Tabla de Contenidos: “…-- Proposition Three - SINGING-DANCING GENDER RELATIONS AND GROUP HEALTH -- Socio-Somatic Polyphonies -- Ritualised Gendera]gender Roles and Egalitarian Politics -- Healing as Whole-Body Group Process -- Diversities: Third Gendersa]third gender, Transgender and an Ancient Single Gendera]gender -- Generative Capacities and Healing Social Cohesion:Sounding and Moving Together -- Proposition Four - OPENING WORLDS INTO ECOSOMATIC ALIVENESSa]ecosomatic aliveness -- Dja mbo ka - The Opening of the World -- Mythologies and Ecologies: Appreciating Cyclical Complexities -- Legal Limitsa]legal limits -- Political Togetherness as Sensible Togetherness and The Alien Inside -- Dominant Authority and Situational Leadership -- Singing-Dancing out Ecosomatic Alivenessa]ecosomatic alivenessa]aliveness -- Towards Alivenessa]aliveness - WHAT IS YOUR RESPONSE? -- Four Sparks of Enchantment -- Annex -- Annex I -- Annex II -- List of Figures -- List of Tables -- References -- Index…”

Tabla de Contenidos: “…Smishing Attack Defense -- MitM Defense -- Technological Work-Life Balance -- Physical Access Attacks -- Specialized K9 Detection -- Notes -- Chapter 13 The Future of Transhuman Technology -- Brain-Computer Interfaces -- Invasive BCIs -- Early Issues in the Neuralink BCI -- Neuro Rights -- Partially Invasive BCIs -- Noninvasive BCIs -- Smart Devices -- Internal Power -- Sound Power -- Glucose-Powered Metabolic Fuel Cell -- Kinetic Power -- Thermal Power -- Batteries -- AI: A Necessary Evil -- Military Defense/Espionage -- Haptics -- Notes -- Chapter 14 Transhuman Rights Are Human Rights -- Transhuman Discrimination -- The Hypocritic Oath -- Transhuman, but Still Human -- Notes -- Chapter 15 My Future as a Transhuman -- Final Thoughts -- Notes -- Appendix A: My Hardware -- NExT -- VivoKey Spark 2 (Cryptobionic) -- flexNExT -- flexM1 "Magic" 1k -- flexEM T5577 -- Titan-Sensing Biomagnet -- Walletmor -- flexDF2 DESFire -- VivoKey Apex -- flexClass (HID iClass) -- Appendix B: FAQs -- Appendix C: Resources -- My Body Mechanics -- Organizations, Clubs, and Information Hubs -- Implant Distributors -- GitHub Repos -- Open-Source Tools -- Acknowledgments -- About the Author -- Index -- EULA…”

Tabla de Contenidos: “…Chapter 3: Big Data Processing with MapReduce -- The MapReduce framework -- Dataset -- Record reader -- Map -- Combiner -- Partitioner -- Shuffle and sort -- Reduce -- Output format -- MapReduce job types -- Single mapper job -- Single mapper reducer job -- Multiple mappers reducer job -- SingleMapperCombinerReducer job -- Scenario -- MapReduce patterns -- Aggregation patterns -- Average temperature by city -- Record count -- Min/max/count -- Average/median/standard deviation -- Filtering patterns -- Join patterns -- Inner join -- Left anti join -- Left outer join -- Right outer join -- Full outer join -- Left semi join -- Cross join -- Summary -- Chapter 4: Scientific Computing and Big Data Analysis with Python and Hadoop -- Installation -- Installing standard Python -- Installing Anaconda -- Using Conda -- Data analysis -- Summary -- Chapter 5: Statistical Big Data Computing with R and Hadoop -- Introduction -- Install R on workstations and connect to the data in Hadoop -- Install R on a shared server and connect to Hadoop -- Utilize Revolution R Open -- Execute R inside of MapReduce using RMR2 -- Summary and outlook for pure open source options -- Methods of integrating R and Hadoop -- RHADOOP - install R on workstations and connect to data in Hadoop -- RHIPE - execute R inside Hadoop MapReduce -- R and Hadoop Streaming -- RHIVE - install R on workstations and connect to data in Hadoop -- ORCH - Oracle connector for Hadoop -- Data analytics -- Summary -- Chapter 6: Batch Analytics with Apache Spark -- SparkSQL and DataFrames -- DataFrame APIs and the SQL API -- Pivots -- Filters -- User-defined functions -- Schema - structure of data -- Implicit schema -- Explicit schema -- Encoders -- Loading datasets -- Saving datasets -- Aggregations -- Aggregate functions -- count -- first -- last -- approx_count_distinct -- min -- max -- avg -- sum…”

Tabla de Contenidos: “…Crunch -- An Example -- The Core Crunch API -- Primitive Operations -- Types -- Sources and Targets -- Functions -- Materialization -- Pipeline Execution -- Running a Pipeline -- Stopping a Pipeline -- Inspecting a Crunch Plan -- Iterative Algorithms -- Checkpointing a Pipeline -- Crunch Libraries -- Further Reading -- Chapter 19. Spark -- Installing Spark -- An Example -- Spark Applications, Jobs, Stages, and Tasks -- A Scala Standalone Application -- A Java Example -- A Python Example -- Resilient Distributed Datasets -- Creation -- Transformations and Actions -- Persistence -- Serialization -- Shared Variables -- Broadcast Variables -- Accumulators -- Anatomy of a Spark Job Run -- Job Submission -- DAG Construction -- Task Scheduling -- Task Execution -- Executors and Cluster Managers -- Spark on YARN -- Further Reading -- Chapter 20. …”

Tabla de Contenidos: “…God's -- Uplink: Will Samson, author of Justice in the burbs -- Prodigal treehuggers : our place in God's plan -- Uplink: Fred Van Dyke, director of environmental studies program, Wheaton College -- From insulation to incarnation : the journey back to God's plan -- Uplink: Peter Harris, founder, A Rocha -- Changing our communities -- The heat is on : the current Creation Care Movement and the climate crisis that sparked it -- Uplink: Vince Morris, risk manager, Wheaton College -- Spheres of change : where this movement is germinating -- Uplink: Paul Corts, president, Council for Christian Colleges and Universities -- Transformation : a movement of change -- Uplink: Bettie Ann Brigham, vice president for student development, Eastern University -- Mustard seed organizing : how this movement grows -- Uplink: Janel Curry, dean of research, Calvin College, and chair, Evangelical Environmental Network -- Molehills : overcoming obstacles to growth -- Uplink: Ed Johnson, president, Au Sable Institute of Environmental Studies -- Sustaining sustainability : keeping the movement alive -- Uplink: Jeff Greenberg, professor of geology, Wheaton College -- A bigger vision -- Synthesis : connecting into the bigger picture -- Uplink: Dorothy Boorse, professor of biology, Gordon College -- Red, blue, or green? …”
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Tabla de Contenidos: “…Editing, Deleting, and Controlling Your PostsChapter4; Notifications; Where You Get Notifications; Controlling Which Notifications You Receive; Making Notifications Less Intrusive; Chapter5; Sharing Photos and Videos; Viewing Photos; Sharing Photos; Getting Photos onto Google+; Tagging Photos; Editing and Deleting Photos; Adjusting Overall Photo Settings; Sharing Videos; Chapter6; Hanging Out; Starting a Hangout; Hanging Out; Hangouts on Mobile Devices; Tips for Better Hangouts; Chapter7; Searching and Sparks; Searching Google+; Getting Better Results; Saving Searches…”

Tabla de Contenidos: “…Exercise - Building a data lake on a Dataproc cluster -- Creating a Dataproc cluster on GCP -- Using GCS as an underlying Dataproc filesystem -- Exercise - Creating and running jobs on a Dataproc cluster -- Preparing log data in GCS and HDFS -- Developing a Spark ETL job from HDFS to HDFS -- Developing a Spark ETL job from GCS to GCS -- Developing a Spark ETL job from GCS to BigQuery -- Understanding the concept of an ephemeral cluster -- Practicing using a workflow template on Dataproc -- Building an ephemeral cluster using Dataproc and Cloud Composer -- Submitting a Spark ETL job from GCS to BigQuery using Dataproc Serverless -- Summary -- Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow -- Technical requirements -- Processing streaming data -- Introduction to Pub/Sub -- Introduction to Dataflow -- Exercise - publishing event streams to Pub/Sub -- Creating a Pub/Sub topic -- Creating and running a Pub/Sub publisher using Python -- Creating a Pub/Sub subscription -- Exercise - using Dataflow to stream data from Pub/Sub to GCS -- Creating a HelloWorld application using Apache Beam -- Creating a Dataflow streaming job without aggregation -- Creating a streaming job with aggregation -- Introduction to CDC and Datastream -- What is Datastream? …”

Tabla de Contenidos: “…Data Modeling with Machine Learning -- Usage -- Summary -- Exam Essentials -- Review Questions -- Chapter 6 Create and Manage Batch Processing and Pipelines -- Design and Develop a Batch Processing Solution -- Design a Batch Processing Solution -- Develop Batch Processing Solutions -- Create Data Pipelines -- Handle Duplicate Data -- Handle Missing Data -- Handle Late-Arriving Data -- Upsert Data -- Configure the Batch Size -- Configure Batch Retention -- Design and Develop Slowly Changing Dimensions -- Design and Implement Incremental Data Loads -- Integrate Jupyter/IPython Notebooks into a Data Pipeline -- Revert Data to a Previous State -- Handle Security and Compliance Requirements -- Design and Create Tests for Data Pipelines -- Scale Resources -- Design and Configure Exception Handling -- Debug Spark Jobs Using the Spark UI -- Implement Azure Synapse Link and Query the Replicated Data -- Use PolyBase to Load Data to a SQL Pool -- Read from and Write to a Delta Table -- Manage Batches and Pipelines -- Trigger Batches -- Schedule Data Pipelines -- Validate Batch Loads -- Implement Version Control for Pipeline Artifacts -- Manage Data Pipelines -- Manage Spark Jobs in a Pipeline -- Handle Failed Batch Loads -- Summary -- Exam Essentials -- Review Questions -- Chapter 7 Design and Implement a Data Stream Processing Solution -- Develop a Stream Processing Solution -- Design a Stream Processing Solution -- Create a Stream Processing Solution -- Process Time Series Data -- Design and Create Windowed Aggregates -- Process Data Within One Partition -- Process Data Across Partitions -- Upsert Data -- Handle Schema Drift -- Configure Checkpoints/Watermarking During Processing -- Replay Archived Stream Data -- Design and Create Tests for Data Pipelines -- Monitor for Performance and Functional Regressions…”

Tabla de Contenidos:

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: “…: Draft the Architectural Foundation; 9 What's the Spark?: Hook Your Audience with an "Inciting Incident"; 10 What's the Trap?…”

Tabla de Contenidos: “…Team BI - sharing personal BI data -- Corporate BI -- Power BI Premium -- Power BI Report Server -- Power BI consumption -- Creating our Power BI reports -- Reporting with on-premise data sources -- Incorporating Spark data -- Summary -- Index…”

Tabla de Contenidos: “…Re-writing the Script: Decoding the textual experience in the Bronze Age Levant (c.2000–1150 bc) (Rachael Thyrza Sparks) -- Chapter 6. The Function and Meaning of Writing in the Prehistoric Aegean: Some reflections on the social and symbolic significance of writing from a material perspective (Helène Whittaker) -- Chapter 7. …”

Tabla de Contenidos: “…; What Are Some Potential Sparks of Sino-Indian Confrontation?; How Might India Respond in Southeast Asia to Provocations Elsewhere?…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Introduction: The Age of Ecosystems -- Part One -- Chapter 1 Sparks of Magic: The Road from Sectors to Earliest Ecosystems -- The Rise of Conglomerates -- Disney's Hybrid Model -- Conglomerates Elsewhere -- The Evolution of Conglomerates in the West -- Chapter 2 The Walls Come Tumbling Down: The Dawn of an Ecosystem Economy -- The Four Hurdles -- The Great Acceleration of Technological Progress -- Consumer Behavior Evolution -- Ecosystem 1.0 -- Ecosystems Elsewhere -- Ecosystems in the US -- Looking Back -- Chapter 3 The Exhilarating Path Ahead: How the Uncertain Future Will Shape the Evolution of Ecosystems -- Ecosystem Growth Will Continue -- Emerging Ecosystems -- Geopolitics -- Major Regulatory Changes -- Environment, Social, and Governance (ESG) -- Artificial Intelligence Breakthrough -- The Metaverse -- Web 3.0 -- DeFi -- Extreme Cyber Events -- Acceleration of Space-Based Commerce -- Biotechnology -- Nanotechnology -- Part Two -- Chapter 4 Going Where the Puck Will Be: Choosing Where to Play in the New Ecosystem Economy -- Example 1: Mobility as a Service -- Example 2: Comfort and Security as a Service -- Example 3: Integrated Small Business Services -- Chapter 5 It Takes a Village: Finding Your Place in the Ecosystem, Choosing Your Role, and Picking the Right Collaborators -- Orchestrators and Participants -- Shades of Gray: A Spectrum of Ecosystem Roles -- Ecosystem Necessities Analysis -- Build, Acquire, or Partner? …”

“…When scholars and policymakers consider how technological advances affect the rise and fall of great powers, they draw on theories that center the moment of innovation-the eureka moment that sparks astonishing technological feats. In this book, Jeffrey Ding offers a different explanation of how technological revolutions affect competition among great powers. …”

Tabla de Contenidos: “…Older men in prison: survival, coping and identity (Elaine Crawley and Richard Sparks); 14. Loss, liminality and the life sentence: managing identity through a disrupted lifecourse (Yvonne Jewkes); Part 4: Expanding the Prison Effects Debate Beyond the Prisoner; 15. …”

Tabla de Contenidos: “…Motivations/solutionsBest practices; Example; References; Summary; Chapter 5: Temporal Patterns; A brief overview; Time series pattern; Motivations/solutions; Best practices; Example; Log pattern; Motivations/solutions; Best practices; Example; Conversation pattern; Motivations/solutions; Best practices; Example; References; Summary; Chapter 6: Analytics Patterns; Processing big data; Apache Hadoop; Apache Spark; Transforming data; A brief overview; Map/Reduce pattern; Motivations/solutions; Best practices; Example; Transformation pattern; Motivations/solutions; Best practices; Example…”

“…The first is Saqṭ al-Zand (Sparks of the Flint), the highly esteemed collection of qaṣīdah poetry of his youth, which he later disavowed. …”

“…Brexit calls into question consolidated assumptions on the finality of the EU, and simultaneously sparks new challenges. These new challenges are not only in regard of the constitutional settlements reached in the UK, notably in Scotland and Northern Ireland, but also on the future of European integration. …”