This document is an agenda for an iMovie HD sharing presentation. It introduces the presenter Jacky Chu and his background. It then outlines the main topics to be covered, including the key features of iMovie HD, popular plug-ins to enhance iMovie HD, and other external tools that can be used with iMovie HD projects. Contact information and links are provided for several plug-ins and stabilization tools. The presentation ends with inviting questions from the audience.
This document provides an overview of cloud computing, including its evolution, key characteristics, how to develop cloud applications using frameworks like MapReduce and Hadoop, and who might need cloud computing services. It discusses how cloud computing provides on-demand access to computing resources and data from any device, and how developers' key technical concern is services and data accessible over the internet. It also gives examples of major cloud computing providers like Amazon Web Services, Microsoft Azure, and Google App Engine.
Cassandra is a highly scalable, distributed, and fault-tolerant NoSQL database. It partitions data across nodes through consistent hashing of row keys, and replicates data for fault tolerance based on a replication factor. Cassandra provides tunable consistency levels for reads and writes. It uses a gossip protocol for node discovery and a commit log for write durability.
This document discusses using Apache Spark and Elasticsearch together to index streaming data in real-time and reduce network overhead. It provides an overview of Spark and Elasticsearch, demonstrates how to set up a Spark streaming job to index tweets in Elasticsearch in real-time, and describes a modification made to the Elasticsearch connector to write data directly to shards based on the Spark partition, avoiding unnecessary network hops. The document includes code samples and concludes with links for further information.
Elasticsearch and Spark is a presentation about integrating Elasticsearch and Spark for text searching and analysis. It introduces Elasticsearch and Spark, how they can be used together, and the benefits they provide for full-text searching, indexing, and analyzing large amounts of textual data.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
This document is an agenda for an iMovie HD sharing presentation. It introduces the presenter Jacky Chu and his background. It then outlines the main topics to be covered, including the key features of iMovie HD, popular plug-ins to enhance iMovie HD, and other external tools that can be used with iMovie HD projects. Contact information and links are provided for several plug-ins and stabilization tools. The presentation ends with inviting questions from the audience.
This document provides an overview of cloud computing, including its evolution, key characteristics, how to develop cloud applications using frameworks like MapReduce and Hadoop, and who might need cloud computing services. It discusses how cloud computing provides on-demand access to computing resources and data from any device, and how developers' key technical concern is services and data accessible over the internet. It also gives examples of major cloud computing providers like Amazon Web Services, Microsoft Azure, and Google App Engine.
Cassandra is a highly scalable, distributed, and fault-tolerant NoSQL database. It partitions data across nodes through consistent hashing of row keys, and replicates data for fault tolerance based on a replication factor. Cassandra provides tunable consistency levels for reads and writes. It uses a gossip protocol for node discovery and a commit log for write durability.
This document discusses using Apache Spark and Elasticsearch together to index streaming data in real-time and reduce network overhead. It provides an overview of Spark and Elasticsearch, demonstrates how to set up a Spark streaming job to index tweets in Elasticsearch in real-time, and describes a modification made to the Elasticsearch connector to write data directly to shards based on the Spark partition, avoiding unnecessary network hops. The document includes code samples and concludes with links for further information.
Elasticsearch and Spark is a presentation about integrating Elasticsearch and Spark for text searching and analysis. It introduces Elasticsearch and Spark, how they can be used together, and the benefits they provide for full-text searching, indexing, and analyzing large amounts of textual data.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.