Tabla de Contenidos: “…Performing Under Pressure; TABLE OF CONTENTS; Acknowledgements; Introduction: We Are All Performers; Chapter 1: Pressure; Section 1: Winning Programs; Chapter 2: Power Thoughts; Chapter 3: High-Performance Imagery; Section 2: The Shift: Positive Focus, Positive Feelings; Chapter 4: Changing Channels; Chapter 5: Tension-Release; Section 3: Conscious Breathing; Chapter 6: Rhythm; Chapter 7: Inspiration; Chapter 8: Continuity; Chapter 9: Streaming; Chapter 10: Blowing Off Tension-Energizing; Section 4: Attitude, Individual Differences, and Lifestyle…”

Tabla de Contenidos: “…; Processing collections : enum and stream ; Strings and binaries ; Control flow ; Organizing a project ; Tooling -- Part II: Concurrent programming. …”

Tabla de Contenidos: “…Opening Erin Manning -- Well -- Wet -- Rhythm -- Pace -- Bathing -- Stream -- Rain -- Water Pace (Snake) -- Bubbles -- Weight -- Springs -- Waterfall -- Hot Water -- Dance of Calm Water -- Well -- Chlorinated Pool -- The Dance of Atmospheres and the Pace -- Pace of the Undercurrents -- Giving Water -- Watering Plants -- Rain and the Catching Sweet Sounds of Walking Rain Drops -- Calm Water of Assembling -- Tidal Waves -- Living Is about Managing Support -- The Thinking Seeing Cutting Currents -- Open People's Meek Thinking about Language -- The Light without Reading Words -- The Storms of Diversity -- Floating -- The Ripples -- Geyser -- The Pace of Leurararara -- Underwater -- I Language the Ways of the Currents Not the Ways of People -- Pace the Animal's Way -- The Falling Pool of Time That Opens the Language of Autistic Life -- The Inside of the Dark Sea -- Digging for Water -- Pacing the Thanks…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- About the Author -- Contents -- Introduction -- Who This Book Is For -- What This Book Covers -- How This Book is Structured -- Conventions -- What You Need to Use This Book -- Any C++ Compiler -- Example: Microsoft Visual C++ 2022 -- Example: GCC -- C++23’s Support for Printing Ranges -- Reader Support for This Book -- Companion Download Files -- How to Contact the Publisher -- How to Contact the Author -- Part I Introduction to Professional C++ -- Chapter 1 A Crash Course in C++ and the Standard Library -- C++ Crash Course -- The Obligatory “Hello, World” Program -- Comments -- Importing Modules -- How the Compiler Processes Your Source Code -- Preprocessor Directives -- The main() Function -- Printing Text -- I/O Streams…”

Tabla de Contenidos: “…API data modeling -- OpenAPI -- Data modeling -- Data input -- Device configuration -- JSON-RPC -- Code generation -- Building configuration -- Device configuration -- RESTCONF -- Code generation -- Building configuration -- Device configuration -- State validation -- Operational state modeling -- Operational state processing -- gRPC -- Protobuf -- gRPC transport -- Defining gRPC services -- Configuring network devices with gRPC -- Streaming telemetry from a network device with gRPC -- Summary -- Further reading -- Chapter 9: OpenConfig -- Technical requirements -- Device provisioning -- Set RPC -- Using gNMI to configure network interfaces -- Streaming telemetry -- Subscribe RPC -- Streaming telemetry processing pipelines with gNMI -- Event-manager sample program -- Visualizing the data -- Network operations -- Traceroute RPC -- Path verifier application -- Summary -- Further reading -- Chapter 10: Network Monitoring -- Technical requirements -- Data plane telemetry processing -- Packet capturing -- Packet filtering -- Packet processing -- Generating traffic -- Debugging Go programs -- Debugging from an IDE -- Data plane telemetry aggregation -- Top talkers -- Testing Go programs -- Measuring control plane performance -- Measuring BGP Update propagation time -- Event-driven BGP state machine -- Encoding and decoding BGP messages -- Collecting and exposing metrics -- Storing and visualizing metrics -- Developing distributed applications -- Summary -- Further reading -- Chapter 11: Expert Insights -- David Barroso -- Stuart Clark -- Claudia de Luna -- Alexis de Talhouët -- John Doak -- Roman Dodin -- David Gee -- Daniel Hertzberg -- Marcus Hines -- Sneha Inguva -- Antonio Ojea -- Carl Montanari -- Brent Salisbury -- Maximilian Wilhelm -- Matt Oswalt -- Further reading -- Appendix : Building a Testing Environment -- What is a testing environment?…”

Tabla de Contenidos: “…Provisioned capacity mode -- On-demand capacity mode -- Feature common to both capacity modes - isolating frequently accessed items -- Using auto scaling for provisioned mode -- Cost optimizing with capacity reservations -- Savings calculations -- Reserved capacity metering -- Tools to help identify the capacity to reserve -- Choosing the right capacity mode -- Learning about table classes -- Table class considerations -- Choosing the right table class for your workload -- Summary -- References -- Chapter 10: Request Routers, Storage Nodes, and Other Core Components -- RR -- Role and responsibilities of RRs -- Storage nodes -- Roles and responsibilities of storage nodes -- Auto Admin and Metadata -- Auto Admin -- Metadata -- The journey of a DynamoDB request -- The journey of a read request (GetItem) -- The journey of a write request (PutItem) -- Summary -- References -- Part 4: Advanced Data Management and Caching -- Chapter 11: Backup, Restore, and More -- Understanding backup fundamentals -- On-demand backups -- Continuous backups (PITR) -- Learning about restores -- Export to S3 -- Use cases for Export to S3 -- Exporting table data into S3 -- Performance and cost implications -- Limitations -- Import from S3 -- Sample use case -- Importing from S3 in action -- Performance and cost implications -- Limitations -- Summary -- References -- Chapter 12: Streams and TTL -- DynamoDB Streams -- Feature characteristics -- How it works -- Consuming records from a DynamoDB stream -- Cost implications for utilizing DynamoDB streams -- KDS integration -- Feature characteristics -- AWS Lambda as a stream consumer -- When to use Lambda as a stream consumer -- Architectural patterns that are unlocked with streams -- KCL-based consumer applications -- How it works -- KCL versions and compatibility -- When to use KCL-based consumer applications -- DynamoDB (TTL)…”

Tabla de Contenidos: “…-- What Is an Alternate Data Stream?…”

Tabla de Contenidos: “…Filtering rows using the Filter rows step -- Looking up data -- Time for action - finding out which language people speak -- The Stream lookup step -- Data cleaning -- Time for action - fixing words before counting them -- Cleansing data with PDI -- Summary -- Chapter 5: Controlling the Flow of Data -- Splitting streams -- Time for action - Browsing new features of PDI by copying a dataset -- Copying rows -- Distributing rows -- Time for action - Assigning tasks by distributing -- Splitting the stream based on conditions -- Time for action - Assigning tasks by filtering priorities with the Filter rows step -- PDI steps for splitting the stream based on conditions -- Time for action - Assigning tasks by filtering priorities with the Switch/Case step -- Merging streams -- Time for action - Gathering progress and merging it all together -- PDI options for merging streams -- Time for action - Giving priority to Bouchard by using the Append Stream -- Treating invalid data by splitting and merging streams -- Time for action - Treating errors in the estimated time to avoid discarding rows -- Treating rows with invalid data -- Summary -- Chapter 6: Transforming Your Data by Coding -- Doing simple tasks with the JavaScript step -- Time for action - counting frequent words by coding in JavaScript -- Using the JavaScript language in PDI -- Inserting JavaScript code using the Modified JavaScript Value Step -- Adding fields -- Modifying fields -- Using transformation predefined constants -- Testing the script using the Test script button -- Reading and parsing unstructured files with JavaScript -- Time for action - changing a list of house descriptions with JavaScript -- Looping over the dataset rows -- Doing simple tasks with the Java Class step -- Time for action - counting frequent words by coding in Java -- Using the Java language in PDI…”

“…With a syntax borrowing heavily from Ruby, a runtime that is on the Erlang BEAM, a macro system like that in Lisp, and a streaming library like you might find in Haskell, Elixir takes the best features from many environments. …”

“…Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. …”

“…You will understand the different modules of Spark like Spark SQL, Spark Streaming and GraphX, along with when and how to use them. …”

“…While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. …”

“…This video tutorial also covers Spark MLLib, Spark GraphX, and Spark streaming. Finally, you will learn about deployment and infrastructure. …”

“…This ebook examines: The anatomy of fast data applications: the application model, streaming data sources, processing engines, and data sinks Functional composition of the SMACK stack and extensions The event backbone that connects all the major components of a fast data platform together Compute engines for transforming data into valuable insights Storage systems that form the transition between the fast data domain and client applications Patterns you can use in the data serving layer, including data-driven microservices Container orchestrators in the substrate layer that provide resources to services, frameworks, and applications…”

“…Then you'll get introduced to the fun stuff: downloading and shopping for e-books, using the built-in web browser, streaming videos from Netflix, Hulu, and other sources, and creating cool slideshows of photos from your digital camera. …”

“…Cluster schedulers —managing horizontal clusters was difficult before schedulers such as Apache Mesos appeared. Streaming data —data continuously generated by different sources requires responses in "real time"—generally milliseconds…”

“…Learn how to: • Get started quickly with Surface 2 and Windows RT 8.1 • Connect to Wi-Fi, share printers, and access files from your network or your SkyDrive cloud storage account • Get on the Web fast and enjoy it more with Internet Explorer 11 and the Bing search engine • Secure your Surface and control what your kids can do with it • Do all your Facebook and Twitter social networking through the People app • Find and play the music you love with Xbox Music, Radio, and Xbox Music Pass • Watch Netflix, YouTube, Hulu Plus, and other streaming video • Instantly retrieve up-to-the-minute news from top media and journalists • Create, edit, format, proof, and share documents with Word 2013 • Crunch numbers with Excel 2013 • Present on the go with PowerPoint 2013 • Use OneNote 2013 to organize notes, sync them across devices, and access them from anywhere • Manage email and track your calendar with Outlook 2013 • Go anywhere with Surface 2’s easy maps and directions • Capture, manage, touch up, and geotag your photos • Make sure your files are always safely backed up • Find the best new Windows Store Apps • Keep your Surface 2 working reliably, with maximum battery life • Personalize your Surface 2 using the newest customization settings • Get more help whenever you need it…”

“…It reflects the growing heterogeneity of video traffic, including passive streaming video, interactive video, and immersive videoconferences. …”

“…With the help of our Local chairs (Cristian Consonni and Mihnea Tufis,) and Streaming & Broadcasting chairs (Walter Anelli, Lesly Miculicich, Lorena Recalde, and Mete Sertkan) this new format was more manageable and ran smoothly. …”

“…The PODS Symposia study data management challenges in a variety of application contexts, including more recently parallel computation, streaming and realtime data, and graph data processing algorithms. …”