Cloudera

OCTOBER 17, 2023

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. The number of use cases supported by a single Kafka topic is a better indicator than a raw measure of volume like events per second.

Data-driven 80

Data-driven Enterprise IoT Data Warehouse 80

Cloudera

APRIL 2, 2019

Data-driven organizations – particularly those utilizing IoT – require low-latency, high-performance compute to process data at the edge in order to make faster, smarter decisions. When in memory mode, the data is not saved in the event of a power loss.

Cost-Benefit 48

Cost-Benefit IoT Testing Machine Learning 48

Sisense

MAY 11, 2021

When it comes to data modeling, function determines form. Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

OCTOBER 3, 2018

The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We are both convinced that a scale-out, shared-nothing architecture — the foundation of Hadoop — is essential for IoT, data warehousing and ML. We have each innovated separately in those areas.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Domino Data Lab

MARCH 3, 2019

There are essentially four types encountered: image/video, audio, text, and structured data. That’s most likely a mix of devops, telematics, IoT, process control, and so on, although it has positive connotations for the adoption of reinforcement learning as well. Upcoming Events.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 125

Metadata Cost-Benefit Enterprise Interactive 125

Sisense

JULY 23, 2021

Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”. Athletes and sports are the heart of the Games, and the competition schedule drives everything around the event. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52