Tabla de Contenidos: “…-- Example - SQL Server versus Oracle pricing for AWS RDS -- SQL Server -- Oracle -- PostgreSQL -- MySQL -- MongoDB -- IaaS versus PaaS versus serverless -- IaaS database optimization -- Rational database use -- Backup storage optimization -- Shared Disks for database clusters -- Shrinking relational databases -- Database grouping in SQL Server -- PaaS database optimization -- Compute optimization and rightsizing -- Database grouping -- Database scaling -- Serverless versus Provisioned Compute -- Backup storage and redundancy -- Reserved capacity -- Azure -- AWS -- Google -- Licensing optimization -- Bring your own license (BYOL) -- Development scenarios -- Summary -- Chapter 9: Implementing Storage Optimization -- Storage key concepts -- Types of storage in the cloud -- Thick versus thin provisioning in disks -- Disk snapshots -- Storage redundancy -- Block storage -- File storage -- Object storage -- Block storage optimization -- Snapshot optimization -- Ephemeral disks -- Disk rightsizing -- Offloading to file and object storage…”

Tabla de Contenidos: “…-- Maintaining a complete history of infrastructure changes -- Testing environments -- Catching configuration drifts -- Gaining higher confidence -- Managing multiple environments -- Better understanding your cloud resources -- Reducing effort -- Reducing errors -- Best practices for automating architectures on Azure -- Best practices for using IaC -- Summary -- Chapter 6: Optimize Performance with Azure OLTP Solutions -- OLTP applications -- Transactional data -- Traits and properties -- Use cases for OLTP -- Relational databases -- OLTP in Azure -- Azure SQL Database -- Azure SQL Managed Instance -- Azure Cosmos DB -- Azure Database for PostgreSQL -- Azure Database for MySQL -- Choosing the right service -- Scenarios for analytics -- Transactional querying -- Datamarts and data warehouses -- Azure Synapse Analytics -- Azure Databricks -- Cost optimization -- DTU-based pricing -- vCore-based pricing -- Request units (RUs) -- Reserved capacity -- How to choose the appropriate pricing model -- Summary -- Chapter 7: Designing Serverless Architecture Solutions in Azure -- Understanding the serverless platform in Microsoft Azure -- Building serverless apps with Azure Functions -- Use cases and scenarios -- Language runtime -- Triggers and bindings -- Hosting plans -- Performance and scale -- Business continuity -- Building stateful workloads with Durable Functions -- Language support -- Function types -- Storage providers -- Data persistence and serialization -- Automating workflows with Azure Logic Apps -- Integrating apps with Azure Event Grid…”

Tabla de Contenidos: “…Intro -- 内容提 -- 作 简介 -- 审稿人简介 -- 前 -- 源与支持 -- 目录 -- 第1章 取数据与清洗数据 -- 1.1 简介 -- 1.2 使用 Java 从分层目录中提取所有文件名 -- 准备工作 -- 操作步 -- 1.3 使用Apache Commons IO从多层目录中提取所有文件名 -- 准备工作 -- 操作步 -- 1.4 使用 Java 8 从文本文件一次性 取所有内容 -- 操作步 -- 1.5 使用Apache Commons -- 准备工作 -- 操作方法 -- 1.6 使用Apache Tika 提取PDF 文本 -- 准备知 -- 操作步 -- 1.7 使用正则 式清洗 ASCII 文本文件 -- 操作步 -- 1.8 使用Univocity 析CSV 文件 -- 准备工作 -- 操作步 -- 1.9 使用Univocity 析TSV 文件 -- 准备工作 -- 操作步 -- 1.10 使用JDOM 析XML 文件 -- 准备工作 -- 操作步 -- 1.11 使用JSON.simple 编写JSON 文件 -- 准备工作 -- 操作步 -- 1.12 使用JSON.simple 取JSON 文件 -- 准备工作 -- 操作步 -- 1.13 使用JSoup 从一个URL 提取Web 数据 -- 准备工作 -- 操作步 -- 1.14 使用Selenium Webdriver 从网站提取Web 数据 -- 准备工作 -- 操作步 -- 1.15 从MySQL 数据库 取 格数据 -- 准备工作 -- 操作步 -- 第2章 为数据建立索引与搜索数据 -- 2.1 简介 -- 2.2 使用Apache Lucene 为数据建立索引 -- 准备工作 -- 操作步 -- 工作原理 -- 2.3 使用Apache Lucene 搜索带索引的数据 -- 准备工作 -- 操作步 -- 第3章 数据统 分析 -- 3.1 简介 -- 3.2 生成描 性统 -- 操作步 -- 3.3 生成概 统 -- 操作步 -- 3.4 从多种分布生成概 统 -- 操作步 -- 更多内容 -- 3.5 算 率分布 -- 操作步 -- 3.6 算字符串中的 -- 操作步 -- 工作原理 -- 3.7 使用Java 8 算字符串中的 -- 操作步 -- 3.8 算简单回归 -- 操作步 -- 3.9 算普 最小二乘回归 -- 操作步 -- 3.10 算广义最小二乘回归 -- 操作步 -- 3.11 算两组数据点的协方差 -- 操作步 -- 3.12 为两组数据点 算皮尔 相关系数 -- 操作步 -- 3.13 执 对t检 -- 操作步 -- 3.14 执 卡方检 -- 操作步 -- 3.15 执 单因素方差分析 one-way ANOVA test -- 操作步 -- 3.16 执 K-S 检 -- 操作步 -- 第4章 数据学习I -- 4.1 简介 -- 4.2 创建与保存ARFF 文件 -- 操作步 -- 4.3 对机器学习模型 交叉 -- 操作步 -- 4.4 对新的测 数据 分类 -- 准备工作 -- 操作步 -- 4.5 使用 滤分类器对新测 数据分类 -- 操作步 -- 4.6 创建线性回归模型 -- 操作步 -- 4.7 创建 回归模型 -- 操作步 -- 4.8 使用K均值算法对数据点 类 -- 操作步 -- 4.9 依据类别对数据 类处理 -- 操作方法 -- 4.10 学习数据 的关 则 -- 准备工作 -- 操作步 -- 4.11 使用低层方法、 滤方法、元分类器方法 择特征/属性 -- 准备工作 -- 操作步 -- 第5章 数据学习II -- 5.1 简介 -- 5.2 使用Java 机器学习库 Java-ML 向数据应用机器学习 -- 准备工作 -- 操作步 -- 5.3 使用斯坦福分类器对数据点分类 -- 准备工作 -- 操作步 -- 工作原理 -- 5.4 使用MOA 对数据点分类 -- 准备工作 -- 操作步 -- 5.5 使用 Mulan 对多标签数据点 分类 -- 准备工作 -- 操作步 -- 第6章 从文本数据提取信息 -- 6.1 简介 -- 6.2 使用Java 检测标 单…”

Tabla de Contenidos: “…. -- There's more... -- Security -- Using MySQL instead -- Sensing and sending data to online services -- Getting ready -- How to do it... -- How it works... -- See also -- Chapter 11: Building Neural Network Modules for Optical Character Recognition -- Introduction -- Visualizing optical characters -- How to do it... -- Building an optical character recognizer using neural networks -- How to do it... -- How it works... -- See also -- Applications of an OCR system -- Chapter 12: Building Robots -- Introduction -- Building a Rover-Pi robot with forward driving motors -- Getting ready -- How to do it... -- How it works... -- There's more... -- Darlington array circuits -- Transistor and relay circuits -- Tethered or untethered robots -- Rover kits -- Using advanced motor control -- Getting ready -- How to do it... -- How it works... -- There's more... -- Motor speed control using PWM control -- Using I/O expanders -- Building a six-legged Pi-Bug robot -- Getting ready -- How to do it... -- How it works... -- Controlling the servos -- The servo class -- Learning to walk -- The Pi-Bug code for walking -- Controlling servos directly with ServoBlaster -- Getting ready -- How to do it... -- How it works... -- Using an infrared remote control with your Raspberry Pi -- Getting ready -- How to do it... -- There's more... -- Avoiding objects and obstacles -- Getting ready…”

Tabla de Contenidos: “…. -- How it works... -- Running a MySQL command remotely -- Getting ready -- How to do it... -- How it works... -- Transferring files to a remote machine over SSH -- Getting ready -- How to do it... -- How it works... -- Configuring Apache remotely to host a website -- Getting ready -- How to do it... -- How it works... -- Chapter 7: Working with Web Services - XML-RPC, SOAP, and REST -- Introduction -- Querying a local XML-RPC server -- Getting ready -- How to do it... -- How it works... -- Writing a multithreaded, multicall XML-RPC server -- How to do it... -- How it works... -- Running an XML-RPC server with a basic HTTP authentication -- How to do it... -- How it works... -- Collecting some photo information from Flickr using REST -- How to do it... -- How it works... -- Searching for SOAP methods from an Amazon S3 web service -- Getting ready -- How to do it... -- How it works... -- Searching Amazon for books through the product search API -- Getting ready -- How to do it... -- How it works... -- Creating RESTful web applications with Flask -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…Microsoft Power Automate versus Azure Logic Apps -- Azure Functions versus Azure Logic Apps -- Understanding triggers, events, and actions -- Working with Azure Functions -- Creating an Azure Function -- Creating the Function App -- Defining the Function -- Creating the Function -- Testing -- Configuring Function App settings -- Building Workflows with Azure Logic Apps -- Creating an Azure Logic App -- Deploying the resource in the Azure portal -- Defining the workflow -- Testing the trigger and action -- Chapter 9 Managing Databases in Microsoft Azure -- Revisiting the IaaS versus PaaS Question -- Controlling the environment -- Running any version of any database -- Using preinstalled VMs from Azure Marketplace -- Comparing Relational and Nonrelational Databases in Azure -- SQL Database -- SQL Database for MySQL Servers -- Azure Database for MariaDB Servers -- Azure Database for PostgreSQL Servers -- Implementing Azure SQL Database -- Understanding service tiers -- DTU-based service tier -- vCore service tier -- Elastic pool model -- Deploying an SQL Database and an SQL Database virtual server -- Configuring the database -- Firewall -- Connection strings -- Georeplication -- Configure -- Inspecting the virtual server -- Connecting to the database -- Implementing Azure Cosmos DB -- Understanding Cosmos DB -- Multimodel -- Turnkey global distribution -- Multiple consistency levels -- Creating a Cosmos DB account -- Running and debugging a sample Cosmos DB application -- Interacting with Cosmos DB -- Chapter 10 Using Data Analytics and Machine Learning in Azure -- Dipping into Data Analytics -- Azure Synapse Analytics -- Azure HDInsight -- Azure Databricks -- IoT in a Nutshell -- Azure IoT Hub -- Azure IoT Central -- Azure Sphere -- Accessing Azure Machine Learning and Cognitive Solutions -- Azure Machine Learning -- Azure Cognitive Services…”

Tabla de Contenidos: “…. -- How it works... -- Installing the MySQL 5.7 database server -- Getting started -- How to do it... -- How it works... -- Installing the MongoDB 3.2 database server -- Getting started -- How to do it... -- How it works... -- Chapter 2: Learning Dependency Injection (DI) -- Implementing a Spring container using XML -- Getting started -- How to do it... -- How it works... -- Implementing a Spring container using JavaConfig -- Getting started -- How to do it... -- How it works... -- Managing beans in an XML-based container -- Getting started -- How to do it... -- How it works... -- Managing beans in the JavaConfig container -- Getting started -- How to do it... -- How it works... -- Creating Singleton and Prototype beans -- Getting started -- How to do it... -- How it works... -- Defining eager and lazy spring beans -- Getting started -- How to do it... -- How it works... -- Creating an inner bean -- Getting started -- How to do it... -- How it works... -- Injecting Collections and Properties…”

Tabla de Contenidos: “…About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 52: PostToGuestBook() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 53: GetGuestBook() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 54: PostToChat() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 55: ViewChat() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 56: SendTweet() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 57: SendDirectTweet() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 58: GetTweets() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 59: ReplaceSmileys() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 60: ReplaceSMSTalk() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Chapter 9: MySQL, Sessions, and Cookies -- Recipe 61: AddUserToDB() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 62: GetUserFromDB() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 63: VerifyUserInDB() -- About the Recipe -- Variables, Arrays, and Functions -- How It Works -- How to Use It -- The Recipe -- Recipe 64: SanitizeString() and MySQLSanitizeString() -- About the Recipes -- Variables, Arrays, and Functions -- How They Work -- How to Use Them…”

Tabla de Contenidos: “…Simplifying relationships using normalization -- Translating an ER model into a relational model -- Chapter 3 Getting to Know SQL -- Where SQL Came From -- Knowing What SQL Does -- The ISO/IEC SQL Standard -- Knowing What SQL Does Not Do -- Choosing and Using an Available DBMS Implementation -- Microsoft Access -- Microsoft SQL Server -- IBM DB2 -- Oracle Database -- Sybase SQL Anywhere -- MySQL -- PostgreSQL -- Chapter 4 SQL and the Relational Model -- Sets, Relations, Multisets, and Tables -- Functional Dependencies -- Keys -- Views -- Users -- Privileges -- Schemas -- Catalogs -- Connections, Sessions, and Transactions -- Routines -- Paths -- Chapter 5 Knowing the Major Components of SQL -- Creating a Database with the Data Definition Language -- The containment hierarchy -- Creating tables -- Specifying columns -- Creating other objects -- Views -- Schemas -- Domains -- Modifying tables -- Removing tables and other objects -- Operating on Data with the Data Manipulation Language (DML) -- Retrieving data from a database -- Adding data to a table -- Adding data the dull and boring way (typing it in) -- Adding incomplete records -- Adding data in the fastest and most efficient way: Bypassing typing altogether -- Updating data in a table -- Deleting data from a table -- Updating views doesn't make sense -- Maintaining Security in the Data Control Language (DCL) -- Granting access privileges -- Revoking access privileges -- Preserving database integrity with transactions -- Chapter 6 Drilling Down to the SQL Nitty-Gritty -- Executing SQL Statements -- Interactive SQL -- Challenges to combining SQL with a host language -- Embedded SQL -- Module language -- Using Reserved Words Correctly -- SQL's Data Types -- Exact numerics -- INTEGER -- SMALLINT -- BIGINT -- NUMERIC -- DECIMAL -- DECFLOAT -- Approximate numerics -- REAL -- DOUBLE PRECISION -- FLOAT…”

Tabla de Contenidos: “…-- 13.2 Hadoop: The File System and the Processor -- 13.3 Using HDFS -- 13.4 Example PySpark Script -- 13.5 Spark Overview -- 13.6 Spark Operations -- 13.7 Two Ways to Run PySpark -- 13.8 Configuring Spark -- 13.9 Under the Hood -- 13.10 Spark Tips and Gotchas -- 13.11 The MapReduce Paradigm -- 13.12 Performance Considerations -- 13.13 Further Reading -- 13.14 Glossary -- Chapter 14 Databases -- 14.1 Relational Databases and MySQL® -- 14.2 Key-Value Stores -- 14.3 Wide Column Stores -- 14.4 Document Stores -- 14.5 Further Reading -- 14.6 Glossary -- Chapter 15 Software Engineering Best Practices -- 15.1 Coding Style -- 15.2 Version Control and Git for Data Scientists -- 15.3 Testing Code -- 15.4 Test-Driven Development -- 15.5 AGILE Methodology -- 15.6 Further Reading -- 15.7 Glossary -- Chapter 16 Natural Language Processing -- 16.1 Do I Even Need NLP? …”

Tabla de Contenidos: “…3.1 Network services from an attacker's perspective -- 3.1.1 Understanding network service communication -- 3.1.2 Identifying listening network services -- 3.1.3 Network service banners -- 3.2 Port scanning with Nmap -- 3.2.1 Commonly used ports -- 3.2.2 Scanning all 65,536 TCP ports -- 3.2.3 Sorting through NSE script output -- 3.3 Parsing XML output with Ruby -- 3.3.1 Creating protocol-specific target lists -- Summary -- 4 Discovering network vulnerabilities -- 4.1 Understanding vulnerability discovery -- 4.1.1 Following the path of least resistance -- 4.2 Discovering patching vulnerabilities -- 4.2.1 Scanning for MS17-010 Eternal Blue -- 4.3 Discovering authentication vulnerabilities -- 4.3.1 Creating a client-specific password list -- 4.3.2 Brute-forcing local Windows account passwords -- 4.3.3 Brute-forcing MSSQL and MySQL database passwords -- 4.3.4 Brute-forcing VNC passwords -- 4.4 Discovering configuration vulnerabilities -- 4.4.1 Setting up Webshot -- 4.4.2 Analyzing output from Webshot -- 4.4.3 Manually guessing web server passwords -- 4.4.4 Preparing for focused penetration -- Summary -- Phase 3. …”

Tabla de Contenidos: “…. -- Reading table data from a MySQL database -- Getting ready -- How to do it... -- Chapter 2: Indexing and Searching Data -- Introduction -- Indexing data with Apache Lucene -- Getting ready -- How to do it... -- How it works... -- Searching indexed data with Apache Lucene -- Getting ready -- How to do it... -- Chapter 3: Analyzing Data Statistically -- Introduction -- Generating descriptive statistics -- How to do it... -- Generating summary statistics -- How to do it... -- Generating summary statistics from multiple distributions -- How to do it... -- There's more...…”

Tabla de Contenidos: “…-- Replication for SolrCloud -- TLOG replicas -- PULL replicas -- Schemaless improvements -- Autoscaling -- Default numeric types -- Spatial fields -- SolrJ -- JMX and MBeans -- Other changes -- Summary -- Chapter 2: Getting Started -- Solr installation -- Understanding various files and the folder structure -- bin -- Solr script -- Post script -- contrib -- DataImportHandler -- ContentExtractionLibrary -- LanguageIdentifier -- Clustering -- VelocityIntegration -- dist and docs -- example -- core.properties -- zoo.cfg -- solr.xml -- server -- Running Solr -- Running basic Solr commands -- Production Solr setup -- Loading sample data -- Loading data from MySQL -- Understanding the browse interface -- Using the Solr admin interface -- Dashboard -- Logging -- Cloud screens -- Tree view -- Graph view -- Collections or core admin -- Java properties -- Thread dump -- Collection-specific tools -- Overview -- Analysis -- DataImport -- Documents -- Files -- Query -- Stream -- Schema -- Core-specific tools -- Summary -- Chapter 3: Designing Schemas -- How Solr works -- Getting started with Solr's basics -- The schema file of Solr -- Understanding field types -- Definitions and properties of field types -- Field type properties -- Field types available in Solr -- Understanding date fields -- Understanding currencies and exchange rates -- Understanding enum fields -- Field management…”

Tabla de Contenidos: “…-- Understanding geospatial databases -- Sharing data with interchange formats -- Introducing spatiotemporal data -- Summary -- Questions -- Further reading -- Chapter 3: The Geospatial Technology Landscape -- Technical requirements -- Understanding data access -- GDAL -- PDAL -- Understanding computational geometry -- The PROJ projection library -- CGAL -- JTS -- GEOS -- PostGIS -- Other spatially enabled databases -- Routing -- Understanding desktop tools (including visualization) -- Quantum GIS -- GRASS GIS -- gvSIG -- OpenJUMP -- Google Earth -- NASA WorldWind -- ArcGIS -- Leaflet and OpenLayers -- Understanding metadata management -- Python's pycsw library -- GeoNode -- GeoNetwork -- A quick look at artificial intelligence -- Summary -- Questions -- Further reading -- Part 2: Geospatial Analysis Concepts -- Chapter 4: Geospatial Python Toolbox -- Technical requirements -- Using QGIS -- Installing third-party Python modules -- Anaconda -- Jupyter -- PyPI and pip -- The Python virtualenv module -- Python networking libraries for acquiring data -- The Python urllib module -- The Python requests module -- FTP -- Bundling and compressing files -- Python markup and tag-based parsers -- The minidom module -- The ElementTree module -- Building XML using ElementTree and minidom -- Well-Known Text (WKT) -- Python JSON libraries -- The json module -- The geojson module -- OGR -- PyShp -- Shapely -- Fiona -- GDAL -- NumPy -- PIL -- PNGCanvas -- GeoPandas -- PyFPDF -- PyMySQL -- Rasterio -- OSMnx -- Folium -- Summary -- Questions -- Further reading -- Chapter 5: Python and Geospatial Algorithms -- Technical requirements -- Measuring distance -- Using the Pythagorean theorem to measure distance -- Using the haversine formula -- Using the Vincenty formula -- Calculating line direction…”

Tabla de Contenidos: “…3.1.2 Instalación y configuración del módulo PHP en Windows -- 3.2 SISTEMAS GESTORES DE BASES DE DATOS -- 3.2.1 Instalación en Windows -- 3.2.2 Configuración básica de MySQL: PHPMyAdmin -- 3.2.3 Utilizando PHPMyAdmin -- 3.3 INSTALACIÓN DE APACHE, PHP Y MYSQL EN UBUNTU -- 3.4 APLICACIONES DE INSTALACIÓN INTEGRADA -- 3.4.1 Instalación de XAMPP en Windows -- 3.4.2 Instalación de XAMPP en Ubuntu -- RESUMEN DEL CAPÍTULO -- EJERCICIOS PROPUESTOS -- TEST DE CONOCIMIENTOS -- 4. …”

Tabla de Contenidos: “…Storage replication types -- Locally Redundant Storage -- Zone Redundant Storage -- Geo-redundant Storage -- Azure Blob Storage -- Access tiers -- Hot -- Cool -- Archive -- Azure Table Storage -- Creating a storage account -- Uploading data to Azure Table Storage -- Azure Queue Storage -- Azure File Storage -- Azure Disk Storage -- Standard Disk Storage -- Premium Disk Storage -- Unmanaged versus Managed Disks -- StorSimple -- StorSimple Virtual Array -- StorSimple 8000 Series -- Cosmos DB Storage -- Azure Search -- Summary -- Questions -- Further reading -- Chapter 8: Scalable Data Implementations -- Technical requirements -- Azure Data Catalog -- Azure Data Factory -- Azure SQL Data Warehouse -- Azure Data Lake -- Azure Data Lake Store -- Azure Data Lake Analytics -- Analyzing your data using Data Lake Analytics -- Azure HDInsight -- Azure Analysis Services -- Azure SQL Database -- SQL Server Stretch Database -- High availability -- Active geo-replication -- Failover groups -- Configuring active geo-replication and failover groups -- Backup and recovery -- Azure Database for MySQL -- Azure Database for PostgreSQL -- Summary -- Questions -- Further reading -- Chapter 9: Securing Your Resources -- Technical requirements -- Azure Active Directory -- Microsoft Graph -- Azure AD Connect -- Azure Active Directory password hash synchronization -- Azure Active Directory pass-through authentication -- Active Directory Federation Services -- Multi-Factor Authentication -- Enabling MFA in the Azure Portal -- Enabling MFA in Office 365 -- Azure Active Directory Business to Business -- Azure Active Directory Business to Consumer -- Leveraging Azure AD B2C in your application -- Summary -- Questions -- Further reading -- Chapter 10: Securing Your Data -- Technical requirements -- Azure Key Vault -- Creating an Azure Key Vault in the Azure Portal…”

Tabla de Contenidos: “…. -- There's more... -- Cracking MySql and PostgreSQL login using custom wordlist -- Getting ready -- How to do it... -- How it works... -- There's more... -- Cracking Cisco login using custom wordlist -- Getting ready -- How to do it... -- How it works... -- There's more... -- Exploiting vulnerable services (Unix) -- Getting ready -- How to do it…”

Tabla de Contenidos: “…Preface -- Part 1: Database Model: Business and Technical Design Considerations -- 1 -- Data, Databases, and Design -- Data -- Databases -- A teeny-tiny bit about the evolution of databases -- DBMS -- Database design -- Data modeling -- Database modeling -- Considerations for a good database design -- Business aspect -- Ingestion -- Technical aspect -- Choosing the right database -- Relational database -- NoSQL database -- Summary -- 2 -- Handling Data on the Cloud -- Types of cloud services -- Use case categories -- The benefits of cloud computing -- Data applications on cloud -- Storage -- Backup and disaster recovery -- Analytics and insights -- Application development -- User experience and personalization -- Managed, unmanaged, and database as a service -- Managed databases -- Unmanaged databases -- Database as a service -- Cloud database considerations -- A quick follow-up -- Summary -- Part 2: Structured Data -- 3 -- Database Modeling for Structured Data -- Structured data -- Rows and columns -- Transactional applications -- Analytical applications -- Using an RDBMS for structured data -- Atomicity -- Consistency -- Isolation -- Durability -- Considerations for your RDBMS -- Structured query language -- Sample SQL queries -- Summary -- 4 -- Setting Up a Fully Managed RDBMS -- Fully managed databases -- Fully managed RDBMS -- Cloud SQL -- Setting up and configuring a fully managed RDBMS -- Creating a Cloud SQL instance for MySQL -- Connecting to the instance -- Creating a database -- Creating a table -- Inserting values -- Querying values -- Creating an application with the Cloud database -- Configuring the Cloud Functions service account -- Creating a Cloud Function -- Operational aspects of cloud relational databases -- Migration -- Monitoring -- Query Insights -- Security -- Summary -- 5 -- Designing an Analytical Data Warehouse…”

Tabla de Contenidos: “…. -- Chapter 5: All about Databases and Storage -- Introduction -- The database/sql package with MySQL -- Getting ready -- How to do it... -- How it works... -- Executing a database transaction interface -- Getting ready -- How to do it... -- How it works... -- Connection pooling, rate limiting, and timeouts for SQL -- Getting ready -- How to do it... -- How it works... -- Working with Redis -- Getting ready -- How to do it... -- How it works... -- Using NoSQL with MongoDB and mgo -- Getting ready -- How to do it... -- How it works... -- Creating storage interfaces for data portability -- Getting ready -- How to do it... -- How it works... -- Chapter 6: Web Clients and APIs -- Introduction -- Initializing, storing, and passing http.Client structs -- Getting ready…”

Tabla de Contenidos: “…Adding OpenAPI configuration and general API documentation to the ProductCompositeService -- Adding API-specific documentation to the ProductCompositeService interface -- Building and starting the microservice landscape -- Trying out the OpenAPI documentation -- Summary -- Questions -- Chapter 6: Adding Persistence -- Technical requirements -- Chapter objectives -- Adding a persistence layer to the core microservices -- Adding dependencies -- Storing data with entity classes -- Defining repositories in Spring Data -- Writing automated tests that focus on persistence -- Using Testcontainers -- Writing persistence tests -- Using the persistence layer in the service layer -- Logging the database connection URL -- Adding new APIs -- Calling the persistence layer from the service layer -- Declaring a Java bean mapper -- Updating the service tests -- Extending the composite service API -- Adding new operations to the composite service API -- Adding methods to the integration layer -- Implementing the new composite API operations -- Updating the composite service tests -- Adding databases to the Docker Compose landscape -- The Docker Compose configuration -- Database connection configuration -- The MongoDB and MySQL CLI tools -- Manual tests of the new APIs and the persistence layer -- Updating the automated tests of the microservice landscape -- Summary -- Questions -- Chapter 7: Developing Reactive Microservices -- Technical requirements -- Choosing between non-blocking synchronous APIs and event-driven asynchronous services -- Developing non-blocking synchronous REST APIs -- An introduction to Project Reactor -- Non-blocking persistence using Spring Data for MongoDB -- Changes in the test code -- Non-blocking REST APIs in the core services -- Changes in the APIs -- Changes in the service implementations -- Changes in the test code…”