Big Data Glossary by Pete Warden PDF

By Pete Warden

ISBN-10: 1449314597

ISBN-13: 9781449314590

To assist you navigate the big variety of new facts instruments on hand, this consultant describes 60 of the newest suggestions, from NoSQL databases and MapReduce methods to computing device studying and visualization instruments. Descriptions are in response to first-hand adventure with those instruments in a creation environment.

This convenient thesaurus additionally contains a bankruptcy of key phrases that support outline lots of those device categories:

  • NoSQL Databases—Document-oriented databases utilizing a key/value interface instead of SQL
  • MapReduce—Tools that help allotted computing on huge datasets
  • Storage—Technologies for storing facts in a allotted manner
  • Servers—Ways to hire computing strength on distant machines
  • Processing—Tools for extracting worthy details from huge datasets
  • Natural Language Processing—Methods for extracting info from human-created textual content
  • Machine Learning—Tools that immediately practice information analyses, in keeping with result of a one-off research
  • Visualization—Applications that current significant facts graphically
  • Acquisition—Techniques for cleansing up messy public info resources
  • Serialization—Methods to transform facts constitution or item nation right into a storable structure

Show description

Read Online or Download Big Data Glossary PDF

Best data modeling & design books

Get An Introduction to Data Base Systems PDF

Offers an authoritative source for readers drawn to gaining perception into and knowing of the rules of database platforms. presents stable grounding within the foundations of database expertise and offers a few principles as to how the sector is probably going to increase sooner or later. New seventh version.

Interactive Data Visualization for the Web: An Introduction by Scott Murray PDF

Create and submit your individual interactive facts visualization tasks at the Web—even when you have very little event with info visualization or internet improvement. It’s effortless and enjoyable with this sensible, hands-on creation. writer Scott Murray teaches you the basic recommendations and strategies of D3, a JavaScript library that permits you to exhibit information visually in an internet browser.

Ellis Horowitz's Fundamentals of data structures in Pascal PDF

This has lengthy been the textual content of selection for sophomore/junior point facts constitution classes in addition to extra complex courses-no different e-book bargains higher intensity or thoroughness. The transparent presentation and coherent association aid scholars research uncomplicated talents and achieve a conceptual seize of set of rules research and knowledge buildings.

Ben Jones's Communicating Data with Tableau: Designing, Developing, and PDF

Transcend spreadsheets and tables and layout an information presentation that actually makes an influence. This functional advisor indicates you ways to take advantage of Tableau software program to transform uncooked info into compelling info visualizations that offer perception or enable audience to discover the information for themselves. perfect for analysts, engineers, agents, newshounds, and researchers, this ebook describes the rules of speaking information and takes you on an in-depth travel of universal visualization tools.

Extra resources for Big Data Glossary

Example text

Info CHAPTER 10 Acquisition Most of the interesting public data sources are poorly structured, full of noise, and hard to access. I probably spend more time turning messy source data into something usable than I do on the rest of the data analysis processes combined, so I’m very thankful that there are multiple tools emerging to help. Google Refine Google Refine is an update to the Freebase Gridworks tool for cleaning up large, messy spreadsheets. It has been designed to make it easy to correct the most common errors you’ll encounter in human-created datasets.

You still define a schema for your data and the interfaces you’ll use, but instead of being held separately within each program, the schema is transmitted alongside the data. That makes it possible to write code that can handle arbitrary data structures, rather than only the types that were known when the program was created. This flexibility does come at the cost of space and performance efficiency when encoding and decoding the information. Avro schemas are defined using JSON, which can feel a bit clunky compared to more domainspecific IDLs, though there is experimental support for a more user-friendly format known as Avro IDL.

Info native support for types that have no equivalent in JSON, like blobs of raw binary information and dates. Thrift With Thrift, you predefine both the structure of your data objects and the interfaces you’ll be using to interact with them. The system then generates code to serialize and deserialize the data and stub functions that implement the entry points to your interfaces. It generates efficient code for a wide variety of languages, and under the hood offers a lot of choices for the underlying data format without affecting the application layer.

Download PDF sample

Big Data Glossary by Pete Warden

by Ronald

Rated 4.30 of 5 – based on 48 votes