Data Integrity

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What Is Data Integrity?

Data integrity means the data has been collected and stored accurately, as well as being contextually accurate to the model at hand. To maintain integrity, data must be collected and stored in an ethical, law-abiding way and must have a complete structure where all defining characteristics are correct and can be validated. 

Data integrity is applied in order to understand the health and maintenance of any piece of digital information utilized throughout its lifecycle. Data integrity involves looking at data in multiple ways to ensure that it is not only correct, but also applied to accurate context, has been properly stored, collected and more. Data integrity can be viewed as either a state, meaning that the data set is valid, or as a process, which describes the measures taken to ensure data set accuracy. Additionally, data integrity can be applied to database management as well through one of four categories: entity integrity, referential integrity, domain integrity and user-defined integrity.

More Tutorials on Built InA Step-by-Step Explanation of Principal Component Analysis (PCA)

 

Why Is Data Integrity Important?

Data integrity is crucial to ensuring the validity, recoverability, traceability, connectivity, reusability and maintainability of data.

Data is one of the largest driving factors in decision making for organizations of all sizes. In order to create the insights that drive these decisions, raw data must be transformed through a series of processes that makes it possible to be organized and for data relationships to be identified as insights. Data integrity exists to ensure the data remains accurate and uncompromised throughout this process. Poor data integrity can lead to incorrect business decisions and a distrust in the data-driven decision making process, potentially causing critical harm to a company’s future. 

Lack of data integrity may also have legal ramifications if data is not collected and stored in a legal manner, as outlined by international and national laws such as the General Data Protection Regulation (GDPR) and the U.S. Privacy Act.

Data can become compromised in a variety of ways:

  • Human error, such as unintended alterations
  • Errors in transferring
  • Malware/hacker interference
  • Disk crashes
  • Bugs and physical device damage
  • Illegal data collection

A thorough data integrity process is crucial and measures should include lock-tight data security measures, regular data backups and automated duplications, as well as the utilization of input validation, access control and encryption.

What Is Data Integrity?

 

What Are the Different Types of Data Integrity?

Physical integrity and logical integrity are the primary types of data integrity. 

 

Physical Integrity

Physical integrity is the overall protection of the wholeness of a data set as it is stored and retrieved. Anything that impedes the ability to retrieve this data, such as power disruption, malicious disruption, storage erosion and a slew of additional issues may cause a lack of physical integrity.

Many companies outsource their data storage to cloud providers, such as AWS, to manage the physical integrity of the data. This is particularly useful for small companies that benefit from offloading data storage to spend more time focusing on their business.

 

Logical Integrity

Logical integrity allows data to remain unchanged as it is utilized in a relational database. Maintaining logical integrity helps protect from human error and malicious intervention as well, but does so in different ways than physical integrity depending on its form.

Databases use four variations of logical integrity: 

  • Entity integrity 
  • Referential integrity
  • Domain integrity
  • User-defined integrity

Entity integrity involves the creation of primary keys to identify data as distinct entities and ensure that no data is listed more than once or is null. This allows data to be linked to and enables its usage in a variety of ways.

Referential integrity is the series of processes that is used to store and access data uniformly, which allows rules to be embedded into a database’s structure regarding the use of foreign keys. This allows for a consistent and meaningful combination of data sets across the database. Critically, referential integrity allows the ability to combine various tables within a relational database, facilitating uniform insertion and deletion practices.

Domain integrity refers to the collection of processes that ensure accuracy in each piece of data included in a domain, or a set of acceptable values that a column may contain.

User-defined integrity provides rules and constraints that are created by the user in order to use data for their specific purpose.

Courses

Expand Your Data Integrity Career Opportunities

Learn data integrity techniques and other in-demand data science skills through one of Udemy’s top-rated courses.

General Assembly

Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making.

4.5
(462)
General Assembly

In this two hour live workshop you will walk through the typical data science workflow and see how the pros identify powerful business predictions. You’ll get first-hand experience to explore the key tools and…

4.5
(462)
Udemy

Topic: 

TDM Overview

 

What You'll Learn: 

Dedicated Hands on lab exercises on any one TDM Tool for Data masking, Data Generation, sub setting. Candidates will be able to design a…

3.5
(46)
Udemy

Headline: 

RDBMS Concepts : SQL Basics : Complex SubQueries & Joins : Analytic Functions : Data Integrity : Transaction Handling

 

What You'll Learn: 

  • SQL over Oracle 19 C…
4.5
(275)
Certifications

Data Integrity Certifications + Programs

Take the next step in your career by earning a data science certification from Udacity.

General Assembly’s Data Science part-time course is a practical introduction to the interdisciplinary field of data science and machine learning, which lies at the intersection of computer science, statistics, and business. You will learn to use the Python programming language to acquire, parse, and model data for informing business strategy. 

This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics. There is an option to complete up to 25 hours of online preparatory lessons. Talk to the General Assembly Admissions team to discuss your background and confirm if this is the right fit for you..

 

What you'll accomplish

A significant portion of the course is a hands- on approach to fundamental modeling techniques and machine learning algorithms. You’ll also practice communicating your results and insights by compiling technical documentation and a stakeholder presentation. Throughout this expert-designed program, you’ll:

  • Perform exploratory data analysis with Python.
  • Build and refine machine learning models to predict patterns
  • from data sets.
  • Communicate data-driven insights to technical and non-technical audiences alike.
  • Apply what you’ve learned to create a portfolio project: a predictive model that addresses a real-world data problem.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Analytics Immersive is designed for you to harness Excel, SQL, and Tableau to tell compelling stories with a data driven strategy. This program was created for analysts, digital marketers, sales managers, product managers, and data novices looking to learn the essentials of data analysis. 

 

What you'll accomplish

You will learn to use industry tools, Excel, and SQL to analyze large real world data sets and create data dashboards and visualizations to share your findings. The Data Analytics Accelerator culminates in a.

Throughout this expert-designed program, you’ll:

  • Use Excel, SQL, and Tableau to collect, clean, and analyze large data sets.
  • Present data-driven insights to key stakeholders using data visualization and dashboards.
  • Tell compelling stories with your data.
  • Graduate with a professional portfolio of projects that includes a capstone project applying rigorous data analysis techniques to solve a real-world problem

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months. 

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

  • Collect, extract, query, clean, and aggregate data for analysis.
  • Gather, store and organize data using SQL and Git.
  • Perform visual and statistical analysis on data using Python and its associated libraries and tools.
  • Craft and share compelling narratives through data visualization.
  • Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
  • Compile clear stakeholder reports to communicate the nuances of your analyses.
  • Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
  • Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly
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