“…James Joyce, que acumula un aluvión de siglos en un solo día desmesurado y abismal. Kafka, que en sus delirios lúcidos expresa la desolación y el anonadamiento del individuo, reducido a la inercia por la acción de fuerzas desconocidas, superiores, enemigas. …”

“…What You Will Learn Explore the pros and cons of monolithic and microservice architectures Use Clojure to effectively build a reallife application using Microservices Gain practical knowledge of the Clojure Pedestal framework and how to use it to build Microservices Explore various persistence patterns and learn how to use Apache Kafka to build event-driven microservice architectures Secure your Microservices using JWT Monitor Microservices at scale using the ELK stack Deploy Microservices at scale using container orchestration platforms such as Kubernetes In Detail The microservice architecture is sweeping the world as the de facto pattern with which to design and build scalable, easy-tomaintain web applications. …”

“…You will be writing Python/Spark Jobs in AWS Glue Jobs for data transformation and seeing real-time streaming using Kafka and Snowflake. You will be interacting with external functions and use cases, and finally, see the security features in Snowflake. …”

“…Su vasto abanico de temas, complejidad narrativa y continuidad en el tiempo, y el hecho de que tal vez los mejores relatos de los dos últimos siglos ya transcurridos sean fantásticos pensemos en Poe, Maupassant o Henry James en el XIX, y en Borges o Kafka en el XX , es ya una prueba cabal de que constituyen una categoría literaria universal de primer orden e inagotable potencia…”

“…This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka. Style and approach This advanced guide provides a detailed step-by-step account of deploying a Mesos cluster. …”

“…Learn how to • Discover what Apache Spark does and how it fits into the Big Data landscape • Deploy and run Spark locally or in the cloud • Interact with Spark from the shell • Make the most of the Spark Cluster Architecture • Develop Spark applications with Scala and functional Python • Program with the Spark API, including transformations and actions • Apply practical data engineering/analysis approaches designed for Spark • Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output • Optimize Spark solution performance • Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) • Leverage cutting-edge functional programming techniques • Extend Spark with streaming, R, and Sparkling Water • Start building Spark-based machine learning and graph-processing applications • Explore advanced messaging technologies, including Kafka • Preview and prepare for Spark’s next generation of innovations Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" …”

“…Application Architecture sessions, such as Stefania Stefansdottir's (ThoughtWorks) walk through of the practices all new architects and tech leads should keep in mind when starting a new project; Ian Varley (Salesforce) on spotting and correcting the cognitive biases that undermine your software architecture; and Andrew Bonham and Thiagarajan Subramanian's (Capital One) review of how to use reactive architecture and microservices, machine learning, H20, Akka, and Kafka. Microservices sessions, including Kasun Indrasiri's (WSO2) in-depth overview of common microservice resiliency patterns such as timeout, retry, circuit breaker, fail-fast, bulkhead, transactions, and more; Nathaniel Schutta (Pivotal) on the factors used to decide if something deserves to be a microservice or not; and Samir Behara (EBSCO) on building scalable microservice architectures with Envoy, Kubernetes, and Isti. …”

“…Dès lors, on dérivera de l’ailleurs-dehors de l’Italie fasciste et « démocratique », post-fasciste (Fortini), à l’Allemagne nazie et « démocratique », post-nazie (Brecht), à l’Égypte nomadisée, mosaïque de Schœnberg, à ses révoltes trop tôt trop tard d’hier et d’aujourd’hui, à la Palestine hallucinatoire de Kafka... D’où l’interférence avec les visions de Godard ou encore avec le regard-désert d’Antonioni. …”

“…You'll also learn how to employ different security mechanisms to safeguard your microservices and integrate microservices using event-driven architecture in the Apache Kafka ecosystem. As you advance, you'll get to grips with automated testing and popular testing tools. …”

“…What You'll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical adviceIntegrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and SparkUse StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processingUtilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processingTurbocharge Spark with Alluxio, a distributed in-memory storage platformDeploy big data in the cloud using Cloudera DirectorPerform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and SparkUnderstand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasksImplement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modelingStudy real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and MastercardWho This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics…”

“…What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. …”

“…Ticketmaster: Marketing and Selling the World's Tickets John Carnahan (Ticketmaster) Learn about the solutions that Ticketmaster uses for ticket sales and marketing, including Storm for stream processing, trend prediction, and anomaly detection; and Kafka, Storm, and Hbase for real-time "n-squared" marketing. …”

“…Further on, you will be introduced to working with RDDs, DataFrames and Datasets to operate on schema aware data, and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will also work through recipes on machine learning, including supervised learning, unsupervised learning & recommendation engines in Spark. …”

“…It includes Sandeep Uttamchandani's (Intuit) talk on the three patterns to best manage data dictionaries; Simona Meriam's (Nielsen) review of the best techniques to manage Spark-Kafka consumer offsets in a relational database; Guoqiong Song's (Intel) talk on LSTM-based time series anomaly detection using Analytics Zoo for Spark and BigDL; Wolff Dobson's (Google) update on TensorFlow's best practices; and a host of other talks covering the latest in data engineering and architecture; data science, machine learning and AI; data law and ethics; data streaming and Iot; and data visualization and UX. …”

“…Highlights include: Keynote speeches, including Eva Kaili (European Parliament) on data protection and innovation; Christine Foster (Alan Turing Institute) on building the data-driven future we want to live in; and Pierre Romera (ICIJ) on the challenges of sifting through 1.4 TB of data to produce journalism's headline generating "Paradise Papers" Sessions on Data Science and Machine Learning, including Jaya Mathew and Francesca Lazzeri (Microsoft) on using deep learning models for fraud detection; Ted Dunning (MapR Technologies) on AI Rendezvous technology; Paco Nathan (O'Reilly Media) and Ihab Ilyas (University of Waterloo) on HITL/human guided machine learning; Elisa Celis (EPFL) on fairness and diversity in online social systems; and David Talby (Pacific AI) on natural language understanding at scale with spaCy and Spark NLP Sessions on Data Engineering and Architecture, including Jim Webber (Neo4j) on Neo4j's new causal clustering architecture; Dean Wampler (Lightbend) on streaming microservices with Akka Streams and Kafka Streams; Flavio Junqueira (Dell EMC) on building stream pipelines with Pravega; and Jacques Nadeau (Dremio) on using Apache Arrow for high-speed data access The Strata Business Summit, including Executive Briefings on key issues such as predictive analytics and machine learning, Cloud strategy, governance security and privacy, and AI by luminaries such as Audrey Lobo-Pulo (The Australian Treasury), Kim Nilsson (Pivigo), Martin Goodson (Evolution AI), Simon Chan (Salesforce), and Ira Cohen (Anodot) FinData Day with sessions on using big da..…”

“…Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) and Holden Karau (Google) on training and deploying models with Kubeflow across different cloud vendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streaming pipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. …”

“…Big Data and Data Science in the Cloud (30+ sessions), includes a tutorial on running data analytic workloads in the cloud; Streaming Systems and Real-time Applications (20+ sessions), includes a tutorial on streaming applications as microservices using Kafka,..…”

“…Coverage includes What IoT is and how it is transforming businesses Common IoT challenges, building blocks, and architectures Core IoT networking protocols, including the 802.15.4 and LPWA families Models for protecting security and integrity in IoT networks Simple, low-cost IoT networks for homes and small businesses IPv6 adaptations for low power and lossy IoT networks IoT management protocols, including CoAP, MQTT, and SCADA Moving processing to the edge and to the “fog” layer Using data analytics to maximize the value of IoT systems Analyzing IoT data with Hadoop, Kafka, Spark, and the Hadoop ecosystem Industry-specific techniques, smart objects, protocols, and analytic techniques IoT for utilities, the smart grid, and energy efficiency IoT for connected and self-driving cars, mass transit, and cargo transportation IoT for manufacturing: reducing cost and accelerating delivery IoT for smart and connected cities: lighting, parking, and public safety IoT for safer, more efficient oil/gas production and mining Skill Level All levels Learn How To Plan, organize, build, and deploy end-to-end IoT solutions Navigate today’s IoT product marketplace Use maturing IoT technologies to solve many business and technical problems Make sense of the full IoT protocol stack, from 802.15.4 and LPWA to IPv6 adaptations and management Archite..…”

“…Highlights include: Complete video recordings of OSCON Portland 2019’s best keynotes, tutorials, and tech sessions offering hours of material to study and absorb at your own pace and schedule Keynotes, including Adam Jacob (Chef) on the war for the soul of open source; Kay Williams (Microsoft Azure) on lessons learned building a strong Kubernetes/VSCode open source community; Adrian Cockcroft (AWS) on leveraging cloud vendors to boost open source business success; and Pete Skomoroch (Workday) on the urgent need for a new open source ML development stack Tutorials offering deep dives into open source tech like Apache Kafka, Rust, extended Berkeley Packet Filters, Spring/Spring Boot, Ethereum DApps, Jenkins 2, Vault/Kubernetes, and Kubeflow The OSCON Business Summit: sessions offering an insider’s look at the open source implementations that have the most profound impact on business with talks by open source specialists at Uber, Pacific Life, Verizon Media, The Home Depot, Baidu, the BBC, and more Open Source do-it-now sessions, including Deb Nicholson’s (Software Freedom Conservancy) whirlwind tour of what not to do when running an open source project; Russell Rutledge’s (Nike) take on how to build an open source culture at your company; and Angie Jones (Applitools) and a panel of experts from Persea Consulting, Red Hat, Magento, and ForgeRock on the best ways to build and maintain open source communities Emerging Languages and Frameworks session..…”

“…Deep dive tutorials, including Jason Dai (Intel) on building deep learning apps for big data with the Analytics Zoo AI platform; Chaoran Yu (Lightbend) on doing machine learning (ML) with Kafka-based streaming pipelines; and Justina Petraityte (Rasa) on developing intelligent AI assistants based entirely on ML with open source Rasa NLU and Rasa Core. …”