phData: Data Engineering

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Knowledge Hut

FEBRUARY 2, 2024

Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space. And what better solution than cloud storage? Skills Required: Technical skills such as HTML and computer basics.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

U-Next

NOVEMBER 24, 2022

Everyone must have heard about AWS Cloud Computing directly or indirectly. Amazon Web Services (AWS) is Amazon’s comprehensive Cloud Computing marketplace. Additionally, video game developers distribute online games to millions of players worldwide via the cloud. Introduction . What Is AWS? .

Cloud Computing 40

Cloud Computing AWS Amazon Web Services Cloud 40

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

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Data Engineering Data Engineer NoSQL Engineering 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.

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Data Ingestion Google Cloud Kafka 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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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!

AWS 52

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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.,

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

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.”

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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?

Cloud 52

Cloud Engineering Cloud Computing 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? What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

APRIL 25, 2023

It is widely used by data engineers for building scalable and reliable data processing systems. Hadoop provides tools for data storage, processing, and analysis, including Hadoop Distributed File System (HDFS) and MapReduce. It can add more processing power and storage as the data grows.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

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

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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Data Engineering Data Engineer Coding Project 98

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.

Cloud 40

Cloud Engineering Cloud Computing Amazon Web Services 40

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

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? Add Your Heading Text Here REMOVE @my_internal_stage PATTERN='.*.csv.gz';

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

JULY 15, 2021

It is recommended to use SQL database for data storage as it comes with built-in security tools and features. You can use the Azure cloud server to activate the entire process. You can use PHP as the programming language to develop the front-end and MySQL for data storage.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 What are the main components of a big data architecture?

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

SEPTEMBER 22, 2022

Similarly, cloud computing servers utilize back-end resources. A large part of this component is dedicated to servers, virtualization, security scenarios, data storage, and many other things. – Infrastructure-as-a-Service (IaaS): This type of service is also known as cloud infrastructure services.

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Cloud Computing Architecture Cloud IT 40