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?

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phData: Data Engineering

FEBRUARY 21, 2025

The Cloud represents an iteration beyond the on-prem data warehouse, where computing resources are delivered over the Internet and are managed by a third-party provider. Examples include: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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Knowledge Hut

MARCH 22, 2024

Did you know that Amazon Web Services (AWS) has a 33% market share in cloud computing? With this leadership status in the domain, the job roles associated with AWS have also gained traction. AWS solutions architect career opportunities have grown multiplefold. Businesses in every sector realize cloud adoption.

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Knowledge Hut

NOVEMBER 7, 2023

A virtual desktop infrastructure or (VDI) service for school management is offered by AWS Cloud by Amazon for Primary Education and K12. Teachers and students can access educational software on a range of devices thanks to the cloud. Google argues that its services are less expensive and more cost-effective than competitors.

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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. Table of Content What is AWS Redshift?

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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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Knowledge Hut

APRIL 26, 2024

It is one of the safest platforms for cloud service. It offers cloud-based toolsets that are unique and stands out from the other providers in the industry. AWS provides more than 200 fully featured services which include storage, database, and computing. Who is the Biggest Cloud Service Provider?

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Monte Carlo

SEPTEMBER 25, 2024

A data lake is essentially a vast digital dumping ground where companies toss all their raw data, structured or not. A modern data stack can be built on top of this data storage and processing layer, or a data lakehouse or data warehouse, to store data and process it before it is later transformed and sent off for analysis.

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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.

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Knowledge Hut

JANUARY 23, 2024

Additionally, I've explored various Cloud Computing Certification courses that can assist you in becoming an expert in this transformative technology. What i s Cloud Computing? On-demand distribution of computing services, such as applications, data storage, and data processing, through the internet is known as cloud computing.

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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. However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture.

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ProjectPro

OCTOBER 6, 2021

Flexera’s State of Cloud report highlighted that 41% of the survey respondents showed the most interest in using Google Cloud Platform for their future cloud computing projects. Google Cloud Platform is an online vendor of multiple cloud services which can be used publicly.

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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.

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Monte Carlo

JUNE 20, 2024

It consisted of three core components: Data connection: the connectivity to resources like Redshift, Snowflake, BigQuery, Databricks and many more (e.g., Data storage: any record-level or troubleshooting data (e.g., for data sampling) Data processing: the extraction and transformation collection engine (e.g.,

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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. Amazon Kinesis Amazon Kinesis is a platform within Amazon Web Services (AWS) designed to collect, process, and analyze real-time, streaming data. Google Cloud Dataflow Image courtesy of Google Cloud.

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Knowledge Hut

DECEMBER 4, 2023

You host your own platform, similar to YouTube, using a provider like AWS, Azure, or GCP and their streaming service. Infrastructure as a Service (IaaS) – Cloud vendor provides infrastructure and resources, and applications are managed by the user. Below are the services provided by these cloud providers.

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Knowledge Hut

DECEMBER 22, 2023

Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing. Cloud Computing Every day, data scientists examine and evaluate vast amounts of data. How to Become a Data Scientist in 2024? degrees.

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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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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.

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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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Cloud Academy

JANUARY 27, 2022

Learn about the AWS-managed Kafka offering in this course to see how it can be more quickly deployed. Apache Spark Apache Spark In this lecture, you’ll learn about Spark – an open-source analytics engine for data processing. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets.

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ProjectPro

FEBRUARY 21, 2023

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. This section mainly focuses on the three most valuable and popular vendor-specific data engineering certifications- AWS, Azure , and GCP. Cloudera or Databricks?

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Monte Carlo

FEBRUARY 25, 2025

Its essential for fraud detection, live analytics dashboards, IoT data, and recommendation engines (think Netflix or Spotify adjusting recommendations instantly). Popular tools include Apache Kafka , Apache Flink , and AWS Kinesis. Now that you know how your data moves, the next question is: Where should it live?

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ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? 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?

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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.)

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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.

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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.

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Hevo

JUNE 7, 2024

It decouples storage and computes, thereby allowing you to pay separately for the two. It provides you with the flexibility of choosing the region and also the resource provider (AWS, Azure, or Google Cloud). Like most other data warehouses, it stores data in […]

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Confluent

SEPTEMBER 20, 2019

Confluent Cloud addresses elasticity with a pricing model that is usage based, in which the user pays only for the data that is actually streamed. If there is no traffic in any of the created clusters, then there are no charges (excluding data storage costs). Confluent Cloud delivers this beautifully.

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Knowledge Hut

OCTOBER 12, 2023

Fundamentals of Data Storage Another skill through the cloud architect road map is a basic understanding of data storage. In AWS, where there are several data storage alternatives, you must be able to choose when to employ each.

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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.

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ProjectPro

JANUARY 24, 2023

These benefits compel businesses to adopt cloud data warehousing and take their success to the next level. Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. What is Google BigQuery Used for?

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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. Who is a Cloud Engineer? What Makes a Good Cloud Engineer?

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Knowledge Hut

MAY 22, 2024

Putting Availability into Practice Engaging a backup system and a BCDR plan is important for maintaining data availability. Employing cloud solutions like AWS, Azure, or Google Cloud for data storage services is one of the methods by which an organization can enhance the availability of data for its consumers.

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Knowledge Hut

MAY 31, 2023

You’ll also learn about privacy regulations like GDPR (General Data Protection Regulation) and HIPPA (Health Insurance Portability and Accountability Act) that lay down the rules for data privacy and security. Programming Languages Cloud application development and cloud DevOps have emerged as specialities in application development.

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ProjectPro

JANUARY 31, 2022

Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

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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? E.g. AWS Cloud Connect.

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