Tabla de Contenidos: “…. -- See also -- Chapter 6: Parallel and Reactive Streams -- Introduction -- Creating streams from different sources -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Reducing the elements of a stream -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also…”

Tabla de Contenidos: “…Using Interface References -- Try This 8-1: Creating a Queue Interface -- Variables in Interfaces -- Interfaces Can Be Extended -- Chapter 8 Self Test -- 9 Exception Handling -- The Exception Hierarchy -- Exception Handling Fundamentals -- Using try and catch -- A Simple Exception Example -- The Consequences of an Uncaught Exception -- Exceptions Enable You to Handle Errors Gracefully -- Using Multiple catch Statements -- Catching Subclass Exceptions -- Try Blocks Can Be Nested -- Throwing an Exception -- Rethrowing an Exception -- A Closer Look at Throwable -- Using finally -- Using throws -- New Exception Features Added by JDK 7 -- Java's Built-in Exceptions -- Creating Exception Subclasses -- Try This 9-1: Adding Exceptions to the Queue Class -- Chapter 9 Self Test -- 10 Using I/O -- Java's I/O Is Built upon Streams -- Byte Streams and Character Streams -- The Byte Stream Classes -- The Character Stream Classes -- The Predefined Streams -- Using the Byte Streams -- Reading Console Input -- Writing Console Output -- Reading and Writing Files Using Byte Streams -- Inputting from a File -- Writing to a File -- Automatically Closing a File -- Reading and Writing Binary Data -- Try This 10-1: A File Comparison Utility -- Random-Access Files -- Using Java's Character-Based Streams -- Console Input Using Character Streams -- Console Output Using Character Streams -- File I/O Using Character Streams -- Using a FileWriter -- Using a FileReader -- Using Java's Type Wrappers to Convert Numeric Strings -- Try This 10-2: Creating a Disk-Based Help System -- Chapter 10 Self Test -- 11 Multithreaded Programming -- Multithreading Fundamentals -- The Thread Class and Runnable Interface -- Creating a Thread -- Some Simple Improvements -- Try This 11-1: Extending Thread -- Creating Multiple Threads -- Determining When a Thread Ends -- Thread Priorities…”

Tabla de Contenidos: “…Sequential iteration - the patternParallel execution; Limited parallel execution; Generators; The basics; A simple example; Generators as iterators; Passing values back to a generator; Asynchronous control flow with generators; Generator-based control flow using co; Sequential execution; Parallel execution; Limited parallel execution; Producer-consumer pattern; Limiting the download tasks concurrency; Comparison; Summary; Chapter 3: Coding with Streams; Discovering the importance of streams; Buffering vs Streaming; Spatial efficiency; Gzipping using a buffered API; Gzipping using streams…”

Tabla de Contenidos: “…Chapter 4 Objective-C Language FeaturesStrong and Weak References; Autorelease Pools; Exceptions; Synchronization; In-Depth: Messaging; Message Orientation; Sending Messages; Proxies and Message Forwarding; Blocks; Lexical Closures; Grand Central Dispatch; Summary; Chapter 5 Using the Filesystem; Files, Folders, and URLs; URLs; Creating and Using URLs; Resources; Access Permissions; File Reference URLs; Security Scope; Filesystem Metadata; Managing Folders and Locations; Accessing File Contents; Random-Access Files; Streaming File Contents; Rolling Your Own Streams…”

Tabla de Contenidos: “…MDM TechnologyAction Items; 8. Data Stream Processing: When Storing the Data Happens Later; Uses of Data Stream Processing; Data Stream Processing Brings Power; Stream SQL Extensions; In Conclusion; Action Plan; References; 9. …”

Tabla de Contenidos: “…Living and dying in the African-Portuguese diaspora -- Demography, distribution, and diasporic streams -- Kinship, family, and household formation -- Disease, mortality, and master power -- Part II. …”
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Tabla de Contenidos: “…Chapter 1: Fundamentals Chapter 2: Grains and Silos Chapter 3: Hello World Chapter 4: Debugging an Orleans Application Chapter 5: Orleans Dashboard Chapter 6: Adding Persistence Chapter 7: Adding ASP.NET Core Chapter 8: Unit Testing Chapter 9: Streams Chapter 10: Timer and Reminders Chapter 11: Transactions Chapter 12: Event Sourced Grains Chapter 13: Updating Grains Chapter 14: Optimizations Chapter 15: Advanced Features Chapter 16: Interviews…”

Tabla de Contenidos: “…Part 1: Getting Started -- Chapter 1: Welcome to Microsoft 365 -- Part 2: The Applications -- Chapter 2: SharePoint Online -- Chapter 3: OneDrive -- Chapter 4: Microsoft 365 Groups -- Chapter 5: Teams -- Chapter 6: Yammer -- Chapter 7: Office -- Chapter 8: Planner -- Chapter 9: Stream -- Chapter 10: Forms -- Chapter 11: Power Automate -- Chapter 12: Power BI -- Chapter 13: PowerApps -- Chapter 14: Making Sense of It All…”

Tabla de Contenidos: “…Front Cover; Contents; Preface; Acknowledgments; The Author; Chapter 1: The Architect; Chapter 2: The Economics of Lean; Chapter 3: how Me the Value Stream Flow; Chapter 4: how Me the Office Flow; Chapter 5: Measure Lean Performance, Not Profits; Chapter 6: It's about Spending, Not Costs; Chapter 7: The Value of Measuring Capacity; Chapter 8: Decisions, Decisions, Decisions; Chapter 9: Standard Costing Debunked; Chapter 10: Tame the ERP Beast; Chapter 11: By the People, for the People; Back Cover…”

Tabla de Contenidos: “…Introduction -- Java to Kotlin projects -- Java to Kotlin classes -- Optional to nullable -- Beans to values -- Java to Kotlin collections -- Actions to calculations -- Static methods to top-level functions -- Multi- to single-expression functions -- Functions to extension functions -- Methods to properties -- Functions to operators -- Streams to Iterables to sequences -- Accumulating objects to transformations -- Encapsulated collections to type aliases -- Interfaces to functions -- Mocks to maps -- Open to sealed classes -- Throwing to returning -- Performing I/O to passing data -- Exceptions to values -- Classes to functions -- Continuing the journey…”

Tabla de Contenidos: “…Frontmatter -- Table of Contents -- Acknowledgments -- 1 River Cities in Asia -- 2 Water World to Inundation -- 3 From the City to the Sea -- 4 The Political Economy of Banjarmasin’s River Landscape during the Sultanate Period (1526–1860) -- 5 Through the Passage and across the Worlds -- 6 Challenges to an Iconic River-City -- 7 River-Edge Relationships -- 8 Recovering the Stream -- 9 Water’s Edge Urbanisms along the Buckingham Canal in Chennai -- 10 The Social Downside of Flood Control -- 11 Hybrid Riverscapes -- Index…”

Tabla de Contenidos: “…Table of Contents Getting Started with Flutter Creating Your First Flutter App Dart: A Language You Already Know Introduction to Widget Mastering Layout and Taming the Widget Tree Adding Interactivity and Navigation to Your App Basic State Management The Future is Now: Introduction to Asynchronous Programming Data Persistence and Communicating with the Internet Advanced State Management with Streams Using Flutter Packages Adding Animations to Your App Using Firebase Firebase Machine Learning Flutter Web and Desktop Distributing Your Mobile App…”

Tabla de Contenidos: “…Market opportunity and segmentation : the diverse role of studios and networks -- Intellectual property assets enabling: distribution : the business of creating, marketing, and protecting an idea -- Financing production : studios and networks as venture capitalists -- Theatrical distribution -- The home video business -- Television distribution -- Internet distribution, downloads, and on-demand streaming a new paradigm -- Ancillary revenues : merchandising video games, hotels, transactional video-on-demand, airlines, and other markets -- Marketing -- Making money & net profits, Hollywood accounting, and the relative simplicity of online revenue sharing…”

Tabla de Contenidos: “…Industrial Papers (Invited) -- Data Mining as an Automated Service -- Trends and Challenges in the Industrial Applications of KDD -- Stream Mining I -- Finding Event-Oriented Patterns in Long Temporal Sequences -- Mining Frequent Episodes for Relating Financial Events and Stock Trends -- Graph Mining -- An Efficient Algorithm of Frequent Connected Subgraph Extraction -- Classifier Construction by Graph-Based Induction for Graph-Structured Data -- Clustering I -- Comparison of the Performance of Center-Based Clustering Algorithms -- Automatic Extraction of Clusters from Hierarchical Clustering Representations -- Text Mining -- Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information -- Extracting Shared Topics of Multiple Documents -- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition -- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data -- Bio Mining -- Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules -- Predicting Protein Structural Class from Closed Protein Sequences -- Learning Rules to Extract Protein Interactions from Biomedical Text -- Predicting Protein Interactions in Human by Homologous Interactions in Yeast -- Web Mining -- Mining the Customer’s Up-To-Moment Preferences for E-commerce Recommendation -- A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules -- A Markovian Approach for Web User Profiling and Clustering -- Extracting User Interests from Bookmarks on the Web -- Stream Mining II -- Mining Frequent Instances on Workflows -- Real Time Video Data Mining for Surveillance Video Streams -- Distinguishing Causal and Acausal Temporal Relations -- Bayesian Networks -- Online Bayes Point Machines -- Exploiting Hierarchical Domain Values for Bayesian Learning -- A New Restricted Bayesian Network Classifier -- Clustering II -- AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets -- Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus -- An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data -- Association Rules I -- Enhancing SWF for Incremental Association Mining by Itemset Maintenance -- Reducing Rule Covers with Deterministic Error Bounds -- Evolutionary Approach for Mining Association Rules on Dynamic Databases -- Semi-structured Data Mining -- Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining -- An Integrated System of Mining HTML Texts and Filtering Structured Documents -- A New Sequential Mining Approach to XML Document Similarity Computation -- Classification I -- Optimization of Fuzzy Rules for Classification Using Genetic Algorithm -- Fast Pattern Selection for Support Vector Classifiers -- Averaged Boosting: A Noise-Robust Ensemble Method -- Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule -- Data Analysis -- HOT: Hypergraph-Based Outlier Test for Categorical Data -- A Method for Aggregating Partitions, Applications in K.D.D. -- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding -- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data -- Association Rules II -- Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube -- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining -- Mining Open Source Software (OSS) Data Using Association Rules Network -- Parallel FP-Growth on PC Cluster -- Feature Selection -- Active Feature Selection Using Classes -- Electricity Based External Similarity of Categorical Attributes -- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers -- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach -- Stream Mining III -- Considering Correlation between Variables to Improve Spatiotemporal Forecasting -- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach -- When to Update the Sequential Patterns of Stream Data? …”

Tabla de Contenidos: “…Using AWS CloudShell to access the CLI -- Creating new Amazon S3 buckets -- Summary -- Chapter 3: The AWS Data Engineer's Toolkit -- Technical requirements -- An overview of AWS services for ingesting data -- Amazon Database Migration Service (DMS) -- Amazon Kinesis for streaming data ingestion -- Amazon Kinesis Agent -- Amazon Kinesis Firehose -- Amazon Kinesis Data Streams -- Amazon Kinesis Data Analytics -- Amazon Kinesis Video Streams -- Amazon MSK for streaming data ingestion -- Amazon AppFlow for ingesting data from SaaS services -- AWS Transfer Family for ingestion using FTP/SFTP protocols -- AWS DataSync for ingesting from on premises and multicloud storage services -- The AWS Snow family of devices for large data transfers -- AWS Glue for data ingestion -- An overview of AWS services for transforming data -- AWS Lambda for light transformations -- AWS Glue for serverless data processing -- Serverless ETL processing -- AWS Glue DataBrew -- AWS Glue Data Catalog -- AWS Glue crawlers -- Amazon EMR for Hadoop ecosystem processing -- An overview of AWS services for orchestrating big data pipelines -- AWS Glue workflows for orchestrating Glue components -- AWS Step Functions for complex workflows -- Amazon Managed Workflows for Apache Airflow (MWAA) -- An overview of AWS services for consuming data -- Amazon Athena for SQL queries in the data lake -- Amazon Redshift and Redshift Spectrum for data warehousing and data lakehouse architectures -- Overview of Amazon QuickSight for visualizing data -- Hands-on - triggering an AWS Lambda function when a new file arrives in an S3 bucket -- Creating a Lambda layer containing the AWS SDK for pandas library -- Creating an IAM policy and role for your Lambda function -- Creating a Lambda function -- Configuring our Lambda function to be triggered by an S3 upload -- Summary…”

“…Download lesson files here: https://s3.amazonaws.com/storefronts/streaming-video/9780133462043/lesson_files.zip…”

“…Imagine controlling your TV with your smartphone, dynamically streaming content that you have on various devices across your home, as and when you want. …”

“…Monetizing Entertainment: An Insider's Handbook for Careers in the Entertainment & Music Industry offers a thorough, guided exploration of the current state of the industry, with an emphasis on trends in copyright, digital streaming, and practical advice for developing a career as an artist, technician, or industry executive. …”

“…The subjects have been selected so that they provide an engaging and high impact educational experience that will enable them to make progress towards their degree or expand their academic and/or professional life and experience. •Spatio-temporal analytics, urban analytics •Visual analytics •Social network analytics, Data science ethics & privacy-preserving analytics •Streaming analytics •Text analytics, health analytics •User analytics for recommender systems Participants should bring their own laptop, which they should use during the exercises and other hands-on work they will do during the School…”

“…"In Designing the Moment: From First Impression to Conversion (Streaming Online Video), Robert Hoekman, Jr., author of Designing the Obvious and Designing the Moment, shows you the design elements that will help your users do exactly that. …”