Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. 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.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. MySQL An open-source relational databse management system with a client-server model. PostgreSQL A free, open-source relational database management system, also known as Postgres.

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. Databases, relational and non-relational It’s good to understand database architectures.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

NOVEMBER 15, 2021

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. CMAK Source: Github CMAK stands for Cluster Manager for Apache Kafka , previously known as Kafka Manager, is a tool for managing Apache Kafka clusters.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

OCTOBER 8, 2021

IBM InfoSphere Information Server is equipped with plenty of connectors that cover most relational and non-relational databases, CRMs, OLAP software, and BI applications. There are also out-of-the-box connectors for such services as AWS, Azure, Oracle, SAP, Kafka, Hadoop, Hive, and more. Pricing model. Ease of use.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 19, 2022

Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 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