Tagged articles
6 articles
Page 1 of 1
ITPUB
ITPUB
Dec 25, 2023 · Big Data

Unlock Complex Data Scenarios with Simple MaxCompute SQL Techniques

This article shows how flexible, divergent thinking combined with basic MaxCompute (ODPS) SQL syntax can solve complex data problems such as generating sequences, splitting intervals, performing permutations and combinations, and analyzing continuous activity, providing step‑by‑step examples, SQL code snippets, and practical results.

IntervalsMaxComputeSequences
0 likes · 24 min read
Unlock Complex Data Scenarios with Simple MaxCompute SQL Techniques
dbaplus Community
dbaplus Community
Nov 7, 2020 · Databases

How OpenGauss Handles Oracle Objects: Indexes, Constraints, Views, and More

This article evaluates the compatibility of Oracle logical objects—indexes, constraints, views, sequences, and synonyms—in openGauss, detailing each object type, providing concrete SQL examples, highlighting differences such as bitmap index support, and summarizing the overall compatibility in a concise table.

ConstraintsOracle compatibilitySequences
0 likes · 11 min read
How OpenGauss Handles Oracle Objects: Indexes, Constraints, Views, and More
ITPUB
ITPUB
Apr 22, 2020 · Databases

Master Oracle Database Essentials: Startup, Users, Tablespaces, Indexes & More

This guide walks through essential Oracle Database administration tasks, covering how to start and shut down the database and listener, create and manage tablespaces, users, and permissions, control transactions, build and maintain indexes, views, materialized views, sequences, synonyms, and partitioned tables, with command examples and best‑practice tips.

Database AdministrationOraclePartitioning
0 likes · 21 min read
Master Oracle Database Essentials: Startup, Users, Tablespaces, Indexes & More
Python Programming Learning Circle
Python Programming Learning Circle
Mar 7, 2020 · Artificial Intelligence

Fundamentals of Functions, Sequences, and Their Role in Neural Networks

This article introduces basic mathematical functions—including linear, quadratic, exponential, and step functions—explains sequences and their formulas, and shows how these concepts underpin neural‑network computations such as weighted inputs, activation functions like sigmoid, and error‑backpropagation, providing clear examples and visual illustrations.

ActivationNeural NetworksSequences
0 likes · 11 min read
Fundamentals of Functions, Sequences, and Their Role in Neural Networks