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11AprApril 11, 2024

Transferring real-time data stream processed by Apache Flink to Kafka to Druid for analysis

Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This allows them to take advantage of opportunities that might otherwise pass them by and prevent problems from getting worse. Apache Kafka, a popular event streaming platform, can be used for real-time ingestion of data/events generated from various sources across multiple verticals such as IoT, financial transactions, inventory, etc. This data can then be streamed into multiple downstream applications or engines for further processing and eventual...

By Gautam GoswamiApache Druid, Apache Kafka, Big Data, Data Ingestion, Data Scienceapache druid, Apache Flink, Apache Kafka, Kafka and Druid, kafka flink and druid, multi-broker kafka cluster, real time analytics with apache druid, real time stream processing with apache flink, real time streaming with kafka, Real-time data analytics, real-time data analytics. with Apache Flink, sending streaming data from flink to kafka0 Comments

19DecDecember 19, 2023

Architecture to leverage Apache Kafka for sharing large messages (GB size)

In today's data-driven world, the capability to transport and circulate large amounts of data, especially video files, in real-time is crucial for news media companies. For example, an incident occurred in a specific location, and a news reporter promptly filmed the entire situation. Subsequently, the complete video was distributed for broadcasting across their multiple studios situated in geographically distant locations. To construct or create a comprehensive solution for the given problem statement, we can utilize Apache Kafka in conjunction with...

By Gautam GoswamiApache Kafka, Data Engineering, Data ScienceApache Kafka, Big Data, HDFSComments Off

20NovNovember 20, 2023

The Zero Copy Principle With Apache Kafka

The Apache Kafka, a distributed event streaming technology, can process trillions of events each day and eventually demonstrate its tremendous throughput and low latency. That’s building trust and over 80% of Fortune 100 businesses use and rely on Kafka. To develop high-performance data pipelines, streaming analytics, data integration, etc., thousands of companies presently use Kafka around the globe. By leveraging the zero-copy principle, Kafka improves efficiency in terms of data transfer. In short, when doing computer processes, the zero-copy...

By Gautam GoswamiApache Kafka, Data ScienceApache Kafka, Big Data, event streaming platformComments Off

25SepSeptember 25, 2023

Causes and remedies of poison pill in Apache Kafka

A poison pill is a message deliberately sent to a Kafka topic, designed to consistently fail when consumed, regardless of the number of consumption attempts. Poison Pill scenarios are frequently underestimated and can arise if not properly accounted for. Neglecting to address them can result in severe disruptions to the seamless operation of an event-driven system. The poison pill for various reasons: The failure of deserialization of the consumed bytes from the Kafka topic on the consumer side. Incompatible serializer and deserializer...

By Gautam GoswamiApache Kafka, Data Engineering, Data ScienceApache Kafka, Big Data, Data Engineering, dead letter queue, Kafka Poison Pill, message serialization in kafka, message validation in kafka, Poison Pill, timeouts and deadlines in kafka, versioning the kafka topicsComments Off

06JulJuly 6, 2023

The significance of deep storage in Apache Druid

The phrase “deep storage” refers to the long-term storage system used by Apache Druid, where past data segments are preserved for durability and retrieval in the future. Druid stores data in files called segments and deep storage is the place where segments are stored. Even though Druid’s native integration with Apache Kafka (can read here how to integrate Druid with Kafka) and Amazon Kinesis, which allows query-on-arrival at millions of events per second, low latency ingestion, etc., and eventually enables us to...

By Gautam GoswamiData Engineering, Data Scienceapache druid, Apache Kafka, ZookeeperComments Off

11SepSeptember 11, 2020

Coming Along with Chat bots

Chatbot Service Moving your business where users use it most. Providing users access to information at their fingertips by where information is just a question away. Providing a conversation interface to users to query the information they need without having a human intervention. We can help you build Conversation AI driven chatbot which will help you provide a better user experience and expand your each to customers. Benefits of a Chatbot Availability A chatbot is available round the clock ensuring assistance is not...

By Kislay KomalArtificial Intelligence, ChatBots & VoiceBotsAlexa Skills Kit, Amazon Lex, Benefits of a Chatbot, Chatbot assitance for Corono, Chatbot for Covid-19, Chatbot platforms, Chatbot Service, common use cases of a Chatbot, Customer or Employee Self-service, DialogFLow, Employee Onboarding, FAQ Chatbot, Google Actions, Landbot, Quality Support Chatbot, Rasa, Reporting Chatbot, Store LocatorComments Off

11SepSeptember 11, 2020

Store Locator Bot

Problem Statement During the Covid-19 pandemic how will one know if stocks are available at a nearby retail store. As we all might have experienced that before or during the lock-down a few individuals purchased a lot of items in bulk and for oneself and family without considering the risk of stocks not being available to the rest. Also, to ensure each of us stay home and not go out every now and then to the stores we purchases groceries...

By Kislay KomalChatBots & VoiceBotsbenefits of bots, Chatbot for Whatsapp, Chatbot Using DialogFlow, Covid-19 pandemic, Covid-19 pandemic lock-down, Covid-19 Problem, Covid-19 solution, development of the chatbot, Locating Stores using bot, on the go assistance bots, Store Locator Bot, Store Locator ChatbotComments Off

29MarMarch 29, 2019

Data Analysis Vs Predictive Analysis Vs Artificial Intelligence

What is Artificisal Intelligence? In simple words, Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, to learn from experience, adjust to new inputs and perform human-like tasks. Data Analysis - Predictive Analysis – Artificial Intelligence Data analysis refers to reviewing data from past events for patterns. Predictive analysis is making assumptions and testing based on past data to predict future what/ifs. AI machine learning analyzes data, makes assumptions, learns and provides predictions at a scale and depth of detail...

By Kislay KomalArtificial IntelligenceAI machine learning analyzes data, Artificial Intelligence, Data Analysis, Data analysis refers to reviewing data from past events for patterns, Data Analysis Vs Predictive Analysis Vs Artificial Intelligence, learns and provides predictions, makes assumptions, Predictive Analysis, Predictive analysis is making assumptions and testing based on past data to predict future, What is Artificisal IntelligenceComments Off

12AugAugust 12, 2018

The Brain and Convolutional Neural Network (CNN)

In the beginning of our life parents/family used to tell us name of the objects we see. We learned by examples given to us. Slowly we started recognizing certain things more often. They became so common that next time we saw them we would instantly know the name of the object and details of that. We label every object based on what we have learnt in the past. This is what we subconsciously do all days, we see, label, make...

By Kislay KomalArtificial Intelligence, Data Science, Deep Learning, Machine LearningC Cells, CNN, CNN Layer, Complex cells, Components of CNN, convolution layer, Convolutional Neural Network, Convolutional Neural Network (CNN), convolutions, Feature extraction, Hidden Layers, image classification, image classification and recognition, image recognition, neocortex, neurons, non-linear output, padding, pooling operations, primary visual pathway, python, receptive field, Rectified Linear Unit, ReLU, S Cell, simple cells, softmax function, squeezing effect, Vijay Kumar PMP, visual neurons cellsComments Off

16MarMarch 16, 2017

How Google news is able to group similar news together

Google news uses clustering machine learning techniques to group similar kind of news or articles together. Interestingly, they don't have thousand news editors on trunk instead use the clustering techniques to forms groups of similar data based on the common characteristics. Mahout is a machine learning software from Apache community that applications leverage to analyse large sets of data. Before invention of Mahout, it was too complex to a analyse large sets of data. Mahout extensively utilize Apache Hadoop to...

By Gautam GoswamiData Engineering, Machine LearningApache Mahout, Classification, Clustering, clustering machine learning, clustering machine learning technique, community information, google news, How Google news is able to group similar news together, machine learning, machine learning techniques, Mahout, Recommendation, user informationComments Off