DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

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. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

The top companies that hire data engineers are as follows: Amazon It is the largest e-commerce company in the US founded by Jeff Bezos in 1944 and is hailed as a cloud computing business giant. The average salary of a Data Engineer in Amazon is $109,000. Data Engineers use the AWS platform to design the flow of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 20, 2024

They are responsible for establishing and managing data pipelines that make it easier to gather, process, and store large volumes of structured and unstructured data. Assembles, processes, and stores data via data pipelines that are created and maintained.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

DECEMBER 4, 2023

Platform as a Service (PaaS) – The application is managed by the user, but resources are managed by the provider. You host your own platform, similar to YouTube, using a provider like AWS, Azure, or GCP and their streaming service. Below are the services provided by these cloud providers. which you can explore.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Rockset

DECEMBER 31, 2022

Because of this, standard transactional databases aren’t always the best fit. Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. The external stage area includes Microsoft Azure Blob storage, Amazon AWS S3, and Google Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

U-Next

OCTOBER 27, 2022

Cloud computing is the term used to describe internet data storage and access. It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. What Is AWS Solution Architecture? . In-depth expertise in AWS services . Describe Amazon EC2. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 This project also uses DataBricks since it is compatible with AWS.

Big Data 52

Big Data Coding Project Hadoop 52