required several tools to perform daily activities. The important data engineering tools are:-
spark is an open-source big data
engine. It is used by almost every organisation to analyse big data.
Apache hive is the data
on top of Hadoop. Using apache hive a user can write SQL queries to analyse big data.
Python is the primary
that most data engineers used to perform day-to-day activities.
Apache Kafka is an open-source publisher-subscriber
. Apache Kafka is used to building real-time data pipelines.
is a must for a data engineer. There are various tools where information can be extracted from big data by simply using SQL queries.
Apache airflow is the data pipeline/workflows
tool. It is usually used to schedule batch spark jobs.
Mongodb is a
database. It is used by data engineers to save unstructured data as it has a flexible schema.
7 most promising big data tools