Knowledge Hut

SEPTEMBER 28, 2023

It involves crafting and cultivating cloud environments, adeptly managing and optimizing these systems, discerning the precise functionality required, guiding seamless cloud migration efforts, and confidently navigating high-stakes scenarios, among other skills. Top AWS Solutions Architect Skills 1. You'll want to limit who is able to perform what.

AWS 52

AWS Cloud Computing Architecture Utilities 52

Knowledge Hut

DECEMBER 25, 2023

Also, don't forget to check out the 5 reasons to  become a Full Stack Developer  article while we're talking about FSD learning path. What to learn & where to learn There are a lot of technologies to learn to be a Full-Stack developer. So, we need to learn the basics followed by at least one framework.

Java 98

Java Database PostgreSQL Project 98

Zalando Engineering

JUNE 30, 2020

You will learn: Which static site generator we selected and why. How we serve static HTML using Skipper and S3. We want to avoid introducing many unnecessary tags and different tags for the same concept, e.g. We want to avoid introducing many unnecessary tags and different tags for the same concept, e.g. "Postgres" vs. "PostgreSQL".

Engineering 40

Engineering Bytes AWS Python 40

Silectis

JANUARY 3, 2021

Advanced analytics can be performed by employing sophisticated tools and techniques, including machine learning (ML) and artificial intelligence (AI), data/text mining, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, and more. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Dataquest

OCTOBER 16, 2019

Exciting news: we just launched a totally revamped Data Engineering path that offers from-scratch training for anyone who wants to become a data engineer or learn some data engineering skills. But it begs the question: why learn data engineering in the first place? Why Learn Data Engineering? Looks cool, right?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Knowledge Hut

SEPTEMBER 29, 2023

AWS, or Amazon Web Services, need no formal introduction given its enormous popularity. The most popular cloud technology is Amazon Web Services. An "AWS mind map" is a visual representation or diagram that organizes and depicts the core ideas, services, and components of Amazon Web Services (AWS). What is an AWS Mindmap?

AWS 52

AWS Amazon Web Services Cloud Storage Relational Database 52

Knowledge Hut

NOVEMBER 16, 2023

Amazon Web Services is a cloud platform with more than 165 fully-featured services. Amazon Redshift does the same for big data analytics and data warehousing. But what exactly is Amazon Redshift? To learn more, check out Cloud Computing Security course. Along with AWS and EC2, Amazon Redshift involves deploying a cluster.

IT 52

IT Bytes AWS Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! billion by 2026?

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AWS Scala Metadata Data Lake 98

DoorDash Engineering

MARCH 7, 2023

While most engineering tooling at DoorDash is focused on making safe incremental improvements to existing systems, in part by testing in production (learn more about our end-to-end testing strategy ), this is not always the best approach when launching an entirely new business line. Often we’re going from zero to one.

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AWS PostgreSQL Database SQL 119

Data Engineering Podcast

MAY 13, 2021

If you want to build a warehouse that gives you both control and flexibility then you might consider building on top of the venerable PostgreSQL project. How would you categorize the different systems and what is PostgreSQL’s position in that ecosystem? Firebolt is the fastest cloud data warehouse.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

JANUARY 28, 2022

Seesaw Learning Inc. provides a leading online student learning platform used by more than 10 million K-12 teachers, students and family members in the U.S. Of course, when COVID-19 hit in early 2020 and forced schools to abruptly switch to full-time remote learning, the need for Seesaw’s platform skyrocketed. every month.

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NoSQL PostgreSQL MongoDB ETL Tools 52

Knowledge Hut

JULY 24, 2023

Future developments in database technology promise to deliver unprecedented scalability, performance, and insights, from the emergence of distributed databases and cloud-based solutions to the incorporation of artificial intelligence and machine learning. In this blog, we will talk about the future of database management.

Database 52

Database NoSQL Management Relational Database 52

Monte Carlo

FEBRUARY 15, 2023

A data warehouse is an online analytical processing system that stores vast amounts of data collected within a company’s ecosystem and acts as a single source of truth to enable downstream data consumers to perform business intelligence tasks, machine learning modeling, and more. Cloud data warehouses solve these problems.

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Data Warehouse Unstructured Data AWS Business Intelligence 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. However, the reality is that this is not a technological decision.

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AWS Cloud Amazon Web Services Cloud Computing 45

Rockset

SEPTEMBER 13, 2022

A hybrid approach To handle our application needs, we'll be using Amazon DynamoDB with Rockset. The challenges Customer expectations and the corresponding demands on applications have never been higher. Users expect applications to be fast, reliable, and available. They want unfettered access to the freshest data available.

SQL 52

SQL Database Relational Database AWS 52

Zalando Engineering

SEPTEMBER 20, 2015

As part of our learning process, we recently designed and built Saiki : a scalable, cloud-based data integration infrastructure that makes data from our many microservices readily available for analytical teams. Enter Saiki, which manages all of this data integration and distribution with Amazon Web Services (AWS). No small challenge.

Data Integration 40

Data Integration PostgreSQL Amazon Web Services Kafka 40

ProjectPro

JULY 27, 2021

Also, you will find some interesting data engineer interview questions that have been asked in different companies (like Facebook, Amazon, Walmart, etc.) that leverage big data analytics and tools. Preparing for data engineer interviews makes even the bravest of us anxious. Why is Data Engineering In Demand?

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