Remove Amazon Web Services Remove Data Cleanse Remove Portfolio Remove Unstructured Data
article thumbnail

Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

What are Data Engineering Projects? 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. You should be able to identify potential weak spots in data pipelines and construct robust solutions to withstand them.

article thumbnail

Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Big Data Use Cases in Banking and Financial Services Fraud Detection and Prevention: By examining vast amounts of transaction data and looking for patterns and anomalies suggestive of possible fraud, big data analytics assists banks and financial organizations in finding fraudulent activity.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Technical Data Engineer Skills 1.Python Explore and pursue portfolio-building opportunities.

article thumbnail

Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Data cleansing. Before getting thoroughly analyzed, data ? and as such confirming the usefulness and relevance of data for analytics. whether small or big ?

article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

They are also often expected to prepare their dataset by web scraping with the help of various APIs. Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.