Databand.ai

AUGUST 30, 2023

There are various ways to ensure data accuracy. Data validation involves checking data for errors, inconsistencies, and inaccuracies, often using predefined rules or algorithms. Data cleansing involves identifying and correcting errors, inconsistencies, and inaccuracies in data sets.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Edureka

APRIL 17, 2023

Supply Chain Optimization: Supply chain optimization involves using data analytics to optimize the supply chain process, reducing costs and improving efficiency. This type of analysis is particularly relevant in industries such as manufacturing and logistics.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

AltexSoft

AUGUST 29, 2023

After residing in the raw zone, data undergoes various transformations. The data cleansing process involves removing or correcting inaccurate records, discrepancies, or inconsistencies in the data. Data enrichment adds value to the original data set by incorporating additional information or context.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

Targeted Marketing & Campaigns: Big data gives telecom companies the ability to divide up their client base, analyze the use patterns and demographic information, and create personalized marketing campaigns and offers that will boost customer acquisition and retention.

Big Data 52

Big Data Retail Recruitment Transportation 52

Knowledge Hut

FEBRUARY 1, 2024

This is again identified and fixed during data cleansing in data science before using it for our analysis or other purposes. Identifying any incorrect data format like email address and then either fixing it or removing it. We have looked at eight steps for data cleansing in data science.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Knowledge Hut

JANUARY 18, 2024

IoT devices typically collect data from their surroundings and use this data to make decisions or automate processes. This technology is already being used in many industries, from manufacturing and logistics to healthcare and smart cities.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52