Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Cost-Effective.

Data Warehouse 67

Data Warehouse Cloud Kafka Cloud Storage 67

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. Ramsey International Modern Data Platform Architecture. What is a data mesh?

Data Lake 78

Data Lake Analytics Application Cloud Storage Architecture 78

Cloudera

SEPTEMBER 1, 2020

DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. The advantage with cloud is of course the transient allocation of resources. What does DDE entail?

Cloud Storage 66

Cloud Storage Unstructured Data AWS Analytics Application 66

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? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JULY 15, 2021

People searching for cloud computing jobs per million grew by approximately 50%. According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. The global cloud computing market is poised to grow $287.03 Table of Contents What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Towards Data Science

APRIL 26, 2023

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The cloud is better. The infrastructure often gets in the way though.

Engineering 71

Engineering Data Lake AWS BI 71

Knowledge Hut

JUNE 26, 2023

Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API. Source: Use Stack Overflow Data for Analytic Purposes 4. Source Code: Anomaly Detection in Cloud Servers 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98