Knowledge Hut

JUNE 23, 2023

You should be well-versed in Python and R, which are beneficial in various data-related operations. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Get certified in relational and non-relational database designs, which will help you with proficiency in SQL and NoSQL domains.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Cassandra A database built by the Apache Foundation. Hadoop / HDFS Apache’s open-source software framework for processing big data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

NOVEMBER 15, 2021

Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

OCTOBER 8, 2021

ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats. They include NoSQL databases (e.g., MongoDB), SQL databases (e.g., Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40