Knowledge Hut

APRIL 12, 2023

Virtual Hard Drives: Azure offers virtual hard drives (VHDs) that offer a significant amount of data storage. VHDs are extensions of virtual machines used for storing large amounts of data. When you sign up for Azure, you can access all the services that are available on the Azure portal. How Does Microsoft Azure Work?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

U-Next

JULY 2, 2022

Introduction To Cloud Engineer Skills. The cloud computing model delivers computing resources on-demand – that is, through the Internet – such as data storage, compute power and data processing. PaaS is a method for deploying applications on the Cloud using a web-based service and a platform. .

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

Knowledge Hut

JANUARY 23, 2024

I magine how convenient it is to access all crucial data and files for your business on the go. Thanks to cloud computing technology, this becomes a reality. Curious about the importance of cloud computing for businesses ? Because of the freedom it offers, users now access a wealth of data.

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake?

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Knowledge Hut

MARCH 7, 2024

In the digital era, the demand for cloud computing has increased like never before. It has brought about significant transformations in how businesses store, access, and share information. Increased security, scalability, reduced costs, and better collaboration are a few benefits of cloud computing.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

Knowledge Hut

APRIL 26, 2024

In the digital era, the demand for cloud computing has increased like never before. It has brought about significant transformations in how businesses store, access, and share information. Increased security, scalability, reduced costs, and better collaboration are a few benefits of cloud computing.

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 52

Monte Carlo

FEBRUARY 20, 2024

Fivetran is the leader in the data ingestion space, known for its ease of use and extensive connector ecosystem. Integrations : They offer a wide array of connectors for databases, SaaS applications, cloud storage solutions, and more, covering both popular and niche data sources.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

DECEMBER 4, 2023

Service/Deployment Models – Cloud computing offers different service models like IaaS, PaaS and SaaS. Similarly, you can choose your cloud deployment model categorized as public, private, hybrid or community clouds. Depending on what you choose, you decide the accessibility, control and security.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Christophe Blefari

AUGUST 4, 2023

The modern data stack as a collection of tools which interacts altogether to serve data to consumers is still relevant. Personally I think that the modern data stack characterises by having a central data storage in which everything happens. I want something cloud agnostic—when possible.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

ProjectPro

JANUARY 24, 2023

Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources. BigQuery is a highly scalable data warehouse platform with a built-in query engine offered by Google Cloud Platform. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

NOVEMBER 17, 2023

In the digital age, cloud computing has become a necessary part of almost every industry. This technology enables businesses to store and access files from one centralized online server. Many of our readers have inquired about cloud computing jobs and how they can begin building this skill set in their own careers.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. What is Cloud Computing? AWS Cloud Connect.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JULY 24, 2023

In-memory Databases For applications that demand real-time data processing, in-memory databases are created. These databases use RAM-based data storage, which offers quicker access and response times than disk-based storage. These databases give users more freedom in how to organize and use data.

Database 52

Database NoSQL Management Relational Database 52

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. Today, companies have the opportunity to run Big Data analytics on Hadoop without investing in hardware.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. And that is one big reason it is the market leader and dominates other cloud technologies aggressively. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

MAY 12, 2023

Application Programming Interfaces ( APIs ) enable the interaction between different software applications and allow for seamless data extraction from various sources, such as social media platforms, news websites, and other online services. You can’t just keep it in SQL databases, unlike structured data. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Confluent

SEPTEMBER 20, 2019

Another characteristic of partially managed services is that they grant users access to the guts of the cluster. If you look at this Go program , the program connects to the cluster in Confluent Cloud using an API key and secret instead of a username and password.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

AUGUST 19, 2023

To make things a little easier, I’ve outlined the six must-have layers you need to include in your data platform and the order in which many of the best teams choose to implement them. The five must-have layers of a modern data platform Second to “how do I build my data platform?”, Image courtesy of Monte Carlo.

Building 52

Building BI Data Lake Data Governance 52