Knowledge Hut

MARCH 20, 2024

Builds and manages data processing, storage, and management systems. Full-Stack Engineer Front-end and back-end database design are the domains of expertise for full-stack engineers and developers. Authorization and user authentication across servers and systems. Make sure programs operate safely and effectively.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. The candidates for this certification should be able to transform, integrate and consolidate both structured and unstructured data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

They are also accountable for communicating data trends. Let us now look at the three major roles of data engineers. Generalists They are typically responsible for every step of the data processing, starting from managing and making analysis and are usually part of small data-focused teams or small companies.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. The popular big data and cloud computing tools Apache Spark , Apache Hive, and Apache Storm are among these.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

U-Next

AUGUST 3, 2022

A high-ranking expert is known as a “Data Scientist” who works with big data and has the mathematics, economic, technical, analytic, and technological abilities necessary to cleanse, analyse and evaluate organised and unstructured data to help organisations make more informed decisions.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

FEBRUARY 21, 2023

Microsoft introduced the Data Engineering on Microsoft Azure DP 203 certification exam in June 2021 to replace the earlier two exams. This professional certificate demonstrates one's abilities to integrate, analyze, and transform various structured and unstructured data for creating effective data analytics solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

JULY 29, 2022

It relieves the MapReduce engine of scheduling tasks and decouples data processing from resource management. Low speed and no real-time data processing. MapReduce performs batch processing only: It reads a large file and analyzes it following pre-defined instructions. Here are some options to consider.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

DECEMBER 29, 2023

In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources. Engineering and problem-solving abilities based on Big Data solutions may also be taught.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

NOVEMBER 5, 2014

For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop. Hadoop provides higher order of magnitude and power for data processing. Owing to the removal of schema barrier, developers can now concentrate on developing applications rather than databases.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

NOVEMBER 14, 2015

Hadoop projects make optimum use of ever-increasing parallel processing capabilities of processors and expanding storage spaces to deliver cost-effective, reliable solutions. Owned by Apache Software Foundation, Apache Spark is an open-source data processing framework. Why Apache Spark?

Hadoop 52

Hadoop Project Big Data Healthcare 52