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. Conventional streaming analytics architectures have not kept up with the growing demands of IoT. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

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. Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. IoT is one of the most vibrant tech trends among current trends in web application development. How does IoT work? IoT tracking systems.

Blockchain 59

Blockchain IoT Development Serverless 59

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. Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Industrial IoT use cases are an example here. federated machine learning and federated database management systems) seems a reasonable way of describing what’s going on here. PVLDB’20.

Cloud 104

Cloud Big Data Latency Architecture 104

Alex Russell

APRIL 29, 2021

Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data. Particularly important in industrial, IoT, health care, and education scenarios.

Media 145

Media Games Education Engineering 145

Testsigma

FEBRUARY 12, 2021

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. In such cases, mostly what is needed is the efficient implementation of test automation. Improvement of testing efficiency.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167