Database Storage Structures and Index Management Techniques

Database Storage Structures

There are several methods for storing user data in a database, each optimized for different performance and scalability requirements.

Regular Tables

A regular table (generally referred to as a “table”) is the most commonly used form of storing user data.

  • The database administrator has very limited control over the distribution of rows in an un-clustered table.
  • Rows can be stored in any order depending on the activity on the table.

Partitioned Tables

A partitioned table enables

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Data Structuring, Acquisition, Cleaning, and ETL Cheatsheet

Module 1 Cheatsheet — Foundations, Acquisition, DOM/XPath, Structuring


1) What “Big Data” means:


No single size cutoff. Think:
Volume (lots of rows/large objects), Variety (heterogeneous), Velocity (fast-changing), Veracity (quality).Implication: choose tools/storage/pipelines that match data scale and shape.

2) Three canonical encodings:


Tables / Relations / DataFrames

Heterogeneous columns; ideal for SQL/Pandas joins, filters, aggregations.

Arrays / Matrices / Tensors

Uniform numeric cells;

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Mastering SQL: Practical Database Design and Query Examples

SQL Database Management: Supplier and Product Inventory

Defining the Inventory Schema (DDL)

We begin by setting up the database structure for tracking suppliers and their products. Note the use of PRIMARY KEY, FOREIGN KEY, and CHECK constraints for ensuring data integrity.

Supplier Table Creation

CREATE TABLE Supplier (
    SupplierID INT PRIMARY KEY,
    Name VARCHAR(100) NOT NULL,
    City VARCHAR(50)
);

Product Table Creation

CREATE TABLE Product (
    ProductID INT PRIMARY KEY,
    Name VARCHAR(100)
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Programming Language Concepts: Binding, Scope, and Data Structures

Binding, Typing, and Namespaces

A binding is an association between an entity and an attribute, such as between a variable and its type or value, or between an operation and a symbol.

Variable Scope: Static vs. Dynamic

Variable Scope is the range of statements in which the variable is visible. A variable is visible in a statement if it can be referenced or assigned in that statement.

  • Static Scoping: The scope of a variable is determined prior to program execution and remains unchanged throughout (can
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Fundamentals of Algorithm Design, Analysis, and Complexity Theory

Iterative Algorithms: Definition and Structure

An iterative algorithm repeatedly executes a set of instructions using loops (for, while, do-while) until a certain condition is satisfied. Instead of solving a problem directly in one step, the solution is approached gradually by repeating computations and updating variables.

Iterative algorithms rely on repetition (iteration) and are widely used for problems involving repeated calculations, searching, and optimization. Examples include Linear Search,

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C Code for Knapsack, MST, and Shortest Path Algorithms

1. Fractional Knapsack Problem (Greedy Approach)

This implementation solves the Fractional Knapsack Problem using a Greedy Approach. Items are sorted based on their profit-to-weight ratio to maximize the total profit within the given capacity.

C Implementation

#include <stdio.h>
#include <stdlib.h>

struct Item {
    int weight, profit;
    float ratio;
};

// Comparison function for qsort: sorts items by ratio in descending order
int compare(const void *a, const void *b) {
    struct Item 
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