Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Effortlessly optimize Azure database performance.

Azure 147

Azure Cloud Big Data Virtualization 147

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

JUNE 20, 2017

Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). AWS Partner Network (APN) Consulting Partners in Hong Kong help customers migrate to the cloud.

AWS 149

AWS Logistics Cloud Social Media 149

The Morning Paper

OCTOBER 26, 2020

Helios: hyperscale indexing for the cloud & edge , Potharaju et al., On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Cloud-native systems represent by far the largest, most distributed, computing systems in our history. PVLDB’20.

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 138

Cloud Big Data AWS Analytics 138

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. Advanced Cloud Observability. From APM to full-stack monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182