Knowledge Hut

MARCH 19, 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies. What are AWS Case Studies, and Why are They Important?

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AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

NOVEMBER 16, 2023

Modern businesses no longer have to worry as much about creating and maintaining data centers, thanks to cloud computing. AWS is still regarded as the innovator in the large-scale, reasonably priced cloud infrastructure and services provision. AWS Cheat Sheet Let's check what the AWS cloud cheat sheet is.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing?

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Cloud Computing Cloud Amazon Web Services AWS 40

Edureka

FEBRUARY 8, 2024

Introduction to AWS Instances Selecting the right AWS instance type is a critical decision that can significantly influence the success of your cloud-based applications and infrastructure. Enroll for the AWS Training today to learn more about its instances in detail.

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AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

OCTOBER 8, 2023

AWS is a popular platform that revolves around cloud management and extensive knowledge of application deployment. For IT professionals who want to excel in cloud architecture, system administration, DevOps, and other related fields, starting with AWS is an excellent option. What is the AWS Certification Exam?

AWS 52

AWS Certification Cloud Computing Architecture 52

Edureka

JULY 4, 2024

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. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

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AWS Amazon Web Services Google Cloud Cloud Storage 52

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 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

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Amazon Web Services AWS IT Transportation 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. Azure or AWS - Which is better?

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Edureka

SEPTEMBER 3, 2024

Indeed, one of the solutions that has evolved into a best practice for organizations actively seeking a way to update the organization’s data architecture is the AWS Database Migration Service, or AWS DMS abbreviation. If you are looking to deepen your knowledge, consider enrolling in our comprehensive AWS Course.

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AWS Database MySQL PostgreSQL 40

U-Next

AUGUST 17, 2022

Such innovations include open-source initiatives, Cloud Computing, and huge data expansion. 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.

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Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Pathway 2: How to Become a Certified Data Engineer?

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Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

AUGUST 9, 2018

Land your dream job with these AWS interview questions and answers suitable for multiple AWS Cloud computing roles starting from beginner to advanced levels. “I would like to become an AWS Solution Architect. Differentiate between on-demand instances and spot instances.

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AWS Amazon Web Services Cloud Computing Database 40

Knowledge Hut

MARCH 26, 2024

Cloud Computing Adoption: As organizations migrate their infrastructure to the cloud, there's a high demand for Solutions Architects who can design cloud-native solutions and optimize cloud resources. Check out the AWS Solution Architect Associate certification cost before applying.

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Amazon Web Services Google Cloud Computer Science AWS 52

Confluent

SEPTEMBER 20, 2019

Imagine that a developer needs to send records from a topic to an S3 bucket in AWS. Implementation effort to send records from a topic to an AWS S3 bucket. Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. No cloud provider lock-in.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

MARCH 4, 2019

But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems.

Cloud 89

Cloud Banking Kafka NoSQL 89

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Experience with using cloud services providing platforms like AWS/GCP/Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Edureka

OCTOBER 15, 2024

AWS has come up with a cloud-native database service known as Amazon Aurora. For those new to AWS, exploring AWS Training may help. For those new to AWS, exploring AWS Training may help. It can deepen your understanding of AWS services. It is used by AWS and built for high performance.

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PostgreSQL MySQL AWS Relational Database 52

Knowledge Hut

MARCH 20, 2024

To ensure that the data is reliable, consistent, and easily accessible, data engineers work with various data storage platforms, such as relational databases, NoSQL databases, and data warehouses. Cloud Architect An expert in cloud computing technology, a cloud architect is in charge of planning and implementing cloud-based solutions.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

SEPTEMBER 25, 2023

Microsoft Azure is a cloud computing platform that gives businesses fantastic services. Every year, Azure's consumption graph increases and approaches that of AWS. To start a successful career in cloud computing, you must have a solid conceptual foundation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 5, 2023

Interactive Learning Platforms: Utilize interactive platforms like Codecademy for programming, Cisco's Networking Academy for networking, or AWS Training for cloud computing. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be advantageous.

Systems 52

Systems Engineering Recruitment Electronics 52

Knowledge Hut

JUNE 16, 2023

The most popular databases for which data analysts need to be proficient are SQL and NoSQL databases. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial.

Programming Language 52

Programming Language Data Science Data Analytics Cloud Computing 52

ProjectPro

DECEMBER 10, 2021

What makes Azure better than AWS? What do you understand about cloud computing? Can you tell something about Azure Cloud Service? What are the various models available for cloud deployment? Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role!

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BI Cloud Computing SQL Database 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. NoSQL, for example, may not be appropriate for message queues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

DECEMBER 26, 2023

Technologies like Hadoop, Spark, and NoSQL Big Data structures Data Lake A Big Data Analyst makes an average yearly pay of US$111,793 in the United States, whereas a Data Scientist makes an average yearly compensation of US$96,494. The potential of cloud computing in the IT sector is enormous, as are the job opportunities after BCom.

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Banking Insurance Finance Cloud Computing 52

Cloud Academy

JANUARY 27, 2022

Some basic real-world examples are: Relational, SQL database: e.g. Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

JANUARY 22, 2024

Cloud Computing Cloud computing courses focus on deploying and managing big data platforms like Hadoop, Spark, Kafka etc on cloud infrastructure. Students learn skills to build data pipelines, query data lakes and develop cloud-native applications using services from AWS, Azure and Google Cloud.

Data Science 52

Data Science Certification Education Programming 52

Knowledge Hut

NOVEMBER 28, 2023

This can be easier when you are using existing cloud services. The trend is to participate in multi-cloud over cloud technology and have a good understanding of the underlying technologies that make up cloud computing. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 6, 2023

Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. It will cover topics like Data Warehousing,Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security,AWS and more. Communication Skills - Having good communication skills is advantageous in whatever role you pursue.

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Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

MARCH 27, 2024

Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JULY 12, 2021

A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. Data engineers should also possess practical knowledge using diverse cloud platforms like AWS, Azure or GCP. These individuals make the connection between data and software.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

NOVEMBER 14, 2015

With Big Data came a need for programming languages and platforms that could provide fast computing and processing capabilities. Tools/Tech stack used: The tools and technologies used for such weblog trend analysis using Apache Hadoop are NoSql, MapReduce, and Hive. It is also very easy to test and troubleshoot with Spark at each step.

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Hadoop Project Big Data Healthcare 52

ProjectPro

JANUARY 19, 2022

Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. AWS Certified Data Analytics - Specialty exam (DAS-C01) Introduction : AWS Certified Data Analytics – Specialty is for experienced individuals.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

JUNE 17, 2016

Highlight the Big Data Analytics Tools and Technologies You Know The world of analytics and data science is purely skills-based and there are ample skills and technologies like Hadoop, Spark, NoSQL, Python, R, Tableau, etc. that you need to learn to pursue a lucrative career in the industry.

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Hadoop Recruitment Big Data NoSQL 40