Knowledge Hut

FEBRUARY 7, 2023

All of these topics are interconnected and can give you a solid foundation when you begin learning about and using cloud computing platforms. However, we'll limit our attention in this post to infrastructure-as-a-service (IaaS) cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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Ascend.io

NOVEMBER 14, 2024

This elasticity allows data pipelines to scale up or down as needed, optimizing resource utilization and cost efficiency. Tips for Choosing & Using Cloud-Native Solutions: Adopt a Cloud Service Provider (CSP): Choose a CSP like Amazon Web Services, Microsoft Azure, or Google Cloud that provides elastic, scalable resources.

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ProjectPro

SEPTEMBER 6, 2021

So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? The Google trends graph above shows how the two technologies have increased over the years, with AWS maintaining a significant margin over GCP. But not long after Google launched GCP in 2008, it began gaining market traction.

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AWS Amazon Web Services Google Cloud Cloud Storage 52

Monte Carlo

FEBRUARY 20, 2024

Let’s explore what to consider when thinking about data ingestion tools and explore the leading tools in the field. While its focus on batch processing suits most data warehousing needs, businesses requiring extensive real-time streaming capabilities might need to complement it with other tools.

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Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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Knowledge Hut

MARCH 20, 2024

They are responsible for establishing and managing data pipelines that make it easier to gather, process, and store large volumes of structured and unstructured data. Assembles, processes, and stores data via data pipelines that are created and maintained.

Software Engineering 52

Software Engineering Software Engineer Engineering Java 52

Monte Carlo

JUNE 2, 2024

Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial. Machine learning and AI are also increasingly incorporated for predictive maintenance and optimization, using models for data quality and anomaly detection.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial. Machine learning and AI are also increasingly incorporated for predictive maintenance and optimization, using models for data quality and anomaly detection.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Knowledge Hut

DECEMBER 4, 2023

A cloud provider leases infrastructure and technology to other businesses or individual people for computing, networking or storage purposes. The top 3 major providers as of this date are Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), with AWS leading the market.

Cloud Computing 52

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Knowledge Hut

JANUARY 29, 2024

Cloud Computing Cloud Computing is a method of hosting a network of remote servers on the Internet. The term cloud is referred to as a metaphor for the internet. These servers are primarily responsible for data storage, management, and processing.

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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. The external stage area includes Microsoft Azure Blob storage, Amazon AWS S3, and Google Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Knowledge Hut

NOVEMBER 17, 2023

The global market for cloud services is expected to reach $623 billion by 2023, up from $272 billion in 2018. This rapid growth is being driven by a number of factors, including the increasing adoption of cloud-based applications, the growing need for data storage and processing, and the rise of IoT devices.

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U-Next

SEPTEMBER 22, 2022

Multi-cloud architectures bring together services from several cloud providers to create a valuable combination of business benefits, including spurring innovation, enabling access to hardware that is not available on-premises and scaling compute and data storage as the business grows and expands.

Architecture 52

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Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.”

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Knowledge Hut

MAY 8, 2023

Cloud computing platforms have become increasingly popular as businesses worldwide have stopped employing onsite data centers and server rooms. Around two-thirds of large firms are shifting business apps and data storage to Cloud services. What Makes a Good Cloud Engineer?

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Cloud Engineering Cloud Computing Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

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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? What is Edge computing?

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Knowledge Hut

MARCH 11, 2024

Companies across domains have switched their operations to the cloud for multiple reasons. It offers them more data storage space and easy operations across networks, and the list is never-ending. Hence, every company working in a cloud environment hires a cloud security engineer.

Cloud 52

Cloud Engineering Computer Science Amazon Web Services 52

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform.

AWS 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

Knowledge Hut

OCTOBER 3, 2023

AAG estimates that Microsoft Azure will have a market share of 23% in Q4 2022, making it the second-largest cloud service globally by 2023, generate three times as much income as Google Cloud Platform (GCP), and be fast catching up to its major competitor, Amazon Web Service (AWS).

Amazon Web Services 52

Amazon Web Services Cloud Computing Certification Education 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. Best suited for those looking for Platform-as-a-service (PaaS) provider.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 16, 2023

Cloud computing, along with data science has been the buzzword for quite some time now. Companies have moved towards cloud architecture for their data storage and computing needs. There are some renowned cloud players like Amazon Web Services, Google Cloud, IBM Watson, etc.,

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Data Science Technology Cloud Computing Programming Language 52

Knowledge Hut

JULY 3, 2023

The infrastructure for real-time data ingestion typically consists of several key features: Data Sources: These are the Systems, devices, and applications which create vast amounts of data in real-time. Like IoT devices, sensors, social media platforms, financial data, etc.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Master data processing methods.

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ProjectPro

JANUARY 31, 2022

Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface. Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? This is frequently referred to as a 5 or 7 layer (depending on who you ask) data stack like in the image below.

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Knowledge Hut

APRIL 12, 2023

Gather and Store Metrics: Azure enables the collection and storage of metrics, which can assist in identifying efficient strategies. 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.

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. Hence, they cover almost everything in the field, making it a vital cloud engineering skill.

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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.

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U-Next

JULY 2, 2022

Many types of computer services are included in this category, such as computer programs, data stores and applications. In addition to the cloud computing services you might be familiar with or have used in the past, there are some examples of social media platforms, such as Facebook, Twitter, or Dropbox.

Cloud Computing 52

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ProjectPro

AUGUST 18, 2021

Tableau allows us to connect and pull data from various platforms. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. Tableau Server Interview Questions 14. Mention all the primary components of the Tableau Server.

BI 40

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Knowledge Hut

NOVEMBER 29, 2023

Cloud computing can also help businesses improve their disaster recovery plans. Management and Negotiation Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. However, many factors can affect this number.

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ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. Snowflake Real-Time Data Warehouse Project for Beginners Snowflake provides a cloud-based analytics and data storage service called "data warehouse-as-a-service."

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Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Below, we share what the “basic” data platform looks like and list some hot tools in each space (you’re likely using several of them): The modern data platform is composed of five critical foundation layers. Data Storage and Processing The first layer?

Building 52

Building BI Data Lake Data Governance 52

phData: Data Engineering

JULY 18, 2023

Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data. This noticeably saves time on copying and drastically reduces data storage costs. Snowflake allows its users to interface with the software without worrying about the infrastructure it runs or how to install it.

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Data Warehouse Pipeline-centric Government Data 52