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

AltexSoft

AUGUST 29, 2023

Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. Video explaining how data streaming works. After residing in the raw zone, data undergoes various transformations. This section is highly versatile, supporting both batch and stream processing.

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 Recruitment Retail 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

For instance, automating data cleaning and transformation can save time and reduce errors in the data processing stage. Together, automation and DataOps are transforming the way businesses approach data analytics, making it faster, more accurate, and more efficient.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

AltexSoft

MARCH 2, 2023

Source: McKinsy&Company For example, a data science team may spend 70 to 80 percent of their time preparing data for machine learning projects , with a prevailing part of this time being spent on data cleansing alone. Learn how data is prepared for machine learning in our dedicated video.

Data Governance 52

Data Governance Government Programming Healthcare 52

ProjectPro

OCTOBER 20, 2021

Six Sigma, factory-like approach to manufacturing and managing algorithm Considering algorithms as part of the entire flow instead of the whole process means that we can focus more on manufacturing algorithms and reducing errors. Data Volumes and Veracity Data volume and quality decide how fast the AI System is ready to scale.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52