Tabla de Contenidos: “…Machine generated contents note: Foreword Introduction Chapter 1 I Am Who I Say I Am Chapter 2 Aggressive Listening Chapter 3 Building Off Other People's Ideas Chapter 4 Jumping On The Spark Chapter 5 The Fear of Looking stupid Chapter 6 People Don't think About You as Much As You Think They Do Chapter 7 Facing Failure: Be Wrong To Be Right Chapter 8 Heightening Chapter 9 Yes And Maybe No Chapter 10 Small Decisions Add Up Chapter 11 The Cult Factor Chapter 12 Patiently Impatient Chapter 13 Pain Tolerance Chapter 14 Luck Is Like A Train Chapter 15 Fire The Assholes Chapter 16 Ushers, Vomit, and Why People Clean Bathrooms Chapter 17 Diversity Is A Choice Chapter 18 Are You Worth $10 An Hour? …”

Tabla de Contenidos: “…; Chapter 5: How Asking the Right Questions Can Spark Out-of-This-World Inspiration; Chapter 6: 101 Reasons to Follow Your Inspiration…”

Tabla de Contenidos: “…. -- Chapter 7: Building Asynchronous Streaming Systems with Kafka and Spark -- Introduction -- Setting up Kafka using Docker -- [Kafka] -- Kafka -- Point-to-point mechanism -- Pub-sub mechanism -- Kafka terminology -- Brokers -- Topics -- Partitions -- Producers and consumers -- Getting ready -- How to do it... -- Creating Kafka topics to stream data -- Getting ready -- How to do it... -- Writing a streaming program using Kafka Streams -- Getting ready -- How to do it... -- Improving the performance of the Kafka Streams program -- Getting ready -- How to do it... -- Writing a streaming program using Apache Spark -- Getting ready -- How to do it... -- Improving the performance of the Spark job -- How to do it... -- Aggregating logs into Kafka using Log4J -- Getting ready -- How to do it...…”

Tabla de Contenidos: “…Bigram extraction -- Building a graph -- Data analysis -- Understanding relationships between our own topics -- Finding influencers -- Conclusions -- Community structure -- Summary -- Chapter 9: Social Data Analytics at Scale - Spark and Amazon Web Services -- Different scaling methods and platforms -- Parallel computing -- Distributed computing with Celery -- Celery multiple node deployment -- Distributed computing with Spark -- Text mining With Spark -- Topic models at scale -- Spark on the Cloud - Amazon Elastic MapReduce -- Summary -- Index…”

Tabla de Contenidos: “…. / Darrin J. Rodgers and Nicole Sparks -- The devil's suicide : early Pentecostal hermeneutics of space and their ecotheological implications / Brandon Hubbard-Heitz -- The Pentecostal pacifism of John S. …”
Click para texto completo desde fuera UPSA
Click para texto completo desde UPSA

Tabla de Contenidos: “…Brogan-- The sun also rises : accommodation in inscripturation and interpretation / Kent Sparks -- Jeremiah, the Septuagint, the Dead Sea Scrolls and inerrancy : just what exactly do we mean by the ":original autographs"? …”
Click para texto completo desde fuera UPSA
Click para texto completo desde UPSA

Tabla de Contenidos: “…HHVSF: A Framework to Accelerate Drug-based High-throughput Virtual Screening on High-Performance Computers -- HBasechainDB -- A Scalable Blockchain Framework on Hadoop Ecosystem -- DETOUR: A Large-Scale Non-Blocking Optical Data Center Fabric -- Querying Large Scientific Data Sets with Adaptable IO System ADIOS -- On the Performance of Spark on HPC Systems: Towards a Complete Picture -- Experiences of Converging Big Data Analytics Frameworks with High Performance Computing Systems -- MACC : An OpenACC Transpiler for Automatic Multi-GPU Use -- Acceleration of Wind Simulation using Locally Mesh-Refined Lattice Boltzmann Method on GPU-Rich supercomputers -- Architecture of an FPGA-Based Heterogeneous System for Code-Search Problems -- TINS: A Task-Based Dynamic Helper Core Strategy for In Situ Analytics -- Machine Learning Predictions for Underestimation of Job Runtime on HPC System -- A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems -- Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation -- High performance LOBPCG method for solving multiple eigenvalues of Hubbard model: Efficiency of communication avoiding Neumann expansion preconditioner -- Application of a preconditioned Chebyshev basis communication-avoiding conjugate gradient method to a multiphase thermal-hydraulic CFD code -- Optimization of Hierarchical matrix computation on GPU…”

Tabla de Contenidos: “…Brandwein’s Influence on My Life: The Essential Spark -- Paul Brandwein’s Influence on My Life -- One Year -- Research at a Tender Age -- Intellectually Exciting Years at Forest Hills High School -- Encouraging the Uncertain -- Saturdays at the Brooklyn Botanic Gardens -- Question Everything -- One Class Was Enough -- Paul F. …”

Tabla de Contenidos: “…Learn to Last -- How to Remember -- How to Develop Skills and Habits -- How to Update Beliefs and Attitudes -- How to Spark Creative Insights -- 11. Transfer to Life -- Part 3. …”

Tabla de Contenidos: “…Real-Time Systems -- Hierarchical Scheduling with Ada 2005 -- A Comparison of Ada and Real-Time JavaTM for Safety-Critical Applications -- POSIX Trace Based Behavioural Reflection -- Static Analysis -- Static Detection of Access Anomalies in Ada95 -- One Million (LOC) and Counting: Static Analysis for Errors and Vulnerabilities in the Linux Kernel Source Code -- Bauhaus – A Tool Suite for Program Analysis and Reverse Engineering -- Verification -- SPARK Annotations Within Executable UML -- Runtime Verification of Java Programs for Scenario-Based Specifications -- Applications -- Secure Execution of Computations in Untrusted Hosts -- A Systematic Approach to Developing Safe Tele-operated Robots -- Towards Developing Multi-agent Systems in Ada -- Reliability -- A Software Reliability Model Based on a Geometric Sequence of Failure Rates -- Adaptive Random Testing Through Iterative Partitioning -- Run-Time Detection of Tasking Deadlocks in Real-Time Systems with the Ada 95 Annex of Real-Time Systems -- Compilers -- Abstract Interface Types in GNAT: Conversions, Discriminants, and C++ -- Using Mathematics to Improve Ada Compiled Code -- Distributed Systems -- Replication-Aware Transactions: How to Roll a Transaction over Failures -- The Arbitrated Real-Time Protocol (AR-TP): A Ravenscar Compliant Communication Protocol for High-Integrity Distributed Systems -- Interchangeable Scheduling Policies in Real-Time Middleware for Distribution…”

Tabla de Contenidos: “…Kolla -- From natural equality to frankpledge : the state of nature, ancient constitutionalism, and the rupture of the social contract in eighteenth-century antislavery writings / Sarah Winter -- From the state of nature to the natural state : transforming the foundations of science and civil progress in eighteenth-century British political thought / Pamela Edwards -- Their own state(s) of nature : the enlightenment social imaginary and the invention of Hungarian ethnic origins / László Kontler -- The place of the environment in state of nature discourses : reassessing nature, property and sovereignty in the Anthropocene / Tom Sparks -- The state of nature, prehistory, and mythmaking / Karl Widerquist and Grant S. …”

Tabla de Contenidos: “…PennTags at the University of Pennsylvania / Laurie Allen and Marcella Barnhart -- 11. Sparking Flickrs of insight into controlled vocabularies and subject searching / Cameron Hoffman and Sarah Polkinghorne -- 12. …”

“…By critically engaging with Metz’s concept of dangerous memory, which concerns memories of suffering and unfulfilled hopes that challenge the present, Merian demonstrates that the memories of Franco represent a decolonial dangerous memory that sparks individual and collective self-empowerment among Black women, members of the LGBTQ+ community, and favela residents. …”

Tabla de Contenidos: “…Creating Flash-based ComponentsSummary; Chapter 6: Debugging Flex Applications; Debugging Basics; Using trace() and the Logging API; Using Breakpoints; Profiling Flex Applications; Using the Network Monitor; Summary; Chapter 7: Working with Events; The Flex Event Architecture; Handling Events in MXML; Handling Events with addEventListener(); Using Event Bubbling; Using Custom Events; Using Custom Event Classes; Summary; Part II: Designing Flex Applications; Chapter 8: Using Flex Visual Controls; Instantiating and Customizing Controls; Using Spark Text Controls; Using Layout Controls…”

Tabla de Contenidos: “…-- Data integration -- Enterprise data warehousing -- Exploration on the data lake -- Apache Spark -- Log and telemetry analytics -- Integrated business intelligence -- Data governance -- Broad support for ML -- Security and Managed Virtual Network -- Management interface -- What is Azure Synapse Data Explorer? …”

Tabla de Contenidos: “…-- Running the performance test -- Flight SQL, the new kid on the block -- Summary -- Chapter 8: Understanding Arrow Database Connectivity (ADBC) -- Technical requirements -- ODBC takes an Arrow to the knee -- Lost in translation -- Arrow adoption in ODBC drivers -- The benefits of standards around connectivity -- The ADBC specification -- ADBC databases -- ADBC connections -- ADBC statements -- ADBC error handling -- Using ADBC for performance and adaptability -- ADBC with C/C++ -- Using ADBC with Python -- Using ADBC with Go -- Summary -- Chapter 9: Using Arrow with Machine Learning Workflows -- Technical requirements -- SPARKing new ideas on Jupyter -- Understanding the integration of Arrow in Spark -- Containerization makes life easier -- SPARKing joy with Arrow and PySpark -- Facehuggers implanting data -- Setting up your environment -- Proving the benefits by checking resource usage -- Using Arrow with the standard tools for ML -- More GPU, more speed! …”

“…The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. …”

Tabla de Contenidos: “…Yearning for Sacred Place: Wiesel's Hasidic Tales and Postwar Hasidism; 8. The Hasidic Spark and the Holocaust; Part 3. Belles Lettres; 9. …”
Click para texto completo desde fuera UPSA
Click para texto completo desde UPSA

Tabla de Contenidos: “…Configurations Advanced Features of MapReduce ; Distributed Cache ; Counter ; Job History Server ; The Difference from a Spark Job ; Summary ; Chapter 4: User Experience ; Apache Hive ; Hive Installation ; HiveQL ; UDF/SerDe ; Hive Tuning ; Apache Pig ; Pig Installation…”