How to effectively store and analyze logs in AWS CLOUD
This blog aims to help you understand how to store and analyze logs in AWS and some recommended practices.
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Things to know about Streaming data
Stream processing services and architectures are becoming increasingly popular because they enable developers to mix data feed from multiple sources, and since not all data is produced equally and its value changes. This blog will cover the introduction to streaming data, components of streaming data architecture, integrating batch processing with stream processing, and in depth…
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Things to know about Machine learning(ML) models on cloud
As data becomes more diverse and valuable, we will see more Machine Learning models on cloud. With the rise of intelligent machines, it is becoming important for developers to understand Machine Learning approaches on cloud. This blog covers what is machine learning, distributed machine learning, Amazon Rekognition, Amazon Lex, Amazon Sagemaker, and Amazon EMR.
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Things to know about Data-Driven Architecture on cloud
As data becomes more diverse and valuable, we will see more data-driven architecture and software. With the rise of data, it is becoming important for developers to understand data-driven approaches. This blog explains what data is, how can we enrich our data, how can we analyse our data, and how to best use our data.…
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When and Why to migrate from spreadsheet to a Database
As data becomes one of the important parameters to consider before developing you solution, as we try to analyse, enrich and predict from our data. Before we deep dive into developing data products, we have to understand why do we use a excel sheet, when and why do we need to shift to a db
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Introduction to Apache Spark, SparkQL, and Spark MLib.
In this blog, i focus on Apache Spark , features and limitations of Apache Spark , architecture of Apache Spark, architecture of SparkQL, and architecture of Spark MLib .
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