Getting Started with Building IoT Platform IoT Data Platform provides an interface to connect different sources with different data types for Real-Time Streaming and processing with Preventive Maintenance using Machine learning and Deep Learning Algorithms. Support Fast Data and Reactive apps, Event-Driven, Fault Tolerance, Real-Time and Streaming Data for IoT Solution. Business Challenges for Building Real-Time Streaming Platform Build a...
21 October 2021
Understanding Internet of Things Internet of Things comprises computing devices having the capability to transfer data over the network. IoT has eliminated the requirement of human-machine...
IoT based Smart Farming IoT Smart technology enables new digital agriculture. Today technology has become a necessity to meet current challenges and several sectors are using the latest technologies...
What are the challenges in Manufacturing Industries? Technical faults in machinery will decrease turbines' productivity, disrupt deliverables, and ultimately decrease credibility. Several turbines...
Drought Prediction and Monitoring With Deep Learning Drought Prediction can save hundreds of livesWeather Impacts human, as well as a business without bias and understanding the impact of weather...
Overview of Building Advanced Analytics Platform Building an analytics platform involves the collection of data from API of various sources followed by integration of data into the application,...
Overview of Data Lake Architecture Build Data Lake to perform Analytics to collect data from different countries Servers, IoT, Social Media, Click Streams and logs to research Product discovery,...
Building Data Ingestion Platform Building a Data Ingestion Platform using Apache Nifi could be tedious. Let's explore this use case that reveals the challenges and techniques to build such a...
Introduction to StreamSets Architecture StreamSets implementation for Data Ingestion and CDC for Real-Time Tweets from Twitter API's and Data Migration from MySQL to Data Pipeline using Kafka and...
Understanding Snowflake and Star Schema Snowflake Schema It has more than one fact table used to avoid complexity and to create a more normalized structure. Star Schema It consists of a single fact...
Introduction to Real-Time Streaming Real-Time Streaming involves data pipeline for Data Ingestion from different sources using Apache Nifi, Apache Kafka, Apache Spark, and Cassandra. Apache Nifi...
Building Samsara-Analytics Platform for Shyrne Limited XenonStack helped Shyrne Limited Enterprises to build an analytics platform to archive data from Social Media account. It creates a scrapbook...
Setting up Analytics Stack for Streaming Applications SKACK Stack is an open source Full-Stack platform for Real-Time analysis of Big Data. It consists of Apache Spark, Kubernetes, Akka, Apache...
Understanding Data Migration Techniques and Best Practices Data Migration involves extraction, transformation, and loading. Comprising the following steps Transferring data Modification of Workflows...
Getting Started with In-Memory Analytics Data Generation is happening at exponential rate and Industry (retailers, telco-providers, security agencies, scientists, etc.) needs more insights from the...
Building Query Platform with Presto and Apache Hive Distributed SQL Query Engine Presto runs analytic queries. Infrastructure Automation implemented using Ansible and Terraform for Auto Launching,...
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