“…What you will learn Learn key Salesforce APIs (SOAP, REST, BULK) for data integration Discover Postman and SOAP UI for implementation and troubleshooting Explore diverse methods, including streaming and platform events Configure Visual Studio Code/Eclipse IDE for efficient development Understand Salesforce BULK API to streamline/manage large datasets Master REST API callouts from Lightning Web and Aura Components Audience This course is tailored for Salesforce developers, certification aspirants, and professionals seeking to advance their careers in Salesforce integration. …”

“…Customize Applications for Maximum Availability in Sun Cluster Environments The Sun Cluster 3 environment offers developers and administrators a powerful API for creating custom "data services" that maximize the availability and enhance the horizontal scalability of many enterprise applications. …”

“…You'll also learn how to extend the API to write custom components and best practices for using the feature-rich log4j API. …”

“…Java 9 comes with a host of fantastic features, including significant performance improvements and new APIs. This book will take you through all the new APIs, showing you how to build parallel and multi-threaded applications. …”

“…Youll also learn how to use the API and optimize requests for the best possible results. …”

“…It next explores the SAX, DOM, StAX, XPath, and XSLT APIs. It even briefly touches on the Validation API. …”

Tabla de Contenidos: “….) -- 3.8.1 AXIS 2 -- 3.8.2 CXF -- 3.8.3 JAX-WS -- 3.9 SEGURIDAD EN API REST CON JAVA JAX-RS -- 3.9.1 AUTENTICACIÓN EN JAX-RS -- 3.9.2 AUTORIZACIÓN EN JAX-RS…”

Tabla de Contenidos: “…CPU -- 7.1.2 Downloading the clothing dataset -- 7.1.3 TensorFlow and Keras -- 7.1.4 images -- 7.2 Convolutional neural networks -- 7.2.1 Using a pretrained model -- 7.2.2 Getting predictions -- 7.3 Internals of the model -- 7.3.1 Convolutional layers -- 7.3.2 Dense layers -- 7.4 Training the model -- 7.4.1 Transfer learning -- 7.4.2 Loading the data -- 7.4.3 Creating the model -- 7.4.4 Training the model -- 7.4.5 Adjusting the learning rate -- 7.4.6 Saving the model and checkpointing -- 7.4.7 Adding more layers -- 7.4.8 Regularization and dropout -- 7.4.9 Data augmentation -- 7.4.10 Training a larger model -- 7.5 Using the model -- 7.5.1 Loading the model -- 7.5.2 Evaluating the model -- 7.5.3 Getting the predictions -- 7.6 Next steps -- 7.6.1 Exercises -- 7.6.2 Other projects -- Summary -- Answers to exercises -- 8 Serverless deep learning -- 8.1 Serverless: AWS Lambda -- 8.1.1 TensorFlow Lite -- 8.1.2 Converting the model to TF Lite format -- 8.1.3 Preparing the images -- 8.1.4 Using the TensorFlow Lite model -- 8.1.5 Code for the lambda function -- 8.1.6 Preparing the Docker image -- 8.1.7 Pushing the image to AWS ECR -- 8.1.8 Creating the lambda function -- 8.1.9 Creating the API Gateway -- 8.2 Next steps -- 8.2.1 Exercises -- 8.2.2 Other projects -- Summary -- 9 Serving models with Kubernetes and Kubeflow -- 9.1 Kubernetes and Kubeflow -- 9.2 Serving models with TensorFlow Serving -- 9.2.1 Overview of the serving architecture -- 9.2.2 The saved_model format -- 9.2.3 Running TensorFlow Serving locally -- 9.2.4 Invoking the TF Serving model from Jupyter…”

Tabla de Contenidos: “…Chapter 5 - Communication and Data Management in Industry 4.0 -- 5.1 Introduction -- 5.2 Industry 4.0 Communication and Data Requirements -- 5.3 Industrial Wireless Network Architectures -- 5.4 Data Management in Industrial Environments -- 5.5 Hierarchical Communication and Data Management Architecture for Industry 4.0 -- 5.5.1 Heterogeneous Industrial Wireless Network -- 5.5.2 Hierarchical Management -- 5.5.2.1 Hierarchical communications -- 5.5.2.2 Data management -- 5.5.3 Multi-tier Organization -- 5.5.4 Architectural Enablers: Virtualization and Softwarization -- 5.5.4.1 RAN slicing -- 5.5.4.2 Cloudification of the RAN -- 5.6 Hybrid Communication Management -- 5.7 Decentralized Data Distribution -- 5.7.1 Average Data Access Latency Guarantees -- 5.7.2 Maximum Data Access Latency Guarantees -- 5.7.3 Dynamic Path Reconfigurations -- 5.8 Communications and Data Management within the AUTOWARE Framework -- 5.9 Conclusions -- References -- Chapter 6 - A Framework for Flexible and Programmable Data Analytics in Industrial Environments -- 6.1 Introduction -- 6.2 Requirements for Industrial-scale Data Analytics -- 6.3 Distributed Data Analytics Architecture -- 6.3.1 Data Routing and Preprocessing -- 6.3.2 Edge Analytics Engine -- 6.3.3 Distributed Ledger -- 6.3.4 Distributed Analytics Engine (DA-Engine) -- 6.3.5 Open API for Analytics -- 6.4 Edge Analytics Engine -- 6.4.1 EA-Engine Processors and Programmability -- 6.4.2 EA-Engine Operation -- 6.4.3 Configuring Analytics Workflows -- 6.4.4 Extending the Processing Capabilities of the EA-Engine -- 6.4.5 EA-Engine Configuration and Runtime Example -- 6.5 Distributed Ledger and Data Analytics Engine -- 6.5.1 Global Factory-wide Analytics and the DA-Engine -- 6.5.2 Distributed Ledger Services in the FAR-EDGE Platform -- 6.5.3 Distributed Ledger Services and DA-Engine…”

Tabla de Contenidos: “…Advanced Software Testing Vol. 3 -- Table of Contents -- Jamie Mitchell's Acknowledgements -- Rex Black's Acknowledgements -- Introduction -- 1 The Technical Test Analyst's Tasks in Risk-Based Testing -- 1.1 Introduction -- 1.2 Risk Identification -- 1.3 Risk Assessment -- 1.4 Risk Mitigation or Risk Control -- 1.5 An Example of Risk Identification and Assessment Results -- 1.6 Risk-Aware Testing Standard -- 1.7 Sample Exam Questions -- 2 Structure-Based Testing -- 2.1 Introduction -- 2.1.1 Control Flow Testing Theory -- 2.1.2 Building Control Flow Graphs -- 2.1.3 Statement Coverage -- 2.1.4 Decision Coverage -- 2.1.5 Loop Coverage -- 2.1.6 Hexadecimal Converter Exercise -- 2.1.7 Hexadecimal Converter Exercise Debrief -- 2.2 Condition Coverage -- 2.3 Decision Condition Coverage -- 2.4 Modified Condition/Decision Coverage (MC/DC) -- 2.4.1 Complicating Issues: Short-Circuiting -- 2.4.2 Complicating Issues: Coupling -- 2.5 Multiple Condition Coverage -- 2.5.1 Control Flow Exercise -- 2.5.2 Control Flow Exercise Debrief -- 2.6 Path Testing -- 2.6.1 Path Testing via Flow Graphs -- 2.6.2 Basis Path Testing -- 2.6.3 Cyclomatic Complexity Exercise -- 2.6.4 Cyclomatic Complexity Exercise Debrief -- 2.7 API Testing -- 2.8 Selecting a Structure-Based Technique -- 2.8.1 Structure-Based Testing Exercise Debrief -- 2.9 A Final Word on Structural Testing -- 2.10 Sample Exam Questions -- 3 Analytical Techniques -- 3.1 Introduction -- 3.2 Static Analysis -- 3.2.1 Control Flow Analysis -- 3.2.2 Data Flow Analysis -- 3.2.2.1 Define-Use Pairs -- 3.2.2.2 Define-Use Pair Example -- 3.2.2.3 Data Flow Exercise -- 3.2.2.4 Data Flow Exercise Debrief -- 3.2.2.5 A Data Flow Strategy -- 3.2.3 Static Analysis to Improve Maintainability -- 3.2.3.1 Code Parsing Tools -- 3.2.3.2 Standards and Guidelines -- 3.2.4 Call Graphs -- 3.2.4.1 Call-Graph-Based Integration Testing…”

Tabla de Contenidos: “…9.2.2 Converting PowerShell arrays to tables -- 9.3 Getting web data -- 9.3.1 API keys -- 9.4 Using external applications -- 9.4.1 Calling an external executable -- 9.4.2 Monitoring execution -- 9.4.3 Getting the output -- 9.4.4 Creating Start-Process wrapper function -- 9.5 Putting it all together -- Summary -- 10 Automation coding best practices -- 10.1 Defining the full automation -- 10.1.1 Structuring your automation -- 10.2 Converting a manual task to an automated one -- 10.3 Updating structured data -- 10.4 Using external tools -- 10.4.1 Finding installed applications -- 10.4.2 Call operators -- 10.5 Defining parameters -- 10.6 Making resumable automations -- 10.6.1 Determining code logic and functions -- 10.7 Waiting for automations -- 10.8 Think of the next person -- 10.8.1 Do not overcomplicate it -- 10.8.2 Comment, comment, comment -- 10.8.3 Include help and examples on all scripts and functions -- 10.8.4 Have a backup plan -- 10.9 Do not forget about the presentation -- Summary -- Part 3. -- 11 End-user scripts and forms -- 11.1 Script frontends -- 11.1.1 SharePoint trial tenant -- 11.2 Creating a request form -- 11.2.1 Gathering data -- 11.2.2 Creating a SharePoint form -- 11.3 Processing requests -- 11.3.1 Permissions -- 11.3.2 Monitoring for new requests -- 11.3.3 Processing the request -- 11.4 Running PowerShell script on end-user devices -- 11.4.1 Custom Git install -- 11.4.2 Running as system versus the user -- 11.4.3 Using Active Setup with PowerShell -- Summary -- 12 Sharing scripts among a team -- 12.1 Sharing a script -- 12.1.1 Creating a gist -- 12.1.2 Editing a gist -- 12.1.3 Sharing a gist -- 12.1.4 Executing a gist -- 12.2 Creating a shared module -- 12.2.1 Uploading the module to a GitHub repository -- 12.2.2 Giving access to the shared module -- 12.2.3 Installing the shared module -- 12.3 Updating a shared module…”

Tabla de Contenidos: “…Basics -- 8.6.1 Application of Neural Networks -- 8.6.2 Architecture of Neural Networks -- 8.6.3 Working of Artificial Neural Networks -- 8.7 Convolution Neural Networks -- 8.7.1 Working of Convolutional Neural Networks -- 8.7.2 Overview of CNN -- 8.7.3 Working of CNN -- 8.8 Image Classification -- 8.8.1 Concept of Image Classification -- 8.8.2 Type of Learning -- 8.8.3 Features of Image Classification -- 8.8.4 Examples of Image Classification -- 8.9 Text Classification -- 8.9.1 Text Classification Examples -- 8.9.2 Phases of Text Classification -- 8.9.3 Text Classification API -- 8.10 Recurrent Neural Network -- 8.10.1 Type of Recurrent Neural Network -- 8.11 Building Recurrent Neural Network -- 8.12 Long Short Term Memory Networks (LSTMs) -- References -- Chapter 9 Internet of Things -- 9.1 Introduction -- 9.2 M2M and Web of Things -- 9.3 Wireless Networks -- 9.4 Service Oriented Architecture -- 9.5 Complexity of Networks -- 9.6 Wireless Sensor Networks -- 9.7 Cloud Computing -- 9.8 Cloud Simulators…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Preface -- Acknowledgments -- Chapter 1 Design and Development of an Ensemble Model for Stock Market Prediction Using LSTM, ARIMA, and Sentiment Analysis -- 1.1 Introduction -- 1.2 Significance of the Study -- 1.3 Problem Statement -- 1.4 Research Objectives -- 1.5 Expected Outcome -- 1.6 Chapter Summary -- 1.7 Theoretical Foundation -- 1.7.1 Sentiment Analysis -- 1.7.1.1 Subjectivity -- 1.7.1.2 Polarity -- 1.7.2 Stock Market -- 1.7.3 Sentiment Analysis of Twitter in Stock Market Prediction -- 1.7.4 Machine Learning Algorithms in Stock Market Prediction -- 1.8 Research Methodology -- 1.8.1 Stock Sentiment Data Fetching Through API -- 1.8.1.1 Stock Market Data Fetching -- 1.8.1.2 Sentiment Data Preprocessing -- 1.8.1.3 Stock Data Preprocessing -- 1.8.2 Project Plan -- 1.8.3 Use Case Diagram -- 1.8.4 Data Collection -- 1.8.5 Dataset Description -- 1.8.5.1 Tweets Precautions -- 1.8.5.2 Consolidation of Sentiment and Stock Price Data -- 1.8.6 Algorithm Description -- 1.8.6.1 ARIMA -- 1.8.6.2 LSTM -- 1.8.6.3 TextBlob -- 1.9 Analysis and Results -- 1.10 Conclusion -- 1.10.1 Limitation -- 1.10.2 Future Work -- References -- Chapter 2 Unraveling Quantum Complexity: A Fuzzy AHP Approach to Understanding Software Industry Challenges -- 2.1 Introduction -- 2.2 Introduction to Quantum Computing -- 2.3 Literature Review -- 2.4 Research Methodology -- 2.5 Research Questions -- 2.6 Designing Research Instrument/Questionnaire -- 2.7 Results and Analysis -- 2.8 Result of Fuzzy AHP -- 2.9 Findings, Conclusion, and Implication -- References -- Chapter 3 Analyzing Open Interest: A Vibrant Approach to Predict Stock Market Operator's Movement -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Concept of OI -- 3.4 OI in Future Contracts -- 3.4.1 Interpreting OI &amp -- Price Movement…”

Tabla de Contenidos: “…Search -- 10.1 Overview -- 10.1.1 Content Manager search possibilities -- 10.1.2 NSE integration within Content Manager -- 10.1.3 Federated search -- 10.1.4 LWWCM search module -- 10.2 Integrating a search -- 10.2.1 Leveraging the CM/II for Content Java APIs -- 10.2.2 IFrame -- 10.2.3 LWWCM internal search -- 10.3 Other search approaches -- 10.3.1 Portal search engine (PSE) -- 10.3.2 Domino Extended Search (DES) -- Chapter 11. …”

Tabla de Contenidos: “…Using IM Visualization functions -- 11.1 IM Visualization functions -- 11.1.1 Common and different tasks -- 11.1.2 Applets or Java API -- 11.2 Configuration settings -- 11.2.1 Loading a model from a local file system…”

Tabla de Contenidos: “…Adapter design and environment -- 13.1 Understanding our scenario environment -- 13.1.1 The requirements -- 13.2 Examining the application environment -- 13.3 Examining the API -- 13.4 Designing application-specific business objects -- 13.5 Conclusion -- Chapter 14. …”

Tabla de Contenidos: “…-- 1.1.4 History of IoT -- 1.1.5 About Things in IoT -- 1.1.6 About the Internet in IoT -- 1.2 Characteristics of IoT -- 1.3 IoT Architectures -- 1.3.1 Functional Building Blocks of IoT -- 1.3.2 Physical Design of IoT -- 1.3.3 Logical Design of IoT -- 1.4 Communication Models and APIs -- 1.4.1 Request-Response Communication Model -- 1.4.2 Publish-Subscribe Communication Model -- 1.4.3 Push-Pull Communication Model -- 1.4.4 Exclusive Pair Communication Model -- 1.5 Enabling Technologies in IoT -- 1.5.1 The Identifiers in IoT -- 1.5.2 IoT Frameworks and Its Design Ethics -- 1.6 Toward the Internet of Things Applications -- 1.6.1 Strategic Research and Innovation Directions -- 1.6.2 IoT Smart X Applications -- 1.7 Challenges and Open Research Issues in IoT -- 1.7.1 Security and Privacy Issues in IoT -- 1.7.2 Tackling Jamming Attacks in IoT -- 1.7.3 Encryption -- 1.7.4 Privacy Challenges and Their Solutions in IoT -- 1.7.5 Design and Development Challenges -- 1.7.6 Securing IoT Using Blockchain Technology -- References -- Chapter 2 Things in the Internet of Things -- 2.1 Sensors and Actuators in IoT -- 2.1.1 Case Studies: RFID Principles, Components, and Applications -- 2.2 Pillars of Embedded IoT and Physical Devices -- 2.2.1 Machine-to-Machine -- 2.2.2 IoT and M2M -- 2.2.3 Software-Defined Networking -- 2.2.4 Wireless Sensor Networks -- 2.2.5 SCADA -- 2.3 Wireless Sensor Networks -- 2.3.1 History and Context -- 2.3.2 Connecting Nodes -- 2.3.3 Networking Nodes -- 2.3.4 WSN and IoT -- 2.4 Two Pillars of the Web: Web of Things and Cloud of Things…”