Smart Data Collective

AUGUST 27, 2023

This data is then transformed into heat maps and visualizations, revealing crucial patterns in player positioning, running distances, and even fatigue levels. Performance Metrics Data collection also extends to individual player metrics. This allows teams to make proactive adjustments and maintain a competitive edge.

Data Collection 86

Data Collection Broadcasting Data-driven Predictive Analytics 86

AWS Big Data

SEPTEMBER 14, 2023

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. Then it broadcasts the barrier downstream. For more details, refer to Limitations.

Snapshot 93

Snapshot Broadcasting Optimization Management 93

Rocket-Powered Data Science

JULY 19, 2023

For example, an exploration of historical data may reveal that an increase in customer satisfaction (or dissatisfaction) with one particular product is correlated with some other satisfaction (or dissatisfaction) metric downstream at a later date.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

AWS Big Data

AUGUST 26, 2024

The following table summarizes the metrics. Metric Amazon EMR 7.1 Metric Amazon EMR 7.1 times better Baseline In addition to the time-based metrics discussed so far, data from Spark event logs shows that Amazon EMR 7.1 times less data from Amazon S3 and 4.1 Metric Amazon EMR 7.1 and Iceberg 1.5.2.

Cost-Benefit 95

Cost-Benefit Testing Optimization Metrics 95

Smart Data Collective

APRIL 7, 2022

So it’s more than fair to say that having good quality data visualizations is something worth taking into account. Visualization unlocks big data difficulties. By 2025, the total amount of data that’s been created, captured and used globally will be around 180 zettabytes. Visualization tells and sells stories.

Visualization 135

Visualization Strategy Broadcasting Big Data 135

AWS Big Data

SEPTEMBER 14, 2023

On receiving the signal, each source sub-task independently snapshots its state (for example, the offsets of the Kafka topic it is consuming) to a persistent storage, and then broadcasts a special record called checkpoint barrier (“CB” in the following diagrams) to all outgoing streams. It is then asynchronously sent to the backend.

Optimization 85

Optimization Snapshot Management Broadcasting 85

IBM Big Data Hub

MARCH 8, 2024

Error rates: 5G’s adaptive Modulation and Coding Scheme (MCS), a schematic that WiFi devices use to transmit data, is more powerful than ones in 3G and 4G networks. This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower.

IoT 97

IoT Broadcasting Internet of Things Technology 97

AWS Big Data

JANUARY 10, 2024

In an OpenSearch Service cluster, the active and standby zones can be checked at any time using Availability Zone rotation metrics, as shown in the following screenshot. These systems rely on an active leader node to identify failures or delays and then broadcast this information to all nodes.

Metadata 103

Metadata Broadcasting Data Processing Modeling 103

IBM Big Data Hub

JUNE 20, 2023

Preventive maintenance Preventive maintenance helps prevent the unexpected failure of an asset by recommending maintenance activities according to a historical record and current performance metrics. Put simply, it’s about fixing things before they break.

Strategy 71

Strategy Management Cost-Benefit IoT 71

IBM Big Data Hub

JULY 5, 2023

Today, asset management software helps companies maintain the most important information about their assets—such as condition, maintenance and repair history, location, licensing and performance metrics—more accurately and efficiently. What follows are some asset lifecycle management best practices that companies rely on.

Strategy 52

Strategy Management IoT Cost-Benefit 52

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. pt_rdd = parsed_input_rdd. deepcopy(c_centers) b_c_centers = sc. c_centers = [t.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Smart Data Collective

MAY 31, 2023

Big data technology has significantly changed the marketing profession over the last few years. One of the biggest changes brought on by big data has been in the field of social media marketing. Analytics Insight talked about some of the many ways that data analytics is becoming more important for the social media giant.

Marketing 80

Marketing Data Analytics Analytics Interactive 80

Occam's Razor

DECEMBER 8, 2017

If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. They did not need Big Data or Artificial Intelligence to come to that conclusion. Better than Reach and Brand Lift metrics?

Broadcasting 123

Broadcasting Measurement Sales Marketing 123