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

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

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 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 Engineering 52

Data Engineering Data Engineer 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 Cloud Computing Consulting 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 MongoDB Telecommunication 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

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 Data Science AWS 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 Data Science AWS 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 Google Cloud Amazon Web Services Cloud Storage 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

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 NoSQL Amazon Web Services 52

Knowledge Hut

MARCH 19, 2024

AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases. Web applications, e-commerce platforms, and business-critical applications with the need for relational database capabilities are the common users of RDS.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

MARCH 26, 2024

Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Strong communication and stakeholder management skills. Proficiency in relevant technologies, frameworks, and architectural patterns. Experience with containerization technologies like Docker and Kubernetes.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

DECEMBER 26, 2023

Amazon - Amazon's cloud-based platform is well-known. Data warehouses that work with Amazon Web Services include the DynamoDB Big Data database, Redshift, and NoSQL. It also provides Big Data products, the most notable of which is Hadoop-based Elastic MapReduce.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

FEBRUARY 25, 2022

For storing data, use NoSQL databases as they are an excellent choice for keeping massive amounts of rapidly evolving organized/unorganized data. AWS (Amazon Web Services) is the cloud provider in this project. The data is split within each pipeline to take advantage of numerous servers or processors.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

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

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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 Engineering 52

Data Engineering Data Engineer 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

Knowledge Hut

NOVEMBER 28, 2023

NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

SEPTEMBER 26, 2021

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 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 8, 2023

In the cloud services and data engineering space, Amazon Web Services (AWS) is the leader, with a market share of 32%. You must be proficient in NoSQL and SQL for data engineers to help with database management. You need to know the data warehousing concepts to make your job easy.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Edureka

SEPTEMBER 3, 2024

What is AWS Database Migration Service? AWS Database Migration Service, or DMS, is 100% AC software that helps organizations move databases to the AWS cloud. It backs up and restores relational DBMS, NoSQL, data warehouses, and any other data repository types.

AWS 40

AWS Database MySQL PostgreSQL 40

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. They build and manage cloud-based apps by utilizing these providers' abilities.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

DECEMBER 13, 2023

Amazon Amazon is among the top big data companies of 2023. Amazon Web Services offers a wide range of Big Data products, with Hadoop-based Elastic MapReduce (EMR) being the main one. Microsoft It is considered among the best big data companies.

Big Data 52

Big Data Consulting Hadoop 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

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 Engineering Data Engineer 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

JULY 3, 2023

Like, in-memory databases, NoSQL databases, data lakes, or cloud-based storage, depending upon the requirements of the organization. Amazon Kinesis: Amazon Kinesis is a fully managed service offered by Amazon Web Services (AWS) for real-time streaming data ingestion and processing.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 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. This NoSQL, document-oriented database is written in C, C++, and JavaScript. Written in Java it provides cross-platform support.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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. An organization wants to deploy a two-tier web application on AWS. How will you design an Amazon Web Services cloud architecture for failure?

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

U-Next

OCTOBER 27, 2022

Accessing servers, storage, databases, and a wide range of application services via the internet is made simple by cloud computing. While you provide and use what you need via a web application, a cloud services platform like Amazon Web Services owns and maintains the network-connected hardware necessary for these application services. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

DECEMBER 10, 2021

It is a cloud-based NoSQL database that deals mainly with modern app development. Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema. It lets you store organized NoSQL data in the cloud and provides a schemaless key/attribute storage. What is Azure CosmosDB?

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

MARCH 16, 2015

Hadoop’s capability to store large unstructured data sets in NoSQL databases and using MapReduce to analyze this data helps in the analysis and detection of patterns in the field of Fraud Detection. The upswing for big data in healthcare industry is due to the falling cost of storage.

Healthcare 40

Healthcare Big Data Project Hospitality 40