Clustering, Database and Internet of Things

Exploring the fundamentals of online transaction processing databases

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness.

Database

Database Data Scientist Data Mining Data Mining

Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors

AWS Machine Learning Blog

APRIL 18, 2025

Think of the examples of clickstream data, credit card swipes, Internet of Things (IoT) sensor data, log analysis and commodity priceswhere both current data and historical trends are important to make a learned decision. In this step, you follow the detailed instructions that are mentioned at Create a topic in the Amazon MSK cluster.

Apache Kafka

Apache Kafka AWS Clustering Database

Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

JULY 24, 2023

Its characteristics can be summarized as follows: Volume : Big Data involves datasets that are too large to be processed by traditional database management systems. databases), semi-structured data (e.g., Clusters : Clusters are groups of interconnected nodes that work together to process and store data.

Big Data

Big Data Big Data Data Engineering Data Engineering

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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What is a Hadoop Cluster?

Pickl AI

JULY 29, 2024

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

Hadoop

Hadoop Clustering Big Data Big Data

Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

DECEMBER 3, 2021

Is K-means clustering different from KNN? The radar analyzes the different areas in which this company, which specializes in emerging technologies such as the blockchain, big data, cloud and the Internet of Things, as well as machine learning. Can you explain how unsupervised and supervised machine learning are different?

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Data lakes vs. data warehouses: Decoding the data storage debate

Data Science Dojo

JANUARY 12, 2023

Data is loaded into the Hadoop Distributed File System (HDFS) and stored on the many computer nodes of a Hadoop cluster in deployments based on the distributed processing architecture. Some NoSQL databases are also utilized as platforms for data lakes. To preserve your digital assets, data must lastly be secured.

Data Lakes

Data Lakes Data Warehouse Hadoop Machine Learning

Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

MAY 31, 2023

From there, a machine learning framework like TensorFlow, H2O, or Spark MLlib uses the historical data to train analytic models with algorithms like decision trees, clustering, or neural networks. Tiered Storage enables long-term storage with low cost and the ability to more easily operate large Kafka clusters.

Data Lakes

Data Lakes Machine Learning Machine Learning Apache Kafka

Citus 12: Schema-based sharding for PostgreSQL

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? You can shard your Citus database by creating a schema per tenant, as an alternative to distributing tables by a tenant ID column.

Database

Database SQL Data Modeling Data Models

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

APRIL 24, 2024

We use Knowledge Bases for Amazon Bedrock to fetch from historical data stored as embeddings in the Amazon OpenSearch Service vector database. You can use Fargate with Amazon ECS to run containers without having to manage servers, clusters, or virtual machines. You can use LCEL to build the SQL chain.

AWS

AWS AI AI SQL

Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

Apache Kafka

Apache Kafka Internet of Things Data Pipeline Clustering

A Comprehensive Guide to the main components of Big Data

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key Takeaways Big Data originates from diverse sources, including IoT and social media. What is Big Data?

Big Data

Big Data Big Data Data Lakes Apache Hadoop

A Comprehensive Guide to the Main Components of Big Data

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key Takeaways Big Data originates from diverse sources, including IoT and social media. What is Big Data?

Big Data

Big Data Big Data Data Lakes Apache Hadoop

10 industries that use distributed computing

IBM Journey to AI blog

JULY 18, 2024

Database management is an area empowered by distributed computing, as are distributed databases, which perform faster by having tasks broken down into smaller actions. Manufacturing also deals with designing and creating Internet of Things (IoT) gadgets and tools that collect and transmit data.

Cloud Computing

Cloud Computing Database Internet of Things ML

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

JANUARY 13, 2023

This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients.

AWS

AWS Analytics Analytics Machine Learning

What is IOT Data Visualization?

Pickl AI

FEBRUARY 19, 2025

Introduction The Internet of Things (IoT) connects billions of devices, generating massive real-time data streams. IoT data visualization converts raw data generated by Internet of Things (IoT) devices into visual formats such as charts, graphs, maps, and dashboards. What is IoT Visualization?

Data Visualization

Data Visualization Power BI Tableau Internet of Things

Introduction to Apache NiFi and Its Architecture

Pickl AI

JULY 30, 2024

Scalability : NiFi can be deployed in a clustered environment, enabling organizations to scale their data processing capabilities as their data needs grow. IoT Data Processing With the rise of the Internet of Things (IoT), NiFi is increasingly used to process data generated by IoT devices.

ETL

ETL Data Lakes Big Data Big Data

How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker

AWS Machine Learning Blog

JANUARY 20, 2023

A trusted leader in AI, Internet of Things (IoT), customer experience, and network and workflow management, CCC delivers innovations that keep people’s lives moving forward when it matters most. CCC cloud technology connects more than 30,000 businesses digitizing mission-critical workflows, commerce, and customer experiences.

AWS

AWS AI AI Computer Science

What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

JULY 11, 2023

IoT (Internet of Things) Edge Computing: With the increasing number of connected devices and the amount of data generated, companies are implementing IoT edge computing, which uses edge devices, such as gateways, routers, or even small-scale data centers, to process and analyze data closer to the source, and reduce the need for central data centers.

Data Lakes

Data Lakes AI AI Cloud Computing

Data Science Current

Exploring the fundamentals of online transaction processing databases