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

AWS (Amazon Web Services) is the leading global cloud platform, offering over 200 fully featured services from data centers worldwide. You'll also learn Docker, MongoDB integration, and container orchestration to deploy a scalable, end-to-end data pipeline. Github link- Hybrid Recommendation System 29.

AWS 60

AWS Project Food Cloud Computing 60

ProjectPro

JUNE 6, 2025

MongoDB stores the processed and aggregated results. 29) GCP Project to Explore Cloud Functions The market's three popular cloud service providers are Amazon Web Services, Microsoft Azure , and GCP. These results are then visualized in interactive dashboards using Python's Plotly and Dash libraries.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

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. AWS Glue AWS Glue is a fully-managed ETL service provided by Amazon Web Services, optimized for cloud-based data integration.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure , Cloudera, etc., provide cloud services for deploying data models. MongoDB , PostgreSQL) database management. Big data is primarily stored in the cloud for easier access and manipulation to query and analyze data.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. With three categories of cloud, namely, Private Cloud - Cloud services operated either internally or externally by a third party solely developed and used by a single organization.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Knowledge Hut

JANUARY 2, 2024

However, finding the perfect book might be difficult, therefore I have put together a list of the best books which can help you in your path to become an AWS Solutions Architect Associate.You can discover Amazon Web Services in a way that works best for you with the help of the suitable certified solutions architect book.

AWS 52

AWS Amazon Web Services Certification Architecture 52

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). Additionally, students learn about service and deployment models, SLAs, economic models, cloud security, enabling technologies, popular cloud stacks, and their use cases.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

AltexSoft

MAY 14, 2021

Below are a few examples of such databases: MongoDB is a source-available NoSQL type database that makes use of JSON-based documents consisting of key-value pairs. Unlike relational databases with pre-defined schema, MongoDB has a flexible schema and can store any kind and volume of data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JULY 26, 2023

MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents. Database Software- Document Store (e.g.-MongoDB):

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

NOVEMBER 16, 2023

Amazon Web Services in Action Written by Andreas Wittig and Michael Wittig, this book will provide an introduction to storing, computing and networking in the AWS cloud. You will be learning about the best services and practices regarding high availability, scalability, and security.

AWS 52

AWS Amazon Web Services Certification Cloud Computing 52

DareData

JANUARY 30, 2023

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). Azure Data Factory: A cloud-based data integration service offered by Microsoft.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

Knowledge Hut

DECEMBER 22, 2023

Some popular choices include MySQL, MongoDB, Oracle Database, and SQLite. Hosting platforms allow users to access your developed website or application from the World Wide Web. Some popular servers you need to learn the usage of are Heroku, Google cloud platform, Amazon web services, and Microsoft Azure.

Recruitment 98

Recruitment Portfolio Programming Language Java 98

U-Next

SEPTEMBER 7, 2022

Amazon Web Services S3 . Atlas Data Lake powered by MongoDB. . For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google . Data lakes can also be organized and queried using other technologies, such as .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 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

Knowledge Hut

APRIL 25, 2023

MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications. Amazon Web Services (AWS) offers a wide range of data engineering tools that can be used to efficiently process and analyze large volumes of data.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Edureka

AUGUST 23, 2024

Types of Services Offered by Amazon Kinesis Features of Amazon Kinesis Use Cases of Amazon Kinesis Conclusion FAQs What is Amazon Kinesis? Kinesis Data Firehose If your applications need real-time data, the Kinesis Data Firehouse service delivers streaming data directly to Amazon S3, Amazon ES, and Amazon Redshift.

AWS 52

AWS Kafka Amazon Web Services Data Ingestion 52

ProjectPro

JANUARY 19, 2022

Cloud Services Providers Platforms As companies are gradually becoming more inclined towards investing in cloud computing for storing their data instead of bulky hardware systems, engineers who can work on cloud computing tools are in demand. Microsoft Azure Amazon Web Services Google Cloud Platform Offers integration with Microsoft Windows.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

JULY 30, 2021

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 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

DECEMBER 23, 2023

Web Servers and API : They should have adequate exposure to Apache, Nginx, Linux, and Microsoft's Internet Information Server (IIS). Databases : They should be efficient at handling data from databases like MySQL, MongoDB, Redis, Oracle and SQLServer. Therefore, a developer also needs to be knowledgeable about web hosting.

Programming Language 52

Programming Language Java MongoDB MySQL 52

Knowledge Hut

JUNE 20, 2023

Apache Spark, Microsoft Azure, Amazon Web services, etc. You should be skilled in SQL and knowledgeable about NoSQL databases like Cassandra, MongoDB, and HBase. Data Integration: Your ability to combine data from many sources, including file systems, online services, and APIs, is essential.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

DECEMBER 5, 2023

Here are some essential hard skills for System Engineers: Proficiency in various operating systems, including Microsoft Windows Server, Linux distributions (e.g., CentOS, Ubuntu, Red Hat), Unix-based systems (e.g., SAN, NAS), Network equipment (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

Knowledge Hut

DECEMBER 27, 2023

This is one of the most popular big data tools used by most Fortune 50 companies, including Amazon Web services, Hortonworks, IBM, Intel, Microsoft and Facebook among others. MongoDB Free and open-source tool supporting multiple operating systems, including Windows Vista (and later versions), OS X (10.7

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Edureka

FEBRUARY 8, 2024

Introduction to AWS Instance Types Amazon Web Services (AWS) offers a diverse range of instance types, each tailored to specific computing needs and optimized for various workloads. Check out AWS Tutorial for beginners to learn more about AWS Instance Types. Section 1- Understanding AWS Instance Types 1.1

AWS 52

AWS NoSQL Deep Learning Machine Learning 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on AWS Amazon Web Services (AWS) provides a dizzying array of cloud services, from the well-known Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform as a service (PaaS) offering covering almost every aspect of modern computing.

Data Science 52

Data Science Google Cloud Programming Language Machine Learning 52

ProjectPro

AUGUST 24, 2021

MongoDB stores the processed and aggregated results. Source Code: Live Twitter Sentiment Analysis with Spark 15) Website Monitoring Website Monitoring is used to describe any activity which involves testing a website or any web service for its availability, performance, or function. Collection happens in the Kafka topic.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JUNE 6, 2025

Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud. Extracting data from APIs using Python.

Hadoop 40

Hadoop Project Big Data Media 40