Cloud Academy

MAY 2, 2018

A 2017 IDC White Paper “recommend[s] that organizations that want to get the most out of cloud should train a wide range of stakeholders on cloud fundamentals and provide deep training to key technical teams ” (emphasis ours). Regular readers of the Cloud Academy blog know we’ve been talking about this for a long time.

Google Cloud 52

Google Cloud Machine Learning Big Data AWS 52

Zalando Engineering

NOVEMBER 29, 2017

Running Kafka Streams applications in AWS At Zalando, Europe’s leading online fashion platform, we use Apache Kafka for a wide variety of use cases. In this blog post, we share our experiences and lessons learned to run our real-time applications built with Kafka’s Streams API in production on Amazon Web Services (AWS).

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

ProjectPro

JANUARY 19, 2022

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? Experience with using cloud services providing platforms like AWS/GCP/Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JANUARY 11, 2024

Are you planning to appear for the AWS Cloud Practitioner Certification in 2023? Here is a complete and comprehensive guide of all the things you can expect from the AWS exams and how to best prepare for them! What is A mazon Web Service? Amazon Web Services (AWS) is the global leader in cloud computing.

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Knowledge Hut

FEBRUARY 7, 2023

The most recent report shows that just 10% of businesses used DevOps in 2017, but this percentage increased to 17% in 2018. Amazon Web Services skills can fetch you an average salary of around $139,781 every year. In the last few years, DevOps has been one of the famous buzzwords in the IT world.

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Management Entertainment Amazon Web Services Education 52

Knowledge Hut

MARCH 19, 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

ProjectPro

APRIL 8, 2015

” Image Credit: alliedmarketresearch.com Allied Market Research predicts that the “Hadoop-as-a-Service” market will grow to $50.2 AWS Elastic MapReduce renders an easy to use and well organized data analytics platform built on the powerful HDFS architecture. billion by 2020. Image Credit: randomramblings.postach.io

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Knowledge Hut

DECEMBER 26, 2023

The top companies that hire data engineers are as follows: Amazon It is the largest e-commerce company in the US founded by Jeff Bezos in 1944 and is hailed as a cloud computing business giant. The average salary of a Data Engineer in Amazon is $109,000. Data Engineers use the AWS platform to design the flow of data.

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ProjectPro

JUNE 26, 2021

In 2017, Apple Inc. Here’s how to proceed with this project- Use Python and Keras Functional API along with Amazon Web Services (AWS) for this exciting project. Computer Vision Project Idea-3 Face Recognition This is another computer vision project that deals with human faces.

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Knowledge Hut

MAY 3, 2024

AWS (Amazon Web Services) defines “Streaming Data” as data that is generated continuously by thousands of data sources, which typically send in the data records simultaneously, and in small sizes (order of Kilobytes). As of 2017, we offer access to approximately 1.8 What is Stream Processing?

Kafka 98

Kafka Scala Java Amazon Web Services 98

ProjectPro

JANUARY 24, 2023

There are numerous capabilities of Amazon SageMaker that any developer or data scientist can leverage. Some of the following are: Fully managed: SageMaker is a fully-managed service, which means it’s AWS 's responsibility to set up or maintain the underlying infrastructure. It provides Processing Jobs to prepare the data.

Building 52

Building Algorithm Machine Learning AWS 52

Monte Carlo

JUNE 14, 2023

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Some examples include AWS ( Aurora to Redshift ), GCP ( BigTable to BigQuery ) and Snowflake ( Unistore ).

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phData: Data Engineering

JANUARY 3, 2022

For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems. This could mean setting up IAM rules in AWS or Microsoft Azure to ensure that certain roles are only able to read data from various sources and systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52