Intelliarts Logo
Contact us
Expertise:

Data Engineering

IntelliartsBlogData Engineering
Top Big Data Trends for 2025 and Beyond
Big Data, Data Engineering, Data Science
Top Big Data Trends for 2025 and Beyond
402.74 million terabytes of data for analysis are generated each day. Businesses that follow big data trends for decision making will always have an edge.
17 min read
Renewable Energy & Power Grid Load Balancing Challenges
Software Engineering, Data Engineering, IoT
Renewable Energy & Power Grid Load Balancing Challenges
Power grid balancing is essential for energy system performance. It also helps to address renewable energy and sustainable future challenges. Discover more.
10 min read
Preparing Data for ML Development in 6 Steps
Machine Learning, Big Data, Data Engineering
Preparing Data for ML Development in 6 Steps
Unsurprisingly, data preparation in machine learning brings huge overall value. From collecting and cleaning to feature engineering, every step is crucial.
14 min read
Data Analysis as the Key to Business Success
Data Analysis, Data Engineering, Data Science
Data Analysis as the Key to Business Success
Data analysis in business is on the rise. From supporting decision-making to providing an overview of customers and the market — analytics offers it all.
12 min read
The Complete Guide to Big Data Collection Methods
Big Data, Data Engineering, Data Science
The Complete Guide to Big Data Collection Methods
Big data collection is critical for transforming information into business insights. Discover methods, techniques, and practices for gathering big data.
12 min read
Time Series Analysis in Action: 6 Real-Life Case Studies
Data Engineering, Data Analysis, Machine Learning
Time Series Analysis in Action: 6 Real-Life Case Studies
Business analytics has always been useful for decision-making. Explore what time series analysis is and how to leverage it based on the top 6 real-life cases.
8 min read
Ethical Data Collection in the Digital Age
Big Data, Data Engineering, Data Science
Ethical Data Collection in the Digital Age
Make your data collection ethical to comply with existing regulatory frameworks, cultivate trust, and establish credibility in the eyes of your stakeholders.
6 min read
Data Preprocessing in Machine Learning [6 Best Practices]
Machine Learning, Data Engineering, Data Science
Data Preprocessing in Machine Learning [6 Best Practices]
Data preprocessing is critical for successful ML development. Discover how to prepare your data well and avoid multiple unnecessary iterations in your projects.
8 min read
Top 7 Applications of Data Science in Business
Data Science, Data Engineering
Top 7 Applications of Data Science in Business
Explore the elements of a data science strategy and understand its significance for businesses. Uncover seven methods and recommended guidelines to implement.
10 min read
How We’ve Built an All-purpose Big Data Pipeline
Data Engineering, Big Data
How We’ve Built an All-purpose Big Data Pipeline
In this case study, we’re sharing about creating a data pipeline from scratch, with ups and downs and moments not foreseen before opting into a data project.
8 min read
Role of Pipelines in the Successful Machine Learning Project
Data Engineering, Machine Learning
Role of Pipelines in the Successful Machine Learning Project
Discover how to build machine learning pipelines, why do we use pipelines in machine learning and what specific benefits they can bring to your project.
6 min read