Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. These certifications will also hone the right skills for data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

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.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JUNE 29, 2016

A quick search for the term “learn hadoop” showed up 856,000 results on Google with thousands of blogs, tutorials, big data application demos, online MOOC offering hadoop training and best hadoop books for anyone willing to learn hadoop. Which big data tools and technologies should you try to master?

Hadoop 40

Hadoop Big Data Banking Consulting 40