Big Data Event Retail Storage 
Scalegrid
MAY 13, 2020
High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results.
Dynatrace
APRIL 20, 2023
Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. “Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dynatrace
JANUARY 16, 2023
Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Messaging : RabbitMQ and Kafka are the two main messaging and event streaming systems used. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.
Abhishek Tiwari
DECEMBER 22, 2017
Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. If the majority of your data is unstructured such as text, images, documents, etc. Classic ETL. Late transformation.
All Things Distributed
DECEMBER 13, 2016
UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.
Expert insights. Personalized for you.
321 
Let's personalize your content