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 Engineer Data Engineering Engineering 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 Engineer 52

Data Engineer Data Engineering Engineering Scala 52

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 Machine Learning 97

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 Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 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 Big Data MongoDB 40

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 Engineer 52

Data Engineer Data Engineering Engineering Data Storage 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 Engineer 52

Data Engineer Data Engineering Engineering AWS 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

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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40