is a high-level but comprehensive introduction to all the concepts, components, tools and services available to us within the Google Cloud Platform. Completing this section will provide the beginner to GCP and data engineering with a solid foundation on the architecture and capabilities of the GCP. Part 3, however, is where we delve into the moderate to advanced techniques that data engineers need to know and be able to carry out. By this time the raw beginner you started the journey at the beginning of part 1 will be a knowledgable albeit inexperienced data engineer. However, by the conclusion of part 3, they will have gained the advanced knowledge of data engineering techniques and practices on the GCP to pass not only the certification exam but also most interviews and practical tests with confidence. In short part 3, will provide the prospective data engineer with detailed knowledge on setting up and configuring DataProc - GCPs version of the Spark/Hadoop ecosystem for big data. They will also learn how to build and test streaming and batch data pipelines using pub/sub/ dataFlow and BigQuery. Furthermore, they will learn how to integrate all the ML and AI Platform components and APIs. They will be accomplished in connecting data analysis and visualisation tools such as Datalab, DataStudio and AI notebooks amongst others. They will also by now know how to build and train a TensorFlow DNN using APIs and Keras and optimise it to run large public data sets. Also, they will know how to provision and use Kubeflow and Kube Pipelines within Google Kubernetes engines to run container workloads as well as how to take advantage of serverless technologies such as Cloud Run and Cloud Functions to build transparent and seamless data processing platforms. The best part of the book though is its compartmental design which means that anyone from a beginner to an intermediate can join the book at whatever point they feel comfortable.



Advances In Multimedia Software Engineering And Computing Vol 2


Advances In Multimedia Software Engineering And Computing Vol 2
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Author : David Jin
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-23

Advances In Multimedia Software Engineering And Computing Vol 2 written by David Jin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-23 with Technology & Engineering categories.


MSEC2011 is an integrated conference concentrating its focus upon Multimedia, Software Engineering, Computing and Education. In the proceeding, you can learn much more knowledge about Multimedia, Software Engineering ,Computing and Education of researchers all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned field. In order to meet high standard of Springer, AISC series ,the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organization had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.



Mysql High Availability


Mysql High Availability
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Author : Charles Bell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2010-06-28

Mysql High Availability written by Charles Bell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-28 with Computers categories.


Server bottlenecks and failures are a fact of life in any database deployment, but they don't have to bring everything to a halt. MySQL has several features that can help you protect your system from outages, whether it's running on hardware, virtual machines, or in the cloud. MySQL High Availability explains how to use these replication, cluster, and monitoring features in a wide range of real-life situations. Written by engineers who designed many of the tools covered inside, this book reveals undocumented or hard-to-find aspects of MySQL reliability and high availability -- knowledge that’s essential for any organization using this database system. Explore the binary log, a file for replication that helps in disaster recovery and troubleshooting Get techniques for improving response time and handling large data sets Monitor database activity and performance, as well as major operating system parameters Keep track of what masters and slaves are doing, and deal with failures and restarts, corruption, and other incidents Automate key tasks with code from an open source library written by the authors Learn techniques for using MySQL in virtualized environments, such as Amazon Web Services Use MySQL Cluster to achieve high availability "MySQL replication is widely deployed but has never been adequately explained. This book changes that."-- Mark Callaghan, MySQL contributor and leader of MySQL engineering efforts at a few of the world's largest Internet companies



Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications


Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications
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Author : Tran Khanh Dang
language : en
Publisher: Springer Nature
Release Date : 2022-11-19

Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications written by Tran Khanh Dang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-19 with Computers categories.


This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23–25, 2022. The 41 full papers(including 4 invited keynotes) and 12 short papers included in this book were carefully reviewed and selected from 170 submissions. They were organized in topical sections as follows: ​invited keynotes; big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and security and data engineering.



Mysql High Availability


Mysql High Availability
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Author : Charles Bell
language : en
Publisher: O'Reilly Media
Release Date : 2013-09-30

Mysql High Availability written by Charles Bell and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with Computers categories.


Server bottlenecks and failures are a fact of life in any database deployment, but they don’t have to bring everything to a halt. This practical book explains replication, cluster, and monitoring features that can help protect your MySQL system from outages, whether it’s running on hardware, virtual machines, or in the cloud. Written by engineers who designed many of the tools covered, this book reveals undocumented or hard-to-find aspects of MySQL reliability and high availability—knowledge that’s essential for any organization using this database system. This second edition describes extensive changes to MySQL tools. Versions up to 5.5 are covered, along with several 5.6 features. Learn replication fundamentals, including use of the binary log and MySQL Replicant Library Handle failing components through redundancy Scale out to manage read-load increases, and use data sharding to handle large databases and write-load increases Store and replicate data on individual nodes with MySQL Cluster Monitor database activity and performance, and major operating system parameters Keep track of masters and slaves, and deal with failures and restarts, corruption, and other incidents Examine tools including MySQL Enterprise Monitor, MySQL Utilities, and GTIDs