View allAll Photos Tagged NoSQL
Pictures of the MongoUK conference held and sponsored by Skills Matter. We have recorded all sessions, including speaker footage, code and slides, so if you missed this event, you can watch the SkillsCast video's here:
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
Traditional enterprise architectures are based on monolithic applications and relational databases. Cloud native architectures are based on buiding single function REST-based microservices that support integration across denormalized NoSQL data stores and a wide range of web services.
MAY 15th, LONDON - Oren Eini aka Ayende Rahien delivers his talk on RavenDB & the magic beans. Discussing how RavenDB takes a lot of the pain of creating OLTP applications away, showing features that are meant to streamline development and optimize production usage. See the SkillsCast (Film, code, slides) at: skillsmatter.com/course/nosql/ayende-rahiens-ravendb-work...
#CONFDATA_Conférence gratuite Orsys_Big Data_Nantes_19 septembre 2013
Conférence gratuite animée par Guy Chesnot
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
#CONFDATA_Conférence gratuite Orsys_Big Data_Nantes_19 septembre 2013
Conférence gratuite animée par Guy Chesnot
Most people have experienced the boredom of being stuck in traffic. Up-to-date and credible information about congestion and detours could save us time and frustration in our everyday lives.
The Norwegian Public Roads Administration is now building a new infrastructure for road traffic measurements, and the system will provide high-quality, near-realtime information as publicly available open data. The project uses embedded devices for vehichle detection and classification, a network protocol from the automation industry (OPC-UA), distributed and asynchronous messaging (Akka) and NoSQL technology (Elasticsearch).
Pictures of the MongoUK conference held and sponsored by Skills Matter. We have recorded all sessions, including speaker footage, code and slides, so if you missed this event, you can watch the SkillsCast video's here:
#CONFDATA_Conférence gratuite Orsys_Big Data_Nantes_19 septembre 2013
Conférence gratuite animée par Guy Chesnot
MAY 15th, LONDON - Oren Eini aka Ayende Rahien delivers his talk on RavenDB & the magic beans. Discussing how RavenDB takes a lot of the pain of creating OLTP applications away, showing features that are meant to streamline development and optimize production usage. See the SkillsCast (Film, code, slides) at: skillsmatter.com/course/nosql/ayende-rahiens-ravendb-work...
MAY 15th, LONDON - Oren Eini aka Ayende Rahien delivers his talk on RavenDB & the magic beans. Discussing how RavenDB takes a lot of the pain of creating OLTP applications away, showing features that are meant to streamline development and optimize production usage. See the SkillsCast (Film, code, slides) at: skillsmatter.com/course/nosql/ayende-rahiens-ravendb-work...
via WordPress getlocalclout.com/big-data-and-servers/
Today’s data volumes are forcing every system administrators to rethink about their server configurations. With over 2.7 Zettabytes of data worldwide, and volumes doubling every 1.2 years (see big-data stats), dealing with this massive data deluge is creating new opportunities for business development.
Big Data not only describes the massive amounts of data stored on disk, but also refers to streaming data that originates from a wide set of sources, including web activity, mobile connected devices, and a myriad of business transactions. Unstructured, large, and emanating from multiple sources/formats, big-data is often characterized by the 5 Vs: Volume, Velocity, Variety, Veracity, and Value.
The tools for data infrastructures
To deal with the quality of data, computing infrastructure use an array of complex technologies, making server configuration particularly challenging, but also more interesting than traditional computing. Whether getting massive amounts of data from disk, or from live streams, the modern data infrastructure must be a distributed platform, selecting and moving data over parallel nodes to downstream processing, and ultimately interpretation. This movement towards distribution achieves the goal of dramatically increasing data throughput by spreading storage and computing over many nodes in a cluster.
To convert your server for dealing with large data, new platform tools for Warehousing include Apache Hadoopwith the HDFS filesystem and Apache Kafka (used with with Samza or Flink) for low-latency distributed streaming. Unstructured data can be accessed using modern NoSQL distributed databases, such as Cassandra or MongoDB, as well as many others. Also part of the modern data infrastructure are the downstream Data Analytics applications for statistical machine learning library; popular libraries include Apache Spark or H2O.ai. Several visualization platforms are available providing remarkable web-based data discovery, such as the D3 D3 javascript library.
Getting your hands dirty
With so many software tools, the complex interplay between, and the need for distributed cluster computing, building an effective production level infrastructure for data has become a daunting task even for the experienced administrator. Fortunately, you don’t have to build a cluster system to become familiar with the large data ecosystem. By using a Linux server and virtualization, you can configure a Hadoop cluster (see this tutorial) on a single machine. For step-by-step guides, see this Hadoop on VirtualBox blog and this how-to or this blog using Linux containers that offer a lower latency solution. To configure a server for analyzing Twitter data with Hadoop,
this how-to shows how cloud computing infrastructures can be configured. For using machine learning with Apache Spark, this step-by-step guide will show you how to install it on your server and this article will cover some basic programming examples.
Why not GPUs?
Apart from cluster-based computing, you can use the inherent parallelism of modern graphics processors (GPUs). This blog article describes the hardware/software configurations for a deep learning workstation server.
Conclusions
Whatever your needs, it is an exciting time to learn how to adapt your server to the new data world.
Amazon.com runs some of the world's largest distributed systems at scale. Much of the internet relies on these services to be highly available, performant, and to scale virtually limitlessly. This session will be a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases, to the Dynamo days, to the world of managed services like DynamoDB. We will cover lessons we learned facing Amazon Web Services, as well as internal services that power much of Amazon.com and AWS behind the scenes. Come learn how our distributed systems evolved over the last decade to take on their current form and hear insights that will help you get a running start with yours.
Pictures of the MongoUK conference held and sponsored by Skills Matter. We have recorded all sessions, including speaker footage, code and slides, so if you missed this event, you can watch the SkillsCast video's here:
Most people have experienced the boredom of being stuck in traffic. Up-to-date and credible information about congestion and detours could save us time and frustration in our everyday lives.
The Norwegian Public Roads Administration is now building a new infrastructure for road traffic measurements, and the system will provide high-quality, near-realtime information as publicly available open data. The project uses embedded devices for vehichle detection and classification, a network protocol from the automation industry (OPC-UA), distributed and asynchronous messaging (Akka) and NoSQL technology (Elasticsearch).
29th MAY, LONDON - Jim Webber and the Neo4J user group meet for a talk exploring powerful analytic techniques for graph data. Discovering some of the innate properties of (social) graphs from fields like anthropology and sociology. As well as how graph matching can be used to extract online business intelligence (for powerful retail recommendations). See the SkillsCast (film, code, slides) at: skillsmatter.com/podcast/nosql/discuss-a-little-graph-the...
Photos from the inaugural Neo4J User Group meeting at the Skills Matter eXchange on the 29th April 2011.
29th MAY, LONDON - Jim Webber and the Neo4J user group meet for a talk exploring powerful analytic techniques for graph data. Discovering some of the innate properties of (social) graphs from fields like anthropology and sociology. As well as how graph matching can be used to extract online business intelligence (for powerful retail recommendations). See the SkillsCast (film, code, slides) at: skillsmatter.com/podcast/nosql/discuss-a-little-graph-the...
#CONFDATA_Conférence gratuite Orsys_Big Data_Nantes_19 septembre 2013
Conférence gratuite animée par Guy Chesnot
18th JUNE, LONDON – The MongoDB User Group meetup at Skills Matter for a talk by William Candillon on JSONiq: the SQL of NoSQL. JSONiq is a high-level query language that enables developers to productively develop and execute complex queries on top of MongoDB. This is not your grandma’s SQL. See the SkillsCast (film, code, slides) at: skillsmatter.com/podcast/ajax-ria/london-mug-6/mh-7703
Notes from New Web Technologies, a talk from Chris Lea.
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