Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

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 Generalist 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. Finally, the data is published and visualized on a Java-based custom Dashboard.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

DECEMBER 7, 2021

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. However, it is not straightforward to create data pipelines.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 5, 2018

Microsoft has announced the addition of new connectors which will allow businesses to use SQL server to query other databases like MongoDB, Oracle, and Teradata. This will make Microsoft SQL server into a virtual integration layer where the data will never have to be replicated or moved to the SQL server. September 24, 2018.

Hadoop 40

Hadoop BI MongoDB Big Data 40

Edureka

FEBRUARY 9, 2023

Data engineers don’t just work with traditional data; they’re frequently tasked with handling massive amounts of data. A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 26, 2023

Using scripts, data engineers ought to be able to automate routine tasks. Data engineers handle vast volumes of data on a regular basis and don't only deal with normal data. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

NOVEMBER 17, 2023

Data engineers must therefore have a thorough understanding of programming languages like Python, Java, or Scala. Candidates looking for Azure data engineering positions should also be familiar with big data tools like Hadoop.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

ProjectPro

JANUARY 19, 2022

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

ProjectPro

NOVEMBER 14, 2015

Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. In this project, you will work on preparing a real-time analytics dashboard using popular Big Data tools.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Databand.ai

DECEMBER 13, 2022

He also has adept knowledge of coding in Python, R, SQL, and using big data tools such as Spark. Mark is the founder of On the Mark Data , where he uses the platform to share impactful ideas via content creation, as well as push for innovation through consulting startups.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

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.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. Problem Statement In this Hadoop project, you will get to understand how to perform data analytics like a Big Data Professional in the industry.

Hadoop 40

Hadoop Project Big Data Media 40