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. Data analytics. The top AWS certification options. So, what are the best AWS certifications? Machine learning.

AWS 201

AWS Best Practices Analytics Cloud 201

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. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. A new record entering a database table.

Lambda 175

Lambda AWS Serverless Hardware 175

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

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

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. Access open data from the Amazon Sustainability Data Initiative (ASDI) with Amazon S3 and an API to explore air quality by geography. million deaths per year and around 91 percent of the world’s population lives where air quality levels exceed WHO limits.

AWS 52

AWS Energy IoT Best Practices 52

ScaleOut Software

APRIL 6, 2021

This new software model enables applications to easily analyze telemetry from individual data sources in 1-3 milliseconds while maintaining state information about data sources that deepens introspection. Scaleout StreamServer® DT was created to meet this need.

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. 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

The Morning Paper

FEBRUARY 23, 2020

The Web provides decentralised publishing and direct access to unstructured data ( searching / querying that data has turned out to be a pretty centralised affair in practice though). AnyLog wants to do for structured (relational) data what the Web has done for unstructured data, with coordinators playing the role of search engines.

Blockchain 94

Blockchain Internet Internet IoT 94

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. 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

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. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

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. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. The new AWS Asia Pacific (Hong Kong) Region will have three Availability Zones and be ready for customers for use in 2018.

AWS 146

AWS Logistics Cloud Social Media 146

The Netflix TechBlog

AUGUST 30, 2021

These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates. CockroachDB is chosen as the backing data store since it offered SQL capabilities, and our data model for the device records was normalized. Hereafter, they will be referred to as burst events.

Latency 213

Latency Traffic Transportation Hardware 213

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

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

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. Using streams, you can apply the changes to a full-text search data store such as Elasticsearch, push incremental backups to Amazon S3, or maintain an up-to-date read cache. DynamoDB Streams.

Database 167

Database Lambda AWS IoT 167

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). More data will be a persistent challenge when it comes to the growing organization.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

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

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 241

Serverless Efficiency Lambda Azure 241

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

VoltDB

JUNE 19, 2017

Currently, most applications are hosted in a small number of data centers (1-5), each of which is in charge of a geographic region. 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.

Latency 40

Latency Retail Virtualization Hardware 40

VoltDB

JUNE 19, 2017

Currently, most applications are hosted in a small number of data centers (1-5), each of which is in charge of a geographic region. 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.

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. Functions integrate with APIs (such as the Video Intelligence API ) to make this possible, forming a processing chain that eventually commits data to cloud storage. GCF also has relevance in IoT and file processing tasks. GCF use cases.

Google 214

Google Cloud Serverless Azure 214

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. Each service comes with zero-configuration, automatic instance detection, continuous data capture in context, and what’s most important – thanks to our AI engine Davis – is each service provides answers, not just data. AWS IoT Analytics.

AWS 265

AWS Cloud IoT Database 265

Dynatrace

DECEMBER 18, 2020

There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. The app pulls all of the data from GitHub and Dynatrace APIs. With that simple copy-paste, I now have all the performance, errors, and user experience data for BizOpsConfigurator! It’s structured as a single page app (SPA) and hosted on GitHub Pages.

Analytics 135

Analytics Metrics IoT Monitoring 135

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

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 131

Monitoring Performance Social Media Artificial Intelligence 131

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). So it is convenient for all to use irrespective of internet speed and it works offline using cached data. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 You can easily access these data by integrating chatbot with your CRM. Internet of Things (IoT).

Blockchain 59

Blockchain IoT Development Serverless 59

All Things Distributed

APRIL 9, 2015

As I wrote last week machine learning is becoming an increasingly important tool to build advanced data driven applications. Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available.

Lambda 122

Lambda Cloud IoT AWS 122

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. This data set is derived by walking a subset of web platform features exposed to JavaScript and, as such, may not capture the full richness of a particular browser. Reduces data use and improves page load performance.

Media 145

Media Games Education Engineering 145

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Cloud-native apps also produce many kinds of data.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148