Big Data Tools Data Security MySQL NoSQL 
Knowledge Hut
JUNE 23, 2023
You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.
Knowledge Hut
DECEMBER 26, 2023
In other words, they develop, maintain, and test Big Data solutions. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. Statistician A Statistician has the responsibility of getting useful insights from data.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Knowledge Hut
SEPTEMBER 6, 2023
Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.
Databand.ai
DECEMBER 13, 2022
Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). He also shares his thoughts on LinkedIn as a regular contributor around topics like AWS, data analytics, and data engineering.
ProjectPro
JULY 27, 2021
Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. Hadoop is highly scalable.
Expert insights. Personalized for you.
52 
Let's personalize your content