Data Solutions MongoDB Relational Database 
ProjectPro
NOVEMBER 5, 2014
MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.
Knowledge Hut
APRIL 25, 2024
However, advances in technology have now made it possible to store, process, and analyze big data quickly and effectively. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase.
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Cloud Academy
JANUARY 27, 2022
These fundamentals will give you a solid foundation in data and datasets. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Have knowledge of regular expressions (RegEx) It is essential to be able to use regular expressions to manipulate data.
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.
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.
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.
Knowledge Hut
SEPTEMBER 26, 2023
The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems.
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