Apache Cassandra PowerPoint PPT Presentations

In this presentation we have highlighted some of the key advantages of Apache Cassandra that makes it popular among companies around the world

A introduction to Apache Cassandra, what is it and how does it work ? How can it be used with Hadoop and how does it perorm ?

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This presentation gives an overview of the Apache Arrow project. It explains the Arrow project in terms of its in memory structure, its purpose, language interfaces and supporting projects. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/

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An open-source Java based framework introduced by Apache.Voluminous data gets processed usually named as Big Data.Manages large amount of data among the list of commodity servers.Delivers high distribution and linear scale performance.

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Cassandra is an open source data storage system developed at Facebook for inbox search and designed for storing and managing large amounts of data across commodity servers. It can server as both

A introduction to Apache Tinkerpop, what does it do and what is it used for ? How does it work ?

An introduction to Apache Drill, what is it ? How does it help with the analysis of big data in real time ? How is it related to Hadoop ?

A short introduction to Apache Thrift, what is it and how does it work ? How can it help to define multi language client/server interfaces ?

A short introduction to Apache Gora, what is it and how does it work ? How can it provide data store abstraction and persistency for big data ?

CONFERENCE MATERIAL

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CS 245: Database System Principles Notes 13: BigTable, HBASE, Cassandra Hector Garcia-Molina CS 245 Notes 13 * Sources HBASE: The Definitive Guide, Lars George, O ...

Data has been piling up in organizations since a number of years but since some time, because of the prevailing fervor behind ‘Big Data’ and ‘Business Intelligence’, there is awareness and availability of valued information and accurate storage of data to organizations, which is why they are happily storing their heaps of data and extracting desired information in required format.

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Web Scale Crawling with Apache Julien Nioche julien@digitalpebble.com Berlin Buzzwords 08/06/11

Apache Spark founded by the Spark team is fast whereas Databricks which is an optimized version of Spark is faster than it.

http://www.mobileapptelligence.com Cloud computing is mainly storing and accessing data in the Internet instead of the hard disk of your computer. With an online connection, cloud computing can be done anywhere. Google Cloud Dataflow, the successor to the much acclaimed MapReduce service, is a managed service that enables the android developers to create data pipelines that analyze data in both batch and streaming modes. MapReduce was processing the massive data sets using distributed computing. But now MapReduce stands outdated. Google has introduced cloud dataflow which will give you actionable insights from your data. There are no problems regarding deploying, maintaining or scaling infrastructure. Google cloud monitoring system will assist you to discover and fix strange behaviour of your application stacks. Constant error showing in app engine module and sluggish query times from cassandra database with minimal configuration, will be solved by Cloud Monitoring.

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This presentation gives an overview of the JanusGraph DB project. It explains the JanusGraph database in terms of its architecture, storage backends, capabilities and community. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/

The long-standing boss in the field of Big Data processing understood for its capacities for gigantic scale information handling.

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A introduction to Titan, what does it do and what is it used for ? How can it be used with Spark ?

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A introduction to zeppelin, what does it do and what is it used for ? How can it be used with Spark ? http://www.semtech-solutions.co.nz http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ref=dp_byline_cont_book_1 https://nz.linkedin.com/pub/mike-frampton/20/630/385

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... different from traditional relational database management systems in some significant ways. It . is designed for . distributed data stores . ... Homogeneous ...

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