Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MAY 9, 2024

Big Data Engineer Big data engineers focus on the infrastructure for collecting and organizing vast amounts of data, building data pipelines, and designing data infrastructures. They manage data storage and the ETL process. The standard salary range, however, is $95,000 to $154,000.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

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