Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Rockset

MAY 17, 2022

More application code not only takes more time to create, but it almost always results in slower queries. The truth is that modern cloud native SQL databases support all of the key features necessary for real-time analytics , including: Mutable data for incredibly fast data ingestion and smooth handling of late-arriving events.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams. Why measure streaming data ingestion?

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The software was subsequently open sourced in 2016.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Cloudera

AUGUST 13, 2021

The business is so unprepared with information overflow that missing an important event or insight has become the business norm. The ability to have the right data can determine an enterprise’s ability to succeed or fail. Start thinking about processing data at the edge. What product can help collect events only?

Data Pipeline 108

Data Pipeline Data Lake ETL Tools Unstructured Data 108

Cloudera

JUNE 16, 2022

Faster data ingestion: streaming ingestion pipelines. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink.

Kafka 84

Kafka Manufacturing Data Lake SQL 84