Big data glossary

SQL — a programming language for retrieving data from a relational database Structured data — data that is identifiable as it is organized in structure like rows and columns. You lay out the logical flow of the data pipeline you need, rather than building it explicitly out of MapReduce steps feeding into one another. It offers the building blocks that you need to build more complex algorithms for specific problems. Mahout Mahout is an open source framework that can run common machine learning algorithms on massive datasets.

Uploader: JoJokasa
Date Added: 4 October 2018
File Size: 20.41 Mb
Operating Systems: Windows NT/2000/XP/2003/2003/7/8/10 MacOS 10/X
Downloads: 65166
Price: Free* [*Free Regsitration Required]





Glossary of Old Akkadian oi. It provides a plug-in architecture for researchers to add their own techniques, with a commandline and window interface that makes it easy to apply them to your own glossaru. Acquisition CHAPTER 11 Serialization As you work on turning your data into something useful, it will have to pass between various systems and probably be stored in files at various points.

One person found this helpful 2 people found this helpful. Veracity refers to the correctness of the data Visualization — with the right visualizations, raw data can be put to use.

Yes, it s a short book and there is literally nothing worth to read. Smart grid — refers to using sensors within an energy grid to monitor what is going on in real-time helping to increase efficiency Software-as-a-Service — a software tool that is used of the web via a browser Spatial analysis — refers to analysing spatial data such geographic data or topological data to identify and understand patterns and regularities within data distributed in geographic space.

Its embedded graphs have become very popular with news organizations on the Web, illustrating a lot of stories.

Datafloq: An Extensive Glossary Of Big Data Terminology

Taxonomists' Glossary of Mosquito Anatomy. This makes it economical for the provider to offer very short-term rentals of flexible numbers of machines, which is ideal for a lot of data processing applications.

SQL — a programming language for bih data from a relational database Structured data — data that is identifiable as it is organized in structure like rows and columns. The massive size of the data also means that it needs to be stored across multiple machines in a distributed way. Biv represents a set of data values that all have some common properties; for example, one might hold the HTML content of web pages, while another might be designed to contain a language identifier string.

An Extensive Glossary of Big Data Terminology

Horizontal or Vertical Scaling Traditional database architectures are designed to run well on a single machine, and the simplest way to handle larger volumes of operations is to upgrade the machine with a faster processor or more memory.

To help you navigate the large number of new data tools available, this guide describes 60 glossaey the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools.

The example that Amazon uses is a shopping cart, where the set of items could be unioned together, losing any deliberate deletions but retaining any added items, which obviously makes sense—from a revenue perspective, at least! This icon signifies a tip, suggestion, or general note.

Let us know in the comments. The recommended option for running queries is through Hadoop.

Acunu Like MapR, Acunu is a new low-level data storage layer that replaces the traditional file system, though its initial target is Cassandra rather than Hadoop. You lose information that can be used to automatically check correctness and optimize for performance, but it becomes a lot easier to prototype and experiment.

Therefore we have created an extensive Big Data glossary that should give some insights. The job specifications are defined as a series of map and reduce steps, each implemented as a Python function.

A Aggregation — a process of searching, gathering and presenting data Algorithms — a mathematical formula that can perform certain analyses on data Analytics — the discovery of insights in data Anomaly detection — the search for data items in a dataset that do not match a projected pattern or expected behaviour. In-memory — a database management system stores data on the main memory instead of the disk, resulting is very fast processing, storing and loading of the data Internet of Things — ordinary devices that are connected to the internet at any time any where via sensors.

Big Data Glossary [Book]

Originally separate projects, they were recently merged into a single Apache open source team. To use it, you set up structured tables that describe your input and output, issue load commands to ingest your files, and then write your queries as you would in any other relational database.

This technique uses a small table splitting the possible range of gllssary values into ranges, with one assigned to each shard. What I really like, though, is the way that most of the scripts are published on the site, so new users have a lot of existing examples to start with, glossayr as websites change their structures, popular older scrapers can be updated by the community.

These capabilities do make it easier to limit the growth of your data than it would be in most systems, as well as making life easier for application developers. It makes it easy to switch between local gloxsary on small amounts of data to test your code and production jobs on your real Hadoop cluster. Grab your book now! As a result, several specialized technologies have appeared that support those needs and trade off some of the features of general purpose file systems required gloszary POSIX standards.

This handy glossary also includes a chapter of key terms that help define many of these tool categories:. This is negotiable with the commercial version, but the overhead is one reason to consider running something on a local cluster instead for large volumes of data.

3 thoughts on “Big data glossary”

Leave a Reply

Your email address will not be published. Required fields are marked *