VoltDB

JANUARY 12, 2018

So, in the spirit of things, we’ve laid out a few New Year’s resolutions that all database professionals can take into account as they look to turn over a new leaf in 2018 and build on their successes. The post Database Resolutions for 2018 appeared first on VoltDB. Create Better, Real-Time Customer Experiences.

Database 40

Database Blockchain Healthcare Transportation 40

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 146

Azure Cloud Big Data Virtualization 146

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

SEPTEMBER 30, 2021

AWS Certified Database – Specialty: Database specialists with deep knowledge of relational and non-relational databases and some AWS experience might want to check out this certification. Machine learning.

AWS 205

AWS Best Practices Analytics Cloud 205

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. A new record entering a database table. Tasks like API requests, database calls, and file system management are perfect candidates for this service.

Lambda 177

Lambda AWS Serverless Hardware 177

Adrian Cockcroft

NOVEMBER 26, 2023

Learn how SK ecoplant and AWS are collaborating to use IoT sensors to collect field data and AI to deliver water quality predictions, enhancing decision-making and delivering waste management insights. AWS speaker: T. Programs like Open Data on AWS provide free, publicly available datasets, accelerating sustainability innovation.

AWS 52

AWS Energy IoT Best Practices 52

ScaleOut Software

APRIL 6, 2021

The unique capabilities of real-time digital twins can provide important advances for numerous applications, including security, fleet telematics, IoT, smart cities, healthcare, and financial services. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Morning Paper

FEBRUARY 23, 2020

Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. The query optimization problem is more challenging for AnyLog coordinators than in traditional parallel database systems. An embodiment for structured data for IoT.

Blockchain 94

Blockchain Internet Internet IoT 94

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). Next Digital operates on AWS in a more highly available and fault-tolerant environment than their previous colocation solution.

AWS 149

AWS Logistics Cloud Social Media 149

ScaleOut Software

JANUARY 9, 2020

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52

IoT Azure Analytics Serverless 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

The Netflix TechBlog

AUGUST 30, 2021

MQTT is an OASIS standard messaging protocol for the Internet of Things (IoT) and was designed as a highly lightweight yet reliable publish/subscribe messaging transport that is ideal for connecting remote devices with a small code footprint and minimal network bandwidth. This effectively ensures exactly-once processing on a per-event basis.

Latency 213

Latency Traffic Transportation Hardware 213

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

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 136

Azure Serverless IoT Lambda 136

Testsigma

FEBRUARY 12, 2021

We have software that communicates with different components, such as APIs, databases, and hardware, and data flows in real-time across many connected devices in the IoT environment (internet of things). With the complexity of an application, the amount of test effort required increases exponentially.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Security, databases, and programming languages effortlessly remain up to date and secure in the serverless model. Connecting IoT devices (for example, AWS IoT Device Management ). Services scale to meet demand.

Serverless 242

Serverless Efficiency Lambda Azure 242

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

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. Lock Manager.

IoT 61

IoT Servers Development Cache 61

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. Amazon Database Migration Service. Amazon Quantum Ledger Database (QLDB). AWS IoT Analytics. AWS IoT Things Graph. Ensure high application performance by easily troubleshooting Amazon Neptune graph database. Coming Soon.

AWS 267

AWS Cloud IoT Database 267

VoltDB

JUNE 19, 2017

VoltDB is one of the only databases in the world to be proven by Telcos, and customers in other industries, to successfully manage high-performance transactions in the millisecond range, quickly and correctly. These types of applications justify the cost of 5G. Here at VoltDB, we’re excited to see what else 5G will bring.

Latency 40

Latency Retail Virtualization Hardware 40

VoltDB

JUNE 19, 2017

VoltDB is one of the only databases in the world to be proven by Telcos, and customers in other industries, to successfully manage high-performance transactions in the millisecond range, quickly and correctly. These types of applications justify the cost of 5G. Here at VoltDB, we’re excited to see what else 5G will bring.

Latency 40

Latency Retail Virtualization Hardware 40

Dynatrace

OCTOBER 11, 2021

These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. GCF also has relevance in IoT and file processing tasks. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP. GCF use cases. Using GCF within a video analysis workflow.

Google 218

Google Cloud Serverless Azure 218

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

Dynatrace

DECEMBER 18, 2020

There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. It’s structured as a single page app (SPA) and hosted on GitHub Pages. The app pulls all of the data from GitHub and Dynatrace APIs.

Analytics 135

Analytics Metrics IoT Monitoring 135

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

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). With Amazon ML there is no setup cost and you pay as you go, so you can start small and scale as your application grows.

Lambda 123

Lambda Cloud IoT AWS 123

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

Alex Russell

APRIL 29, 2021

Allows Bluetooth Low Energy devices to safely communicate with web apps, eliminating the need to download heavyweight applications to configure individual IoT devices. Particularly important in industrial, IoT, health care, and education scenarios. Important in videoconferencing, commerce, and IoT setup scenarios. Web Serial.

Media 145

Media Games Education Engineering 145

All Things Distributed

APRIL 4, 2017

After migrating, database queries that took six seconds now take three seconds in their AWS infrastructure. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. That’s 100% faster.

AWS 117

AWS Airlines Latency Games 117

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