ProjectPro

JULY 30, 2021

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

NOVEMBER 16, 2023

Amazon Web Services is a cloud platform with more than 165 fully-featured services. Amazon Redshift does the same for big data analytics and data warehousing. It is 10x faster than Hadoop. Amazon uses a platform that works similarly to MySQL with tools like JDBC, PostgreSQL, and ODBC drivers.

IT 52

IT Bytes AWS Data Warehouse 52

Knowledge Hut

NOVEMBER 28, 2023

They typically have experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Full-stack Developer These developers have front-end and back-end development expertise and can work on all aspects of a web or mobile application.

Programming Language 52

Programming Language Amazon Web Services Computer Science Software Engineer 52

AltexSoft

AUGUST 29, 2023

Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage. Here are some of the major players in the field, each offering robust data lake services. Semi-structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures.

AWS 45

AWS Cloud Amazon Web Services Big Data 45

ProjectPro

AUGUST 24, 2021

Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. Utilize Amazon S3 for storing data, Hive for data preprocessing, and Zeppelin notebooks for displaying trends and analysis. Understand the importance of Qubole in powering up Hadoop and Notebooks. for building effective workflows.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

NOVEMBER 20, 2023

The suite deploys on-premises or as an Amazon Web Services (AWS) or Microsoft Azure cloud service. The data collected by these agents are stored in virtually any database that supports SQL queries (Oracle, MySQL). The stack is built on top of Apache Lucene and Apache Hadoop.

Amazon Web Services 52

Amazon Web Services Java Cloud AWS 52

U-Next

JULY 2, 2022

Amazon Web Services (AWS), Microsoft Azure, and IBM Cloud are the top players in the cloud computing market. When it comes to managing cloud databases, it is instrumental in knowing querying languages like MySQL and Hadoop from the perspective of cloud database management and cloud infrastructures. Conclusion.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

ProjectPro

AUGUST 9, 2018

Features Amazon RDS Redshift Dynamo DB Computing Resources Instances with 64 vCPU and 244 GB RAM Nodes with vCPU and 244 GB RAM Not specified, SaaS-Software as a Service. Which instance will you use for deploying a 4-node Hadoop cluster in AWS? How will you design an Amazon Web Services cloud architecture for failure?

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

JULY 15, 2021

Use the Hadoop ecosystem to implement the three-layer framework comprising of open-source components. You can use PHP as the programming language to develop the front-end and MySQL for data storage. Serverless Website on AWS The goal of the project is to develop a secure and usable serverless website using Amazon Web Services.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

Hadoop 40

Hadoop Big Data Coding Project 40