A #database #index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage space to maintain the index data structure. Indexes are used to quickly locate data without having to search every row in a database
From playlist Database
Powered by https://www.numerise.com/ An introduction to basic index notation www.hegartymaths.com http://www.hegartymaths.com/
From playlist Index notation
The SQL Create Index Statement
This video explains how to use the CREATE INDEX statement of the Structured Query Language (SQL). It is the third in a series about a subset of SQL known as the Data Definition Language (DDL), which can be used to create and modify the table structures within a relational database. It in
From playlist Databases
Indexing 1: what makes google fast
Every search engine makes use of a data structure called an "inverted index", which is similar to an index we find at the end of a book: for any keyword we store a list of pages where this word can be found. An index provides sub-linear access time to the matching pages.
From playlist IR7 Inverted Indexing
From playlist Further Indices
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Mean of Grouped Frequency Tables
"Calculate mean from grouped frequency tables."
From playlist Data Handling: Frequency Tables
Laws of Text 9: Estimating Index Size
How can we guess how many pages are indexed by Google? Use a capture-recapture strategy by issuing queries with uncorrelated words.
From playlist Laws of Text
SQL Index |¦| Indexes in SQL |¦| Database Index
Indexes in SQL are used to speed up SQL queries. A database index works much like an index in a book. For example, if you have a database table with a list of people, a common query would be to lookup someone by name. Creating an index means the database will not have to scan the entire
From playlist Introduction to SQL (Computer Science)
0091 - [ C++ ] adding the logs to !raft
This is #91 in my series of live (Twitch) coding streams. This stream I continued working on implementing the log portion of the Raft Consensus algorithm (https://raft.github.io/). Notebook page: https://tinyurl.com/y7p6ng6e -- Watch live at https://www.twitch.tv/rhymu8354
From playlist Excalibur
This is #430 in my series of live (Twitch) coding streams. This stream I implemented the follower part of the log replication part of the Raft Consensus algorithm, in Rust. Notebook page: https://tinyurl.com/y2as4azg -- Watch live at https://www.twitch.tv/rhymu8354
From playlist Excalibur
Learn how to create dynamic back-of-the-book indexes in Atlas. This screencast provides step-by-step instructions and best practices for effective indexing—teaching you how to insert terms, create index ranges, add "see" and "see also" references, and sort entries in the Atlas Visual Edito
From playlist O'Reilly Atlas: Push-Button Publishing Is Here.
MS SQL Server Training Online | SQL Server 2012 Databases (70-462)
🔥Explore Our Free Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=MSSQLServerTrainingOnline&utm_medium=DescriptionFirstFold&utm_source=youtube http://www.simplilearn.com/os-and-databases/administering-ms-sql-server-2012-databases-certification-training?utm_ca
From playlist MS SQL Server Tutorial Videos
Text search with Lucene (2 of 2)
Intro to using the Lucene text search library. For other programming videos, including a complete beginner's course, visit http://codeschool.org
From playlist Text search with Lucene
Introduction to Sequences (Precalculus - College Algebra 67)
Support: https://www.patreon.com/ProfessorLeonard Professor Leonard Merch: https://professor-leonard.myshopify.com An exploration of sequences, how they are created, some of their common uses, and how to find a general term from a sequence.
From playlist Precalculus - College Algebra/Trigonometry
Text search with Lucene (1 of 2)
Intro to using the Lucene text search library. For other programming videos, including a complete beginner's course, visit http://codeschool.org
From playlist Text search with Lucene
Crash Course IR - Fundamentals
In this lecture we explore two fundamental building blocks of information retrieval (IR): indexing and ranked retrieval with TF-IDF and BM25 scoring models. Slides & transcripts are available at: https://github.com/sebastian-hofstaetter/teaching 📖 Check out Youtube's CC - we added our hig
From playlist Advanced Information Retrieval 2021 - TU Wien
Indexing 5: XML, structure and metadata
A simple extension of proximity indices (an extent index) allows us to index structured documents (e.g. XML) and store metadata about text elements. Structure and metadata elements are stored as extents (position spans), as a regular part of a proximity index. Linear merge is used to execu
From playlist IR7 Inverted Indexing
We don't need indexes in ebooks, right?
BIM Publishing Services CEO Kevin Broccoli on how indexes will evolve in the digital world.
From playlist TOC 2012
O'Reilly Webcast: Adding Value with Metadata: Open up the Index
In this webcast presentation we'll explore new paths for reusing content metadata for discovery and recommendations. Indexes are one of the most detailed metadata sets available for your content, and can be used to search, recommend, explore, and create buyers for your publications. We'll
From playlist O'Reilly Webcasts 2