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.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

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 71

Cloud Storage Unstructured Data AWS Analytics Application 71

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. General architecture of our system.

Engineering 96

Engineering Data Lake AWS BI 96

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 72

Data Warehouse Cloud Kafka Cloud Storage 72

AltexSoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Kafka architecture. Kafka cluster architecture. A single cluster can span across multiple data centers and cloud facilities.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Knowledge Hut

JUNE 26, 2023

A complete end-to-end stream processing pipeline is shown here using an architectural diagram. This project's architecture is essentially composed on five layers: the Data Ingestion layer, the Message broker layer, the Stream processing layer, the Serving database layer, and the Visualisation layer.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice. The first, bulk loading, loads data from files in cloud storage or a local machine.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40