Remove Algorithm Remove Big Data Skills Remove Data Process Remove Scala
article thumbnail

Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

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. Working on big data projects allows you to put your big data skills to the test.

article thumbnail

Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

These certifications have big data training courses where tutors help you gain all the knowledge required for the certification exam. It would be a combination of technical and analytical skills. Problem-Solving : Strong problem-solving abilities are crucial for solving complex data challenges and efficient data processing.

Insiders

Sign Up for our Newsletter

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

article thumbnail

50 PySpark Interview Questions and Answers For 2023

ProjectPro

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark.

Hadoop 52
article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model.