Analytics, Architecture, Database and IoT - Technology Performance Pulse

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. 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. The list goes on.

IoT

IoT Analytics Big Data Architecture

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

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

Azure Cloud Big Data Virtualization

Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT

IoT Azure Analytics Healthcare

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data

Big Data Database Artificial Intelligence Open Source

The Next Generation in Logistics Tracking with Real-Time Digital Twins

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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics

Logistics Retail Analytics Azure

The Next Generation in Logistics Tracking with Real-Time Digital Twins

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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics

Logistics Retail Analytics Azure

The Next Generation in Logistics Tracking with Real-Time Digital Twins

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

Logistics Retail Analytics Azure

Adding New Capabilities for Real-Time Analytics to Azure IoT

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

IoT Azure Analytics Serverless

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

DECEMBER 18, 2020

App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. 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. Dashboard Powerups.

Analytics

Analytics Metrics IoT Monitoring

The Amazing Evolution of In-Memory Computing

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

Ecommerce Cache Scalability IoT

The Amazing Evolution of In-Memory Computing

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

Ecommerce Cache Scalability IoT

What is Azure Functions?

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

Azure Serverless IoT Lambda

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

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 Triggers.

Database

Database Lambda AWS IoT

What is APM?

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Application architecture to gain insights into how application architecture changes impact performance and user experience. Point solutions only provide a limited view of a company’s application architecture.

Monitoring

Monitoring Mobile Social Media Artificial Intelligence

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics

Logistics IoT Analytics Azure

Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics

Logistics IoT Analytics Azure

The Digital Twin: A Foundational Concept for Stateful Stream Processing

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing

Processing IoT Programming Software Engineering

The Digital Twin: A Foundational Concept for Stateful Stream Processing

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing

Processing IoT Programming Software Engineering

Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries.

Analytics

Analytics Availability Media Social Media

Technology Performance Pulse

The Need for Real-Time Device Tracking

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Trending Sources

Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

What is Greenplum Database? Intro to the Big Data Database

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Next Generation in Logistics Tracking with Real-Time Digital Twins

Adding New Capabilities for Real-Time Analytics to Azure IoT

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

What is Azure Functions?

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

What is APM?

Announcing the ScaleOut Digital Twin Streaming Service™

Announcing the ScaleOut Digital Twin Streaming Service™

The Digital Twin: A Foundational Concept for Stateful Stream Processing

The Digital Twin: A Foundational Concept for Stateful Stream Processing

Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

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