9Natree

PHP & MySQL: Server-side Web Development (Jon Duckett)

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- Interesting Topics:
- A Visual Route from PHP Syntax to Program Logic
- Turning Browser Requests into Dynamic PHP Pages
- SQL and MySQL as the Persistent Layer of a Website
- A Content Management System as the Integrating Project
- Refactoring, Dependency Injection, and Code Organization After the First Build

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PHP & MySQL: Server-side Web Development is an illustrated programming guide by Jon Duckett for readers learning to build database-backed web applications. Its subject is the connection between server-side PHP code, browser interactions, and MySQL data storage. Rather than treating syntax as an isolated subject, the book organizes learning around the parts of a functioning website: accepting input, processing requests, storing records, displaying tailored content, and extending an application over time. It begins with core programming constructs such as variables, control structures, functions, and objects, then moves into web-specific concerns including forms, files, dates, sessions, and error handling. Later sections introduce SQL and database updates before applying these skills to a content management application with membership and social-style features. The book belongs to the practical, beginner-oriented technical tutorial genre. Its principal purpose is to give readers a visual, incremental route from basic PHP literacy to an understanding of how dynamic websites are assembled and maintained.

SQL (LCF Publishing)

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- Interesting Topics:
- MySQL provides a concrete environment for learning relational database fundamentals
- Core data retrieval is the foundation for turning stored records into answers
- Database definition and data modification connect queries to the full record lifecycle
- Exercises based on table definitions make syntax practice dependent on data structure
- The culminating project tests integration rather than isolated command recall

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SQL: Learn SQL using MySQL in One Day and Learn It Well is a compact introductory programming guide published under LCF Publishing and positioned within a fast-learning coding series. Its subject is SQL, the language used to define, retrieve, organize, and modify data in relational databases, with MySQL serving as the practical database environment. The book is aimed at newcomers rather than experienced database administrators or analytics specialists. Its central purpose is to give readers a concentrated route from basic database concepts to writing usable queries, then reinforce those skills through a hands-on project. Available source information identifies a short format of roughly 127 pages and notes appendices containing table definitions for exercises modeled on real-world situations. The one-day framing should be understood as an intensive introduction, not as a claim that database competence can be completed in a day. The book therefore belongs to the practical tutorial genre: it prioritizes foundational SQL literacy, direct execution in MySQL, and repeated application over broad treatment of database theory or advanced platform administration.

SQL All-in-One For Dummies ) (Allen G. Taylor)

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- Interesting Topics:
- A seven-part structure connects introductory SQL to operational database work
- Database design and data definition are treated as foundations for trustworthy queries
- Query construction progresses from retrieval basics to multi-table and nested operations
- Integrity, recovery, access control, and error handling broaden SQL beyond coding
- Performance tuning and programming integration address the realities of deployed systems

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SQL All-in-One For Dummies is a broad technical guide to Structured Query Language and relational database work, written by Allen G. Taylor with Richard Blum credited on the current fourth edition. Published in the For Dummies Computer Tech line, it is organized as seven compact books within one large reference volume. Its purpose is not limited to teaching a reader how to write a basic query. It moves from database concepts, data definitions, and everyday retrieval to multi-table querying, programming features, security, error handling, backup, and performance concerns. The current edition is presented as updated for the SQL:2023 standard, while retaining an emphasis on concepts that apply across database products. This makes the book a bridge between learning SQL syntax and understanding the operational responsibilities attached to production data. Rather than treating a database as a passive collection of tables, it frames database work as a combination of accurate modeling, controlled change, reliable access, and maintainable application integration. Its all-in-one format supports both sequential study and targeted consultation.

Data Engineering with Python (Paul Crickard)

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- Interesting Topics:
- Data Engineering Is Presented as the Foundation Beneath Analytics and Data Science
- Python Serves as the Practical Layer for Extraction, Transformation, and Integration
- Data Models, Storage Choices, and File Formats Shape Pipeline Reliability
- Airflow and NiFi Illustrate Why Pipelines Need Orchestration Rather Than Manual Execution
- Staging, Validation, Streaming, and Deployment Turn ETL into a Production System

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Data Engineering with Python by Paul Crickard is a practical technical guide to building data systems that move, refine, and deliver information for analytics and operational use. Published by Packt, the book is aimed at aspiring data engineers, data analysts, ETL developers, and IT professionals shifting toward data engineering. Its scope extends beyond isolated Python scripts: it frames data engineering as a lifecycle involving source extraction, modeling, transformation, storage, orchestration, validation, and production deployment. Python is the connecting language, used alongside established open-source tools such as Apache Spark, Kafka, Airflow, NiFi, PostgreSQL, Elasticsearch, and Kibana. The book emphasizes work with large and varied datasets, including both batch and streaming flows. Rather than treating pipelines as simple one-time ETL jobs, it addresses the operational concerns that make them dependable, including staging, quality checks, failure handling, monitoring, and changes after release. Real-world examples and accompanying code position it as an implementation-oriented introduction to the data engineering toolchain.

The Data Warehouse ETL Toolkit (Ralph Kimball)

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- Interesting Topics:
- The 34-subsystem framework turns ETL into an explicit architecture
- Data profiling and change capture make source systems manageable
- Cleaning and conforming add value while preserving data accountability
- Dimension processing and slowly changing dimensions protect analytic history
- Production controls, metadata, and performance complete the ETL design

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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data is a technical design guide by Ralph Kimball and Joe Caserta, published in 2004 as part of the Kimball data warehousing body of work. It addresses the backroom processes that make dimensional data warehouses usable: obtaining data from operational sources, improving and standardizing it, and loading it reliably into dimensional presentation structures. Rather than treating extract, transform, and load work as a collection of tool-specific jobs, the book frames ETL as an architecture with recurring responsibilities and disciplined patterns. Its central organizing device is a set of 34 ETL subsystems, covering extraction, cleaning and conforming, delivery, and operational management. The book is therefore less a primer on SQL or a vendor manual than a practical reference for making ETL systems maintainable under real constraints. It connects technical processing choices to data quality, historical accuracy, dimensional modeling, metadata, performance, and production operations.

Successful Business Intelligence 2E (Cindi Howson)

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- Interesting Topics:
- Aligning Business Intelligence Strategy With Measurable Business Priorities
- Creating an Analytic Culture Beyond the Technology Stack
- Building Trusted Data Through Quality, Timeliness, and Governance
- Matching Data Warehouses, Hadoop, and New Platforms to the Workload
- Using Agile Delivery and Self-Service Discovery Without Losing Control

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Successful Business Intelligence, Second Edition, by Cindi Howson is a practical business and technology guide to building business intelligence programs that produce decision value rather than merely delivering reports. Written for business leaders, BI managers, analysts, and technology professionals, it treats BI as an organizational capability shaped by strategy, data, processes, people, and governance. The updated edition broadens its scope beyond conventional reporting and data warehousing to address big data, cloud delivery, mobile access, visual data discovery, and in-memory computing. Howson draws on her experience in BI consulting, product evaluation, and management reporting to emphasize choices organizations must make when translating business goals into usable analytic services. The book is not principally a technical manual for a specific platform. Instead, it provides a framework for assessing BI maturity, setting priorities, gaining executive support, selecting appropriate approaches, and measuring returns. Its central purpose is to help organizations avoid technology-led projects that lack adoption, trusted data, or a clear connection to business performance.

SQL Cookbook: Query Solutions and Techniques for All SQL Users (Anthony Molinaro)

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- Interesting Topics:
- Recipe-Based Organization Turns Query Problems into Reusable Patterns
- Cross-Dialect SQL Requires Attention to Both Common Logic and Local Syntax
- Window Functions Extend Reporting Beyond Ordinary Grouped Aggregates
- Common Table Expressions Improve the Structure of Multi-Step Queries
- Data Preparation Includes Numbers, Strings, and Result-Set Reshaping

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SQL Cookbook: Query Solutions and Techniques for All SQL Users is a technical reference and problem-solving guide by Anthony Molinaro and Robert de Graaf. Rather than presenting SQL as a linear course in database theory, it organizes knowledge around practical tasks that arise when querying, transforming, and reporting on relational data. Its recipes show executable approaches to familiar needs such as filtering rows, combining tables, calculating aggregates, handling strings and dates, reshaping result sets, and producing analytical calculations. The second edition reflects the broader availability of window functions and common table expressions across major database platforms. It also recognizes that SQL is used beyond traditional database development, including by analysts and data-oriented professionals who need reliable ways to inspect and prepare data. Examples address several important SQL implementations, notably Oracle, DB2, SQL Server, MySQL, and PostgreSQL. The book is therefore best understood as a bridge between knowing basic SQL syntax and selecting a robust query pattern for a concrete problem, while remaining alert to dialect-specific differences.

Snowflake (Joyce Kay Avila)

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- Interesting Topics:
- Multi-Cluster Shared Data Architecture Separates Compute from Storage
- Virtual Warehouses Turn Performance and Concurrency into Configurable Choices
- SQL-Based Data Loading and Analysis Support Modern Data Workflows
- Security, Governance, and Administration Are Core Platform Design Work
- Data Sharing and Integrated Applications Extend the Warehouse Beyond Reporting

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Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud is a technical guide by Joyce Kay Avila, published by O Reilly in 2022. It addresses Snowflake as a cloud data platform rather than treating it merely as a replacement for a conventional data warehouse. The book is aimed at practitioners who need to understand how the platform is structured, how its SQL-oriented workflow operates, and how to make design and administrative decisions that support analytics workloads. Its central subject is Snowflake architecture, especially the separation of persistent storage, query compute, and coordinating cloud services. From that foundation, the guide moves into practical concerns such as loading and querying data, managing virtual warehouses, securing access, and supporting reporting and data science use cases. Hands-on SQL examples and knowledge checks position the work as an applied learning resource, not simply an architectural overview. Avila draws on experience in data and cloud platforms to connect core platform concepts with the operational choices that determine performance, concurrency, governance, and usability.

Data Governance (Evren Eryurek)

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- Interesting Topics:
- Data Governance Is an Operating Model, Not a Standalone Tool
- Trustworthiness Requires Governance Across the Data Lifecycle
- Metadata, Catalogs, and Lineage Make Data Understandable and Auditable
- Data Quality Must Be Measured, Monitored, and Improved Continuously
- Cloud Scale and Streaming Data Demand Built-In Protection and Governance

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Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness is a 2021 professional technology guide by Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, and Jessi Ashdown. Written for the cloud-centered data environment, it treats governance not as a narrow compliance function or a software purchase, but as an operating model for making organizational data dependable and usable. The book addresses the full path from data ingestion and preparation to access, analysis, protection, and continuing improvement. Its central concern is data trustworthiness: whether people can understand data, locate its origin, assess its quality, use it appropriately, and rely on it for decisions. The authors connect organizational roles and policies with technical capabilities such as catalogs, lineage, security controls, monitoring, and support for streaming data. The result is a practical overview for leaders and practitioners who must widen access to data without abandoning privacy, security, accountability, or regulatory obligations.

Learning MySQL: Get a Handle on Your Data (Vinicius M. Grippa)

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- Interesting Topics:
- Database design and deployment establish the conditions for reliable MySQL use
- Basic and advanced querying link application needs to efficient data access
- Monitoring and troubleshooting make database operations evidence driven
- Security, backup, and recovery treat data protection as an operational system
- Performance tuning, high availability, load balancing, and cloud use address scale and continuity

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Learning MySQL: Get a Handle on Your Data is a practical technical guide to MySQL database use and administration by Vinicius M. Grippa and Sergey Kuzmichev, both associated with Percona. Published by O Reilly as a thoroughly updated second edition, it spans the path from relational database fundamentals and MySQL deployment to operational work in production. Its purpose is broader than teaching SQL syntax alone: it connects database design, querying, security, observability, backup, recovery, performance tuning, high availability, load balancing, and cloud deployment. The book is therefore positioned between an introductory MySQL text and an operations oriented reference for developers and database administrators. It addresses MySQL on physical servers, virtual machines, and cloud infrastructure, recognizing that database decisions are inseparable from the environment in which the service runs. The emphasis on availability, efficiency, and manageable cost reflects the authors professional support and engineering background. Readers should expect a hands-on overview of the technical areas that shape a reliable MySQL service, rather than a narrowly academic treatment of relational theory.