Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Master data processing methods.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. RDBMS stores structured data. RDBMS uses high-end servers.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 22, 2021

The most important aspect of Spark SQL & DataFrame is PySpark UDF (i.e., We write a Python function and wrap it in PySpark SQL udf() or register it as udf and use it on DataFrame and SQL , respectively, in the case of PySpark. By passing the function to PySpark SQL udf(), we can convert the convertCase() function to UDF().

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52