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. Luke: Let’s talk about some of the fundamentals of modern data architecture.

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81

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. data best served through Apache Solr). data best served through Apache Solr). What does DDE entail? Prerequisites.

Cloud Storage 68

Cloud Storage Unstructured Data AWS Analytics Application 68

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. Design Detail.

Data Warehouse 70

Data Warehouse Cloud Kafka Cloud Storage 70

ProjectPro

SEPTEMBER 6, 2021

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Precisely

MARCH 10, 2023

This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade. That effort led to a dramatic shift toward the cloud. You need access to high-quality, accurate, and complete data.

Datasets 57

Datasets Data Warehouse Big Data Cloud Storage 57

Towards Data Science

APRIL 26, 2023

Whether you work in BI, Data Science or ML all that matters is the final application and how fast you can see it working end-to-end. Imagine, as a practical example, that we need to build a new customer-facing analytics application for our product team. The infrastructure often gets in the way though.

Engineering 67

Engineering Data Lake AWS BI 67

Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98