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. Data scientists work on deploying algorithms to the prepared data by the data engineers.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Edureka

FEBRUARY 9, 2023

The following are some of the fundamental foundational skills required of data engineers: A data engineer should be aware of changes in the data landscape. They should also consider how data systems have evolved and how they have benefited data professionals.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

Additionally, we must be aware of how data systems have developed and helped data professionals. Find out what makes on-premises and cloud data solutions different. A data engineer has to be well-versed in both the duties of the field and the related sector.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

JANUARY 19, 2022

A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52