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Oracle Streams Concepts, Processes And Setup Presentation
 
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In this tutorial you will learn about concepts, processes in setting up oracle streams for oracle databases.
Views: 7447 DBA Pro
Building a Real-Time Streaming Platform with Oracle, Apache Kafka, and KSQL
 
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One of the main use-cases for Apache Kafka is the building of reliable and flexible data pipelines. Part of Apache Kafka, Kafka Connect enables the integration of data from multiple sources, including Oracle, Hadoop, S3 and Elasticsearch. Building on Kafka's Streams API, KSQL from Confluent enables stream processing and data Transformations using a SQL-like language. This presentation will briefly recap the purpose of Kafka, and then dive into Kafka Connect with practical examples of data pipelines that can be built with it. We'll explore two options for data transformation and processing: Pluggable Single-Message Transformations and the newly-announced KSQL for powerful query-based stream processing. GWEN SHAPIRA Solutions Architect Confluent Gwen is a principal data architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
Views: 2943 Oracle Developers
Oracle 11g Streams:  Two-Database Replication Environment with Synchronous Captures
 
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Use this configuration when you want to configure a relatively simple replication environment that only involves two databases and a small number of tables. You might also choose to use synchronous captures if you have Oracle Database 11g Standard Edition. To use capture processes, you must have Oracle Database 11g Enterprise Edition.
Views: 35978 CLEO & CUQUIN
Programming with Streams in Java 8
 
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We all have heard about lambda expressions in Java 8, but the real unsung heroes of Java 8 are the streams. This presentation takes an example-driven approach to explore streams, their core capabilities from the application development point of view, and how to explore these capabilities to improve performance and efficiency. Author: Venkat Subramaniam Dr. Venkat Subramaniam is an award-winning author, founder of Agile Developer, Inc., and an instructional professor at the University of Houston. He has trained and mentored thousands of software developers in the US, Canada, Europe, and Asia, and is a regularly-invited speaker at several international conferences. Venkat helps his clients effectively apply and succeed with agile practices on their software projects. Venkat is a (co)author of multiple books, including the 2007 Jolt Productivity award winning book Practices of an Agile Developer. His latest book is Functional Programming in Java: Harnessing the Power of Java 8 Lambda Expressions. View more trainings by Venkat Subramaniam at https://www.parleys.com/author/venkat-subramaniam Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 46167 Oracle Developers
Real Time Proximity Marketing with Oracle Stream Analytics
 
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This is an example on how to build-up very quickly a proximity marketing use case in a commercial center using WIFI Hotspots to obtain the customers geo-location and the CRM's database to merge streaming data with shops fidelity data, in order to promote specific action to profiled users using Oracle Eloqua and Oracle Streaming Analytics or Oracle Internet of Things Cloud Service
Views: 465 Nino Guarnacci
Create a Streaming Application Solution to Manage Real-time Traffic
 
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This video shows you how to create a streaming application solution to monitor and manage Real-time Traffic by using Oracle Stream Analytics. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Oracle Streams Setup Demo Pt 1 of 3
 
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In this tutorial you will learn how to setup oracle streams on oracle databases.
Views: 4631 DBA Pro
I Have a Java 8 Stream
 
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The new lambda language features in Java SE 8 are catalysts for new APIs that would previously have been impractical or impossible. The Streams API, which enables bulk operations on collections and other aggregates, sequentially or in parallel, is one such example that is the centerpiece of the Java SE 8 libraries. This session, primarily via the IDE and Java tooling, examines the Stream API, architecture, and implementation in detail so that developers can learn how to use the API, get good performance and scalability, and apply the same design techniques to their own APIs. Author: Paul Sandoz A reformed RESTerfarian who previously co-led JAX-RS and led the implementation Jersey, who moved up into the clouds with the industrious bees of CloudBees, and then boomeranged back to Oracle and deep down into the Java stack. Blog: http://earthly-powers.blogspot.co.uk/ View more trainings by Paul Sandoz at https://www.parleys.com/author/paul-sandoz-1 Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 7009 Oracle Developers
Integrating Simulated Data as an Input Stream in Oracle Stream Explorer
 
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This tutorial will show you how to integrate a CSV file, add data context from a database table, and use this as an input stream in Oracle Stream Explorer. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
MicroProfile Reactive Streams: Control the Stream
 
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Gordon Hutchison, Software Developer, IBM The Java 9 Flow API provides Reactive Streams providers a common interface, but manipulating and controlling streams still requires use of the underlying Flow implementation library, such as Akka Streams, RxJava, or Reactor. This session introduces the MicroProfile Reactive Streams specification, which provides application developers the standardized APIs to manipulate and control streams. It then shows by example the refactoring of a monolith application to create microservices that use MicroProfile Reactive Streams, demonstrating how the specification makes it easy to write code independent of the specific streams library.
Views: 116 Oracle Developers
Tutoriel Oracle DBA1 (45) : Oracle Streams et Streams Pool.
 
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Bonjour, Abonnez-vous à Sybaway : http://goo.gl/dBJO13 Plus de tutoriels : http://goo.gl/Ut31RF Facebook : http://goo.gl/DC7AIA Twitter : http://goo.gl/PUrQga Sybaway
Views: 1061 Abdessamad HALLAL
Parallel Streams Workshop
 
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One of the promises of the new lambda and streams features of Java SE 8 is an easier path to parallel programming. Attend this session to learn when and how to use parallel streams—and when not to. Author: Stuart Marks Stuart Marks is a Principal Member of Technical Staff in the Java Platform Group at Oracle. He is currently working on enhancing the core libraries of the JDK. He has previously worked on JavaFX and Java ME at Sun Microsystems. He has over twenty years of software platform product development experience in the areas of window systems, interactive graphics, and mobile and embedded systems. Stuart holds a Master's degree in Computer Science and a Bachelor's degree in Electrical Engineering from Stanford University. View more trainings by Stuart Marks at https://www.parleys.com/author/stuart-marks Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 3014 Oracle Developers
[Stream] Oracle | Thera Roam
 
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1080 Появится после праздников \0/ Если вы хотите кинуть мне пару копеек. Yandex: 410012682387501 Qiwi: +79211675576 Сбербанк: 4276 8410 4013 4070
Views: 1178 worstplayerever
Example Of MAPR STREAMS uses
 
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This video visualizes for you, the flow of streaming data from oracle db to hbase, using mapr streams producer and consumer.
Views: 69 Project Al-Safi
Real Time UI with Apache Kafka Streaming Analytics of Fast Data and Server Push
 
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Lucas Jellema, CTO, AMIS Services BV Fast data arrives in real time and potentially high volume. Rapid processing, filtering, and aggregation are required to ensure timely reaction and actual information in user interfaces. meeting these requirements is a challenge, and making this happen in a scalable and reliable fashion is even more interesting. This session introduces Apache Kafka as the scalable event bus that takes care of the events as they flow in and Kafka Streams for streaming analytics. Both Java and Node applications are demonstrated that interact with Kafka and leverage server-sent events and WebSocket channels to update the web UI in real time. User activity performed by the attendees in the web UI is processed by the Kafka-powered back end and results in live updates on all clients.
Views: 3157 Oracle Developers
04 Oracle Stream Analytics - K Means Clustering Pattern
 
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K-Means Clustering Use this pattern to investigate anomalies that are being potentially identified in a predictive fashion over a streaming time period. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2016 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Java 8 Streams Tutorial
 
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Functional programming in Java: tutorial on how to use Java 8 Streams filter, map, sort, reduce and collect functions.
Views: 60035 Joe James
Oracle Streams Setup Demo Pt 3 of 3
 
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In this tutorial you will learn how to setup oracle streams on oracle databases.
Views: 931 DBA Pro
Oracle Replication Tutorial
 
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Oracle 11g Replication Tutorial
Views: 852 Rizki I
Learn Java 8: Lambdas and Functional Programming
 
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This tutorial walks through tons of examples. You will learn everything you need to know about lambdas and functional programming in Java 8. I'm the supplier. You’re the consumer (and you will get the joke after the session). Blog: https://blogs.oracle.com/java/java-8-code-swim Sample 3: Print function https://youtu.be/zolbIZS4SRQ?t=24m33s Sample 4: Under the hood https://youtu.be/zolbIZS4SRQ?t=33m41s Sample 5: Everything Test including functional interfaces - https://youtu.be/zolbIZS4SRQ?t=39m18s Sample 6: Serializable Test - https://youtu.be/zolbIZS4SRQ?t=46m43s Sample 7: Method Reference Test - https://youtu.be/zolbIZS4SRQ?t=52m24s Sample 8: Stream Test - https://youtu.be/zolbIZS4SRQ?t=59m13s Sample 9: Functional Test - https://youtu.be/zolbIZS4SRQ?t=1h6m31s Sample 10: Parallel Test - https://youtu.be/zolbIZS4SRQ?t=1h11m19s Sample 11: Optional Test - https://youtu.be/zolbIZS4SRQ?t=1h16m34s Sample: Nashorn Test - https://youtu.be/zolbIZS4SRQ?t=1h24m4s
Views: 30365 Oracle Developers
Oracle Stream Explorer and Event Processor - Detect missing event
 
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This video accompanies the blog article https://technology.amis.nl/2015/04/08/use-oracle-stream-explorer-and-the-service-execution-reporter-policy-to-analyze-service-behavior-find-too-late-closing-flights-on-saibot-airport/ that describes how using the Service Execution Reporting policy – and the bridge created from the reporter through JMS to Stream Explorer we can create a business monitor. The reports on service executions can be interpreted in a functional way to produce business insight. In this video we will specifically monitor airplanes at the gate – an example inspired by the Saibot Airport case in the Oracle SOA Suite 12c Handbook. Clearly, the time at the gate should be minimized. We will keep an eye on planes that remain at the gate for too long.
03 Oracle Stream Analytics - Eliminate Duplicate Pattern
 
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Eliminate Duplicates Use this pattern to remove duplicated events from the stream over a streaming time period. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2016 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Bringing complex event processing to Spark streaming
 
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Complex event processing (CEP) is about identifying business opportunities and threats in real time by detecting patterns in data and taking appropriate automated action. Example business use cases for CEP include location-based marketing, smart inventories, targeted ads, Wi-Fi offloading, fraud detection, churn prediction, fleet management, predictive maintenance, security incident event management, and many more. While Spark Streaming provides a distributed resilient framework for ingesting events in real time, effort is still needed to build CEP applications. This is because CEP use cases require correlation of events, which in turn requires us to treat every incoming event as a discrete occurrence in time. Spark Streaming treats the entire batch of events as single occurrence. Many CEP use cases also require alerts to be fired even when there is no incoming event. An example of such use case is to fire an alert when an order-shipped event is NOT received within the SLA times following an order-received event. At Oracle we have adopted a few neat techniques like running continuous query engines as long running tasks, using empty batches as triggers, etc. to bring complex event processing to Spark Streaming. Join us to learn more on CEP for Spark, the fastest growing data processing platform in the world. Speakers Prabhu Thukkaram, Senior Director, Product Development, Oracle Hoyong Park, Architect, Oracle
Views: 605 DataWorks Summit
Streams Java tutorial
 
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Views: 17 Genysis Lab
Java 8 Stream .sorted .forEach .map .filter .min Comparator.comparing
 
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A bunch of examples of using Java 8 streams to get stuff from a List.
Views: 5100 José Vidal
Oracle Replicacion Stream 11g R2 full
 
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En este video se demuestra la replicacion stream entre 2 servidores ORacle en la instalacion standar de la base de datos oracle 11g R2 windows server 2012 SO 64 bits Cualquier duda o pregunta estamos ala orden. Saludos [email protected] [email protected]
Exploring Java 8 Streams
 
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Java 8 brought a number of new features to Java, one of those features was the Streams API. This API brought an easy way to create functional style list manipulation elements using a simple API. This is extremely powerful and allows you to create extremely complex interactions with relatively little code. For those familiar with C#, the Java Streams API offers a core feature set very similar to what you can do with LINQ. Certain syntactic limitations exist as well as a lack of extension methods to easily expand the system. Java solves these differences in other ways. The java Stream javadocs are here: https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html Curious about the Reactive Extensions and how they're different? Check out the video on building Fizz Buzz using JavaRX: https://youtu.be/ZTqIg-Fk2n4 Discord: https://discord.gg/hU5Kq2u
Views: 6531 World of Zero
How to Use Java Streams to Access Existing Data with Ultra low Latency
 
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Per-Ake Minborg CIO / CTO Speedment Carina Dreifeldt CEO Speedment, Inc. Many applications analyze large amounts of existing data. For example within the field of high-frequency trading, AI, IoT, transportation, health care, situation awareness or logistics. These analytics type of applications often require that a huge range of operations and aggregations can be carried out with ultra-low latency in a predictable way over time. In this presentation, we will learn how developers can access data from existing databases with ultra-low latency using the standard java.util.stream.Stream interface.
Views: 256 Oracle Developers
Getting Started with PL/SQL Table Functions 3: Streaming Table Functions
 
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Streaming table functions are functions executed in the FROM clause of a query as part of a sequence of data transformations, all occurring within a single SQL statement. This video shows how to define a streaming table function and use it in Oracle SQL. Part of the Getting Started with PL/SQL Table Functions class at the Oracle Dev Gym: https://devgym.oracle.com/pls/apex/dg/class/pl-sql-table-functions.html ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2018 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Oracle and Java tutorial. Java Stored Procedure
 
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More lessons: http://www.learn-with-video-tutorials.com/oracle-and-java-tutorial-video Creating Java class, Loading the Class into the Oracle Database, Java Stored Procedure
Java 1.8 New Features : Streams by durga sir
 
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Oracle Java Certification: Shortest Way To Crack OCA 1Z0-808 Just @ Rs 640/- 1. For Java SE 8 Programmer I Exam 2. Topic wise Tests and Grand Tests 3. 280 Realistic Questions With Clear Explanation 4. Study Material (408 Pages) 5. Question Bank (107 Pages) 6. Videos (63 Sessions) Use the below links to access Durga Sir Videos and Downloadable Materials and Topic wise Tests and Grand Tests with Life-Time Access. 1. Oracle Java Certification: Shortest Way To Crack OCA 1Z0-808 Link: https://goo.gl/vcMKjz 2. Java 8 New Features In Simple Way Link: https://goo.gl/F2NfZi 3. Java 9 New Features In Simple Way: JShell, JPMS and More Link: https://goo.gl/s9PP1p 4. Complete JDBC Programming Part-1 Link: https://goo.gl/uT9sav 5. Complete JDBC Programming Part-2 Link: https://goo.gl/VmhM7t For More Info: DURGASOFT Online Team mail: [email protected] Ph:8885252627,7207212427/28
Java 8 Streams: Why should you use them? Speed!
 
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A short demo showing how java 8 streams take advantage of all the cores in my laptop while a traditional Java iterator does not.
Views: 24127 José Vidal
RDBMS to Kafka: Stories from the Message Bus Stop
 
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Stewart Bryson, Owner and Co-founder, Red Pill Analytics Bjoern Rost, Principal Consultant, The Pythian Group Inc. Apache Kafka is a massively scalable message queue that is being used at more and more places to connect more and more data sources. This presentation introduces Kafka from the perspective of a mere mortal DBA and shares the experience of (and challenges with) getting events from the database to Kafka and back, using various solutions and connectors. Demos show how to get started with Kafka, set up the kafka-connect-jdbc producer, poor man’s change data capture with flashback query, and replication technologies to turn database logs into Kafka events.
Views: 4713 Oracle Developers
Java Streams: Beyond The Basics
 
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(Recorded at Jfokus 2016. http://www.jfokus.com) Java Streams: Beyond The Basics Lambda expressions and the streams API add a more functional style of programming to Java; something developers have not really had in the past. The session will start with a short summary of the key features of both Lambda expressions and streams before moving on to some real world examples of how to use them effectively, including some pitfalls that should be avoided. We'll finish off with a quick look at some of the ideas for improvements to streams in JDK 9. Simon Ritter, Azul Systems Simon Ritter is the Deputy CTO of Azul Systems. Simon has been in the IT business since 1984 and holds a Bachelor of Science degree in Physics from Brunel University in the U.K. Originally working in the area of UNIX development for AT&T UNIX System Labs and then Novell, Simon moved to Sun in 1996. At this time, he started working with Java technology and has spent time working both in Java development and consultancy. Having moved to Oracle as part of the Sun acquisition, he focused on developer outreach for the core Java platform, Java for client applications and embedded Java. Now at Azul he is helping the Java community to understand Azul?s Java virtual machine technologies and products.
Views: 23844 Jfokus
Session Room 2 Live Stream: Oracle Code Bengaluru
 
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https://developer.oracle.com/code/bengaluru-april-2018
Views: 392 Oracle Developers
KSQL Streams and Tables | Level Up your KSQL by Confluent
 
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Try KSQL: https://confluent.io/ksql | This video explains the difference between a STREAM and TABLE, shows a detailed example, and explains how streaming queries are unbounded. KSQL is an open source, Apache 2.0 licensed streaming SQL engine that implements continuous, interactive queries against Apache Kafka®. KSQL makes it easy to read, write, and process streaming data in real-time, at scale, using SQL-like semantics. This offers an easy way to express stream processing transformations as an alternative to writing an application in Java or Python. KSQL provides capabilities such as streaming joins, aggregations, event-time windowing, and more! CONNECT Subscribe: http://youtube.com/c/confluent?sub_confirmation=1 Site: http://confluent.io GitHub: https://github.com/confluentinc Facebook: https://facebook.com/confluentinc Twitter: https://twitter.com/confluentinc Linkedin: https://www.linkedin.com/company/confluent Instagram: https://www.instagram.com/confluent_inc ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit http://confluent.io
Views: 1840 Confluent
IO Streams | Session-3 | Stream and Types of Streams? | Core Java Tutorials | Mr. Hari Krishna
 
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IO Streams Session-3 | Stream and Types of Streams? | Core Java Tutorials | Mr. Hari Krishna ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 ► Visit Our Website for Classroom Training: https://nareshit.in/core-java-training/ ► For Online Training: https://nareshit.com/course/core-java-online-training/ -------------------------- ► About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA ,Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA,Hyderabad, Chennai and Vijayawada,Bangalore India which provides online training across all the locations -------------------------- ► Our Online Training Features: 1.Training with Real-Time Experts 2.Industry Specific Scenario’s 3.Flexible Timings 4.Soft Copy of Material 5. Share Videos of each and every session. -------------------------- Please write back to us at [email protected]/[email protected] or Call us at USA: +1404-232-9879 or India: +918179191999 ** Check The Below Links** ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitech ► Follow us on Linkedin: https://in.linkedin.com/company/naresh-i-technologies ► Follow us on Instagram: https://www.instagram.com/nareshitech/
Views: 11929 Naresh i Technologies
Coherence 12.2.1 - Support for the Java 8 Stream API
 
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An overview of the support for the Java 8 Stream API included in the Oracle Coherence 12c (12.2.1) release. Coherence 12.2.1 YouTube Playlist: https://www.youtube.com/playlist?list=PLxqhEJ4CA3JtazSZ0CI9JyriEjyHkb-9R Oracle Coherence: ‪http://coherence.oracle.com‬ Coherence on OTN: http://www.oracle.com/technetwork/middleware/coherence/overview/ The Coherence Community: ‪https://java.net/projects/coherence Coherence Discussion Forums: https://forums.oracle.com/community/developer/english/fusion_middleware/application_server/coherence_support
Views: 812 OracleCoherence
Live Data Streaming in Power BI
 
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The speed of creating an Analysis or an Overview of the KPIs in a company is growing in significance. To make quality decisions, one needs both quality data and up-to-date data. Without accurate live data, it’s difficult to steer the ship. This session will look at today’s methods of live data streaming and in doing that we’re going to look at the famous IoT world. This session will incorporate samples using live key-strokes input, followed by more real-life samples. Excel, Visual Studio, Azure Data Streaming, PowerShell and Power BI will be shown. The session will require a camera to show Phone and Tablet Dashboard. Follow us on Twitter - https://twitter.com/mspowerbi More questions? Try asking the Power BI Community @ https://community.powerbi.com/
Views: 39853 Microsoft Power BI
Streams in JDK 8: The Good, the Bad, and the Ugly
 
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Simon Ritter, Deputy CTO, Azul Systems Stuart Marks, Oracle The Streams API, combined with lambda expressions, both introduced in JDK 8, provide a way for developers to use a functional style of programming for the first time in Java. As with all powerful features such as these, it is easy to abuse them and produce code that is difficult to read and hard to maintain. This session presents examples of streams to discuss whether the code is good, bad, or ugly and discusses ways the code could be changed. At the end of the session, you will have learned some new ways to use streams and lambdas—and some ways not to!
Views: 5036 Java
Streaming Analytics on Microsoft Azure
 
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Learn more about Streaming Analytics on Microsoft Azure cloud
Let’s Get Lazy: Explore the Real Power of Streams
 
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We can achieve efficiency not just by running things faster but also by avoiding things that shouldn’t be done in the first place. Lazy evaluations are a core feature of many functional programming languages. Your code can benefit from lazy evaluations with lambda expressions and, even more, with the power of Streams. This presentation starts with a discussion of lazy evaluations, with short examples from Haskell and Scala. Then it dives into Java to see how we can achieve similar benefits with lambdas and the Stream API.
Views: 5136 Oracle Developers
01 Oracle Stream Analytics - "A" Not Followed by "B" Pattern
 
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“A” not followed by “B” Use this pattern to identify when an expected event does not occur after a previous event, within a streaming time period. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2016 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
CON6851   API Design with Java 8 Lambdas and Streams
 
01:01:07
During Java’s 20-year history, a set of API design idioms and styles has emerged, based on the existing language features and APIs. Certain language features, such as generics, have had a great impact: 12 years after their introduction, APIs that use raw types look distinctly old-fashioned. Java 8 has introduced lambda expressions, methods implementations in interfaces, and a new Streams library. These changes raise new design issues for API designers. Like previous changes to the language, the new Java 8 features will have an impact on the way APIs are designed and used. This presentation examines a variety of techniques and idioms enabled by these new features and shows how API design has already begun to evolve in Java 8. Speakers: Brian Goetz, Java Language Architect, Oracle Brian Goetz is the Java Language Architect at Oracle, and was specification lead for JSR-335 (Lambda Expressions for the Java Language.) He is the author of the best-selling book "Java Concurrency in Practice" and is a frequent presenter at major industry conferences. Stuart Marks, Principal Member of Technical Staff, Oracle Stuart Marks is a Principal Member of Technical Staff in the Java Platform Group at Oracle. He is currently working on a variety of JDK core libraries projects, including Collections, Lambda, and Streams, as well as improving test quality and performance. He has previously worked on JavaFX and Java ME at Sun Microsystems. He has over twenty years of software platform product development experience in the areas of window systems, interactive graphics, and mobile and embedded systems. Stuart holds a Master's degree in Computer Science and a Bachelor's degree in Electrical Engineering from Stanford University.
Views: 2730 Oracle Developers
Leaner, Faster Code with Advanced SQL Techniques
 
45:45
Connor Mcdonald, Developer Advocate for SQL, Oracle Most SQL is so simple to write that we can hand off the job to an ORM tool or a similar mechanism. But by delving a little deeper into more-advanced SQL facilities, we can get performance benefits and write a lot less middle-tier code. This session highlights some SQL techniques for solving problems that would otherwise require a lot of complex coding. Learn how to become a more productive developer by expanding your knowledge of the SQL language.
Views: 3805 Oracle Developers
Keynote Live Stream: Oracle Code Bengaluru
 
01:56:27
https://developer.oracle.com/code/bengaluru-april-2018
Views: 1290 Oracle Developers
How To Stream Twitter Data Into Hadoop Using Apache Flume
 
14:10
In this video i will show you about apache flume set up and configuration. The below link will download the apache flume http://www.apache.org/dyn/closer.cgi/flume/1.4.0/apache-flume-1.4.0-bin.tar.gz The below link will download the flume-sources-1.0-SNAPSHOT.jar http://files.cloudera.com/samples/flume-sources-1.0-SNAPSHOT.jar In flume you have to configure the source i.e twitter ,channel is memory channel and sink i.e hdfs.Set the corresponding parameters. let me know your feed back. Thanks.
Views: 35861 LetUsLearn
Learn Java 8 Streams FAST AND FURIOUS
 
03:42
Java 8 brings new amazing functionalities, some of them based on Lambda Expressions, the stream new functionality is applied on the Collections interface and is the base of this video. References http://winterbe.com/posts/2014/07/31/java8-stream-tutorial-examples/ http://java.dzone.com/articles/using-lambda-expression-sort http://www.oracle.com/technetwork/articles/java/ma14-java-se-8-streams-2177646.html
Views: 1111 Lambda Pool
DistributableStream: A Java 8 Stream Computational Model for Big Data Processing
 
56:57
With lambda expressions and the Stream API, Java 8 becomes a highly powerful and expressive programming language that supports queries on in-memory data collections. These new Java features have shed light on a Stream computational model that enables users to easily process big data across multiple computational platforms. This session describes DistributableStream, the Java abstraction that supports distributed and federated query. DistributableStream builds on Stream, supporting execution of generic queries on any registered compute engine. At execution time, each portion of a DistributableStream is assembled as a local stream that represents data partitions locally stored on each machine. Authors: Garret Swart No bio available View more trainings by Garret Swart at https://www.parleys.com/author/garret-swart Kuassi Mensah Kuassi Mensah is Director of Product Management for Database Access Drivers, Frameworks and APIs including JDBC, Java in the Database, UCP, DRCP, Application Continuity and In-Database MapReduce. Mr Mensah holds a MS in Computer Sciences from the Programming Institute of University of Paris VI. He has published several articles and a book @ http://www.amazon.com/exec/obidos/ASIN/1555583296 He is is a frequent speaker at Oracle and IT events and maintains a blog @ http://db360.blogspot.com, as well as facebook, linkedin, and twitter (@kmensah) pages. View more trainings by Kuassi Mensah at https://www.parleys.com/author/kuassi-mensah Xueyuan Su Xueyuan Su is a Senior Member of Technical Staff at Oracle, focusing on Big Data technologies and products. He has broad interests in parallel and distributed systems, computer networks, and algorithm design and analysis. He obtained his Ph.D from Yale University with a concentration in theoretical computer science. View more trainings by Xueyuan Su at https://www.parleys.com/author/xueyuan-su Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 1463 Oracle Developers
Reactive Streams with Rx
 
01:00:38
Attend this session to learn how Netflix applies the Rx programming model to streams of data in a distributed, elastic system for anomaly detection, debugging, event handling, real time monitoring, and other use cases. Author: Ben Christensen Ben Christensen is a software engineer on the Netflix API Platform team responsible for fault tolerance, performance, architecture and scale while enabling millions of customers to access the Netflix experience across more than 800 different device types. Specializing in Java since the 90s and through years of web and server-side development Ben has gained particular interest and skill in building maintainable, performant, high-volume, high-impact systems. Prior to Netflix, Ben was at Apple in the iTunes division making iOS apps and media available to the world. Open source contributions include Hystrix (https://github.com/Netflix/Hystrix) and RxJava (https://github.com/Netflix/RxJava). View more trainings by Ben Christensen at https://www.parleys.com/author/ben-christensen Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 4147 Oracle Developers

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