All Things Distributed

JULY 14, 2015

However, in the past, you had to write code to manage the data changes and deal with keeping the search engine and data warehousing engines in sync. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

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 40

Programming IoT Java Analytics 40

Alex Podelko

OCTOBER 3, 2017

A lot of events are scheduled: Performance and Capacity Hackathon (which is $10 / free for the conference attendees), Performance Testing Workshop, CMG Training / Badge Program, and the CMG imPACt 2017 conference itself. Full program. More information here.

IoT 113

IoT Performance Programming Performance Testing 113

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Customizing and connecting these services requires code. Many events can trigger a lambda function. What is AWS Lambda?

Lambda 184

Lambda AWS Serverless Hardware 184

Dynatrace

MAY 17, 2019

It allows for the finding of cause-effect relationships between events, for instance, identifying which user action in a browser caused a failure in the business logic layer. We’re happy to announce the start of the Early Access Program for W3C Trace Context support in Dynatrace, which helps our customers in these various use cases.

Azure 149

Azure Open Source Transportation IoT 149

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination.

Code 52

Code Analytics Healthcare IoT 52

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. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

DECEMBER 13, 2016

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. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

APRIL 9, 2015

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. Developers really have flocked to using this serverless programming technology to build event driven services. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

Enprowess

SEPTEMBER 7, 2021

JavaScript is one of the most famous and loved programming languages nowadays. It is growing day by day and has kept its position for eight years in a row and belongs to the top ten most loved programming languages. uses an event-driven and non-blocking I/O model, so it is practical and lightweight. IoT-based applications.

Open Source 52

Open Source Virtualization Programming Servers 52

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Pointer Events. Provides support for "unread counts", e.g. for email and chat programs. Healthy competition features various parties trading the lead with regularity.

Media 145

Media Games Education Engineering 145