Edureka

FEBRUARY 9, 2023

Experience with data warehousing and ETL concepts, as well as programming languages such as Python, SQL, and Java, is required. Data engineers must be well-versed in programming languages such as Python, Java, and Scala. The most common data storage methods are relational and non-relational databases.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

JANUARY 24, 2024

Machine Learning Tableau supports Python machine learning features. Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Rockset

JUNE 7, 2022

Relational databases scale up well, but can be painful to scale out when a company has more data than a single database server can manage. On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

ProjectPro

JANUARY 31, 2023

Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. So, if some functions are not accessible in built-in operators, we may programmatically build User Defined Functions (UDF) in other languages such as Java, Python, Ruby, and so on and embed them in Script files.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

NOVEMBER 15, 2021

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. Spark, Markdown, Python, Shell, and JDBC are all supported by the Zeppelin interpreter.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 19, 2022

The following are some of the essential foundational skills for data engineers- With these Data Science Projects in Python , your career is bound to reach new heights. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Start working on them today!

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

APRIL 12, 2023

Commonly used languages include JavaScript, TypeScript, Python, Ruby, PHP, and Java. However, many full-stack applications are built using a traditional client-server architecture with a relational or non-relational database. or Angular.js, which communicates with the back-end server built using Node.js

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

Knowledge Hut

SEPTEMBER 29, 2023

So, whether you're a Python person or a Java junkie, Azure's got your back. If a company wants to store customer data, this certification provides the foundational knowledge on choosing between relational or non-relational databases in Azure. Great for those keen on exploring data roles in the cloud.

Certification 52

Certification Cloud Computing Cloud Non-relational Database 52

Knowledge Hut

JANUARY 2, 2024

Python Originating in the late 1980s as a successor to the ABC language, Python has grown exponentially in popularity and application. Beyond its simplicity, Python's power lies in its versatility. Cons: Limited to database operations, variations in advanced features between systems, not suited for non-relational databases.

Programming Language 52

Programming Language Programming Java NoSQL 52