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.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

Instaclustr

DECEMBER 2, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 36

IoT Open Source Conference Big Data 36

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

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.,

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). How will my privacy be protected?

Knowledge Base 107

Knowledge Base Artificial Inteligence Generative AI AWS 107

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

OTS Solutions

MAY 2, 2023

Internet of Things (IoT): The Internet of Things has become important in digital transformation. It is a network of interconnected devices that can communicate and exchange data with each other. Automation in work processes, paperless transactions, and digital storage options can help companies to save on costs.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. Pick the pieces you need, whether it’s Kafka core for data transportation, Kafka Connect for data integration or Kafka Streams/KSQL for data preprocessing.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Strategy Driven

MARCH 30, 2020

For instance, it’s hard to imagine a viable alternative to fossil-fuel-based transportation right now. Hence, LNG is bound to revolutionize fuel shipping and storage. Big data, for example, should work wonders for risk monitoring and prediction. It’s also not as scalable as fossil fuels. Still Keeping the Lights On.

Industry 29

Industry Energy Travel Sustainability 29

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

Confluent

MAY 22, 2019

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 96

IoT Google Cloud Scalability Microservices 96

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

MARCH 30, 2020

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. Sensors stream signals to data storage through an IoT gateway, a physical device or software program that serves as a bridge between hardware and cloud facilities.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Cloudera

AUGUST 27, 2021

With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. . Its initial step in the pursuit of a digital-first strategy saw it turn to Cloudera for a more agile and cost-effective data storage infrastructure.

Industry 85

Industry Data Telecommunications Big Data 85

Altexsoft

JULY 9, 2021

manufacturing — generate so much data that it causes traffic jams on the route to the servers. The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. What is edge computing. unlimited scalability.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

JUNE 25, 2019

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Hu's Place - HitachiVantara

MARCH 18, 2019

As a megacity Istanbul has turned to smart technologies to answer the challenges of urbanization, with more efficient delivery of city services and increasing the quality and accessibility of such services as transportation, energy, healthcare, and social services. Hitachi Europe has introduced Finger Vein biometrics for ATMs.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Altexsoft

FEBRUARY 22, 2022

Fleet owners in trucking , car rental , delivery, and other transportation companies know that poorly maintained vehicles burn more fuel, require frequent oiling, and go kaput every other mile. Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated. Processing data.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Find sources of relevant data. Choose data collection methods and tools. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

OCTOBER 2, 2020

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

MARCH 14, 2023

Data sources The first component of the MDS architecture is a place, or in most cases, places where your data originates from. Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices.

Data 59

Data Technical Review Software Review Artificial Inteligence 59