Analytics, Example, IoT and Storage - Technology Performance Pulse

Act locally, connect globally with IoT and edge computing

All Things Distributed

OCTOBER 16, 2019

There are places so remote, so harsh that humans can't safely explore them (for example, hundreds of miles below the earth, areas that experience extreme temperatures, or on other planets). The answer to this question is actually on your phone, your smartwatch, and billions of other places on earth—it's the Internet of Things (IoT).

IoT

IoT Healthcare Internet Internet

How digital experience monitoring helps deliver business observability

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring

Monitoring Social Media IoT Metrics

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

Observations on the Importance of Cloud-based Analytics

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics

Analytics Cloud Healthcare Retail

Carving an AWS certification path

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS

AWS Best Practices Analytics Cloud

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

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. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

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. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce

Ecommerce Cache Scalability IoT

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data

Big Data Database Artificial Intelligence Open Source

Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). Metrics for each service instance are presented in detailed charts—see the example for ECS below.

AWS

AWS Metrics IoT Storage

Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). Metrics for each service instance are presented in detailed charts—see the example for ECS below.

AWS

AWS Metrics IoT Storage

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Fraud.net is a good example of this.

AWS

AWS Cloud Artificial Intelligence IoT

The Future in Visual Computing: Research Challenges

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. One such example is activity recognition in motion video (such as LRCN , Convnets ) which may entail running combinations of both convolutional as well as recurrent neural networks simultaneously. Quality vs Bandwidth.

Wireless

Wireless IoT Analytics Architecture

Scale your enterprise cloud environment with enhanced AI-powered observability of all AWS services

Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. AWS IoT Things Graph. AWS Storage Gateway. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose. Amazon Quantum Ledger Database (QLDB). Amazon Lex. Amazon Rekognition. AWS RoboMaker. Amazon Machine Learning. Amazon Managed Streaming for Apache Kafka.

AWS

AWS Cloud IoT Database

Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming

Programming IoT Java Analytics

Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

OCTOBER 7, 2015

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. SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds.

Cloud

Cloud Big Data AWS Analytics

A one size fits all database doesn't fit anyone

All Things Distributed

JUNE 21, 2018

Airbnb is a great example of a customer building high-performance and scalable applications with Amazon Aurora. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Take Expedia, for example.

Database

Database AWS Games Latency

Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming

Programming IoT Java Analytics

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems

Systems Cache Website Network

Technology Performance Pulse

Act locally, connect globally with IoT and edge computing

How digital experience monitoring helps deliver business observability

Trending Sources

The Need for Real-Time Device Tracking

Observations on the Importance of Cloud-based Analytics

Carving an AWS certification path

Adding New Capabilities for Real-Time Analytics to Azure IoT

The Amazing Evolution of In-Memory Computing

The Amazing Evolution of In-Memory Computing

What is Greenplum Database? Intro to the Big Data Database

Get up to 300 new metrics out of the box with AWS supporting services (GA)

Get up to 300 new metrics out of the box with AWS supporting services (GA)

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

The Future in Visual Computing: Research Challenges

Scale your enterprise cloud environment with enhanced AI-powered observability of all AWS services

Object-Oriented Programming Simplifies Digital Twins

Expanding the Cloud: Introducing Amazon QuickSight

A one size fits all database doesn't fit anyone

Object-Oriented Programming Simplifies Digital Twins

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

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