Swift 20slides Ned 2010
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Swift is a data gathering and structuring tool that allows users to collaboratively collect and organize eyewitness data from crises and events into an open, standardized database through its API. It aims to reduce data loss by providing a platform for crowdsourced data collection and tagging so that more information can be captured and utilized in a timely, structured format. The database resulting from Swift relies on distributed storage and interoperable standards to ensure portability of the collaborative data.
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INTRODUCTION OF BIG DATA
This document introduces big data and provides an overview of key concepts. Big data refers to large, complex datasets that cannot be processed by traditional software. It is characterized by volume, velocity, variety, and veracity. Hadoop is an open-source framework for storing and processing big data across clusters of computers using MapReduce. Hive provides a data warehouse infrastructure to process structured data in Hadoop, while MapReduce is a programming model for parallel processing of large datasets.
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Hadoop
Hadoop is an open-source framework for storing and processing large datasets in a distributed computing environment. It allows for massive data storage, enormous processing power, and the ability to handle large numbers of concurrent tasks across clusters of commodity hardware. The framework includes Hadoop Distributed File System (HDFS) for reliable data storage and MapReduce for parallel processing of large datasets. An ecosystem of related projects like Pig, Hive, HBase, Sqoop and Flume extend the functionality of Hadoop.
Big data and hadoop
This document provides an overview of big data and Hadoop. It discusses what big data is, its types including structured, semi-structured and unstructured data. Some key sources of big data are also outlined. Hadoop is presented as a solution for managing big data through its core components like HDFS for storage and MapReduce for processing. The Hadoop ecosystem including other related tools like Hive, Pig, Spark and YARN is also summarized. Career opportunities in working with big data are listed in the end.
Bigdata and Hadoop Bootcamp
Get started on a powerful big data career track with the primer on big data and hadoop fundamentals, architecture and applications.
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- 1. swift is 1. data gathering engine (aggregator) 2. data structuring tool (tagger) 3. most importantly, an API for data
- 5. Swift is the index cards and the highlighters.
- 6. Swift gives you blanks to fill in.
- 7. twitch games
- 9. And yet, all of the eyewitness data is inseparable from the noise, where it will remain for hours, or perhaps never be utilized. Data is lost like waste heat.
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