Data Engineering IoT Storage Transportation 
CIO
FEBRUARY 14, 2023
Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal.
Cloudera
JANUARY 20, 2021
This story will show how data is collected, enriched, stored, served, and then used to predict events in the car’s manufacturing process using Cloudera Data Platform. STEP 3: Monitor data throughput from each factory. STEP 4: Capture data from Apache Kafka streams. STEP 5: Push data to storage solutions.
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Altexsoft
APRIL 13, 2023
If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; The readings from IoT sensors and other connected devices (e.g.,
Confluent
FEBRUARY 6, 2019
This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.
Altexsoft
AUGUST 25, 2020
Big data is tons of mixed, unstructured information that keeps piling up at high speed. That’s why traditional data transportation methods can’t efficiently manage the big data flow. Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data.
Altexsoft
JUNE 25, 2019
If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.
Altexsoft
JANUARY 22, 2020
With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. Sales region: Northern California.
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