Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Build a strong portfolio that exhibits data engineering projects you've completed independently or as part of coursework. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

NOVEMBER 15, 2021

Furthermore, excellent open-source contributions can elevate your portfolio and resume to the next level, empowering you to pursue new and promising career avenues in the future. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.

Big Data 52

Big Data Project Metadata Programming Language 52