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 82

Data Lake Analytics Application Cloud Storage Architecture 82

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

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

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

Rockset

AUGUST 4, 2021

Without performant data ingestion, you run the risk of querying outdated values and returning irrelevant analytics. The first, bulk loading, loads data from files in cloud storage or a local machine. Then it stages them into a Snowflake cloud storage location. Snowflake provides a couple of ways to load data.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

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. There was a massive expansion of efforts to design and deploy big data technologies.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

Rockset

MARCH 15, 2021

This will avoid unnecessary processing during data ingestion and reduce the storage bloat due to redundant data. The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40