U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JUNE 23, 2023

Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Step 3 - How to Choose Project Management Courses for Data Engineer Learning Path?

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Structured data is modeled to be easily searchable and occupy minimal storage space.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop Relational Database AWS 52

Silectis

JANUARY 3, 2021

MapReduce MapReduce is a component of the Hadoop framework that’s used to access big data stored within the Hadoop File System Metadata A set of data that describes and gives information about other data. MySQL An open-source relational databse management system with a client-server model.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Process 69

Process Data Lake Metadata Data Warehouse 69

Cloud Academy

JANUARY 27, 2022

Regular expressions can be used in all data formats and platforms. 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 Engineering Data Engineer Engineering 52