ProjectPro

JUNE 6, 2025

Azure Files: File-sharing service run by Azure. Azure Queues: It serves as a messaging service to facilitate message exchange between various modules or applications. Azure Tables: NoSQL storage for storing structured data without a schema. Why should you use Azure Data Lake instead of Amazon Web Services S3?

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In this, there are options for SQL Server, Oracle, MariaDB, MySQL, PostgreSQL, and Amazon Aurora.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

JUNE 6, 2025

Cloud-Native are technologies and services built to leverage cloud architecture. What are some examples of popularly used Cloud Computing services? Windows Azure, Amazon Web services, and iCloud are the very popular ones. They get used in NoSQL databases like Redis, MongoDB , data warehousing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS). To ensure efficient data storage, retrieval, and scalability, you leverage AWS DocumentDB, a managed NoSQL database service compatible with MongoDB. It is designed to be compatible with MongoDB.

AWS 40

AWS Database MongoDB Management 40

ProjectPro

JUNE 6, 2025

Read this blog to know more about the core AWS big data services essential for data engineering and their implementations for various purposes, such as big data engineering , machine learning, data analytics, etc. Amazon Web Services, or AWS, remains among the Top cloud computing services platforms with a 34% market share as of 2022.

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AWS Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Apart from Python, you will master several highly demanded skills such as SQL, RDBMS, ETL, Data Warehousing, NoSQL, and Spark, all supported by interactive labs and projects. SQL, NoSQL). AWS, Azure, Google Cloud), machine learning algorithms/models, big data technologies (e.g., Hadoop, Spark), and databases (e.g.,

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

Comparison Of AWS Aurora With Other Databases Let us compare AWS Aurora with other databases, such as Amazon RDS, DynamoDB, etc. Amazon Aurora Vs. RDS AWS Aurora and RDS (Relational Database Service) are both cloud-based database services offered by Amazon Web Services.

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Exam Duration: 60 minutes Certification Exam Cost: $100 USD AWS Big Data Certifications Here is one of the most widely recognized AWS big data certifications - Amazon Web Services Big Data Specialty Certification.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

Knowledge Hut

NOVEMBER 16, 2023

There is a clear shortage of professionals certified with Amazon Web Services (AWS). Currently, Amazon Web Services is used in more than 190 countries by over 100,000 customers. Why do businesses need Amazon cloud computing? Amazon Web Services offer a secure and durable technology platform.

AWS 98

AWS Certification IT Amazon Web Services 98

ProjectPro

JUNE 6, 2025

An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout. Amazon Web Services (AWS), Google Cloud Platform (GCP) , and Microsoft Azure are the top three cloud computing service providers.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Here is a list of some of the best data warehouse tools available to help organizations harness the power of their data: Amazon Redshift Amazon Redshift is a fully managed data warehousing service provided by Amazon Web Services (AWS) - a leading cloud computing platform.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Knowledge Hut

NOVEMBER 7, 2023

Google argues that its services are less expensive and more cost-effective than competitors. Amazon Web Services (AWS) Amazon Web Services or AWS is a subsidiary of Amazon. Amazon Web Services offers on-demand cloud computing services like storage and data processing.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JUNE 6, 2025

This includes understanding database management, with a focus on SQL (Structured Query Language) and NoSQL databases. Learning NoSQL databases like MongoDB or Cassandra will also expand your skills, as they are used to handle unstructured and semi-structured data, common in big data environments.

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Data Engineer Data Engineering Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

This is where AWS cloud services enter the picture. From crunching massive data sets to orchestrating seamless cloud solutions, Amazon Web Services have become the go-to choice for businesses and professionals riding the cloud wave. Are you ready to ride this wave and become an AWS Cloud Practitioner?

AWS 40

AWS Cloud Amazon Web Services Cloud Computing 40

ProjectPro

JUNE 6, 2025

Based on scalability, performance, and data structure, data is stored in suitable storage systems, such as relational databases, NoSQL databases, or data lakes. AWS Glue: AWS Glue is a fully managed ETL service on Amazon Web Services that simplifies data preparation, cataloging, and transformation without needing infrastructure management.

Data Science 40

Data Science Building AWS Data Lake 40

ProjectPro

JUNE 6, 2025

and is accessed by data engineers with the help of NoSQL database management systems. The companies’ choice of cloud service providers depends on their data storage requirements. And the three popular choices for that are Microsoft Azure , Amazon Web Services (AWS), and Google Cloud Platform (GCP).

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

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. NoSQL is a distributed data storage that is becoming increasingly popular.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

AltexSoft

MAY 14, 2021

NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”. Cassandra is an open-source NoSQL database developed by Apache.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 6, 2025

29) GCP Project to Explore Cloud Functions The market's three popular cloud service providers are Amazon Web Services, Microsoft Azure , and GCP. AWS Data Engineering Project Ideas We will now discuss a few data engineering project ideas that only leverage Amazon Web Services and related products.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. Amazon Web Services (AWS), Microsoft, Google, IBM, Oracle, Accenture, Deloitte, Facebook, Netflix. If so, you need to go somewhere else.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Confluent

MARCH 4, 2019

Thus, they created different Terraform scripts for each cloud provider that would be offered as an option, such as Amazon Web Services (AWS) , Google Cloud and Microsoft Azure. The first layer would abstract infrastructure details such as compute, network, firewalls, and storage—and they used Terraform to implement that.

Cloud 89

Cloud Banking Kafka NoSQL 89

DareData

JANUARY 30, 2023

Learning SQL / NoSQL and how major orchestrators work will definitely narrow the gap between the quality model training and model deployment. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

ProjectPro

JUNE 6, 2025

Source- Real-time Twitter Data Analytics Project Using Flume AWS Kinesis Amazon Kinesis is a managed streaming service on Amazon Web Services (AWS) designed for handling real-time data at scale. The Flask server, receiving insights from Spark, creates intuitive dashboards showcasing the analyzed Twitter data.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Knowledge Hut

JANUARY 9, 2024

Furthermore, via hands-on projects, applicants learn the ways to utilize public cloud computing platforms like Microsoft Azure and Amazon Web Services (AWS). First, they evaluate the drawbacks of traditional file systems and draw a comparison with NoSQL databases (like HBase) and relational databases (like MySQL).

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

NOVEMBER 16, 2023

AWS services list and products cheat sheet provides information on these fundamental concepts. Information on cloud computing and AWS (Amazon Web Services) should be included in any AWS terminology cheat sheet. AWS Amazon Web Services (AWS) is an Amazon.com platform that offers a variety of cloud computing services.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Knowledge Hut

NOVEMBER 17, 2023

Amazon Web Services (AWS) delivers on-demand computing resources and facilities in the cloud. Amazon RDS allows access to several acquainted database engines, including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server. Amazon Web Services have completely changing the landscape of cloud services.

AWS 52

AWS Amazon Web Services PostgreSQL Relational Database 52

U-Next

AUGUST 17, 2022

NoSQL – This alternative kind of data storage and processing is gaining popularity. The term “NoSQL” refers to technology that is not dependent on SQL, to put it simply. Because of this, all businesses—from global leaders like Apple to sole proprietorships—need Data Engineers proficient in SQL.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

Knowledge Hut

MARCH 19, 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. The AWS case studies comprehensively explain how companies or organizations have used Amazon Web Services (AWS) to solve problems, boost productivity, and accomplish objectives.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

JULY 31, 2023

Among the leading platforms for cloud computing is Amazon Web Services (AWS), which has transformed organizations and IT professionals worldwide. Amazon Elastic Block Store (EBS): EBS deals with block-level storage facilities used along with Amazon EC2 and can greatly benefit AWS operations.

AWS 52

AWS Amazon Web Services Consulting Cloud Computing 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Edureka

JULY 4, 2024

Amazon EMR is the right solution for it. It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Frustrated due to that cumbersome big data? Overwhelmed with log files and sensor data?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started! Launched in 2006.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Rockset

DECEMBER 31, 2022

DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. This is not possible in the case of DynamoDB since it’s a non-relational database that works better with NoSQL formatted data tables.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

ProjectPro

APRIL 8, 2015

” Image Credit: alliedmarketresearch.com Allied Market Research predicts that the “Hadoop-as-a-Service” market will grow to $50.2 Amazon Web Services EMR is among one of the top commercial Hadoop distributions with the highest market share leading the global market. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services AWS Data Science 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services AWS Data Science 52