Remove Analytics Application Remove Cloud Storage Remove Metadata
article thumbnail

Demystifying Modern Data Platforms

Cloudera

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.

article thumbnail

Discover and Explore Data Faster with the CDP DDE Template

Cloudera

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. Coordinates distribution of data and metadata, also known as shards. data best served through Apache Solr).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

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.

article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. ZooKeeper issue.

Kafka 93
article thumbnail

What is Azure Data Factory – Here’s Everything You Need to Know

Edureka

ADF leverages compute services like Azure HDInsight, Spark, Azure Data Lake Analytics, or Machine Learning to process and analyze the data according to defined requirements. Publish: Transformed data is then published either back to on-premises sources like SQL Server or kept in cloud storage.