Manish G Jain

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7 methods to perform Time Series forecasting (with Python codes)

Introduction<p>Most of us would have heard about the new buzz in the market i.e. Cryptocurrency. Many of us would have invested in their coins too. But, …

Data Science

Hashgraph: A Whitepaper Review

<i>Note: This is the first in a series of whitepaper reviews on blockchain and consensus, published by OpenToken. Next time, we’ll look at</i> <i>DFINITY</i><i>.</i><p>We’ve …

Blockchain

Citus and pg_partman: Creating a scalable time series database on Postgres

Years ago Citus used to have multiple methods for distributing data across many nodes (<i>we actually still support both today</i>), there was both …

Databases

E-mail

Cassandra and DynamoDB both origin from the same paper: Dynamo: Amazon’s Highly Available Key-value store. (By the way – it has been a very …

Databases

Learn how to be production-ready with AWS Lambda with me

Hi, those of you who follow me on Twitter or Medium might have heard me mention this already, I have been working with Manning Publishing the last 2 …

Cloud Computing

Ray: A Distributed System for AI

Robert Nishihara and Philipp Moritz Jan 9, 2018<p>As machine learning algorithms and techniques have advanced, more and more machine learning …

10 Lessons from 10 Years of AWS (part 1)

I recently presented a talk at the AWS Community Day in Bangalore. The tweet following the talk became my most popular tweet ever and I received …

A Beginner’s Guide to Data Engineering — Part I

Data Engineering: The Close Cousin of Data Science<p>Motivation<p>The more experienced I become as a data scientist, the more convinced I am that data …

A Look at Ten New Database Systems Released in 2017

As editor of Database Weekly, a weekly newsletter on what’s new in the world of databases and data storage generally, I enjoy poking around new …

A Simple Framework to Help You See Blockchain's Future

Today, pretty much any business flow and any communication between people or companies goes through TCP/IP in such a natural and implicit way that no …

Building a Distributed Log from Scratch, Part 1: Storage Mechanics

The log is a totally-ordered, append-only data structure. It’s a powerful yet simple abstraction—a sequence of immutable events. It’s something that …

Algorithms for Big Data: A Free Course from Harvard

From Harvard professor Jelani Nelson comes "Algorithms for Big Data," a course intended for graduate students and advanced undergraduate students. …

CRDT for Data Consistency in Distributed Environment

by Dmitry Martyanov<p>It is a well-known fact that the root of the vast majority of problems in Software Development is <b>Shared Mutable State</b>. It impacts …

PCA using Python (scikit-learn, pandas)

My last tutorial went over Logistic Regression using Python. One of the things learned was that you can speed up the fitting of a machine learning …

Here's everything you need to know about blockchains, the ground-breaking tech that could be as disruptive as the internet

From a 'castle' full of bitcoin millionaires to the initial coin offering (ICO) craze, it's hard to escape the chatter about how some people are building their fortunes off the new world of cryptocurrencies. But behind those cryptocurrencies sits a technology called blockchains, which some people …

Blockchain

The ultimate, 3500-word, plain English guide to blockchain

Unless you’ve been hiding under a rock, I’m sure you’ve heard of Bitcoin and blockchain. After all, they are one of the most trending topics these days  —  the ultimate buzzwords of the year. Even people who’ve never mined cryptocurrency or understand how it works, are talking about it.<p>My …

Bitcoin

Data Science Simplified Part 2: Key Concepts of Statistical Learning

In the first article of this series, I had touched upon key concepts and processes of Data Science. In this article, I will dive in a bit deeper. …

Algorithms

Benchmarking Structured Streaming on Databricks Runtime Against State-of-the-Art Streaming Systems

Benchmarking is a crucial and common process for evaluating the performance of systems. What makes a benchmark credible is its reproducibility. Many …

Big Data

Build an Autonomous Vehicle on AWS and Race It at the re:Invent Robocar Rally | Amazon Web Services

Build an Autonomous Vehicle on AWS and Race It at the re:Invent Robocar Rally<p>Autonomous vehicles are poised to take to our roads in massive numbers …

Why SQL is beating NoSQL, and what this means for the future of data

<i>After years of being left for dead, SQL today is making a comeback. How come? And what effect will this have on the data community?</i><p><i>(Update: #1 on</i> …

Under the Hood: An Intro to Kubernetes Architecture

A 101 on Kubernetes Components and How They All Work TogetherIf you’re making the move to containers, you’ll need a container management platform. …

DevOps

LogDevice: a distributed data store for logs

A log is the simplest way to record an ordered sequence of immutable records and store them reliably. Build a data intensive distributed service and …

How Does a Database Work?

• What format is data saved in? (in memory and on disk)<br>• When does it move from memory to disk?<br>• Why can there only be one primary key per table?<br>• How does …

Databases

Harmonize, Query, and Visualize Data from Various Providers using AWS Glue, Amazon Athena, and Amazon QuickSight | Amazon Web Services

Have you ever been faced with many different data sources in different formats that need to be analyzed together to drive value and insights? You …

The Roadmap to Becoming a DevOps Professional — From Server to Serverless

If you are interested in discovering our new courses, register using this form, get your discount coupon and we will be sharing interesting stuff …

Docker vs. Kubernetes vs. Apache Mesos: Why What You Think You Know is Probably Wrong

There are countless articles, discussions, and lots of social chatter comparing Docker, Kubernetes, and Mesos. If you listen to the …

Neural Networks: Problems & Solutions

Though the concept of artificial neural network has been in existence since the 1950s, it’s only recently that we have capable hardware to turn …

How I Built a Fully Functional Deep Learning Neural Network Chatbot Platform (NLU Engine) In Under…

For the last year or so I have been working on a number of Artificial Intelligence programs, covering computer vision and natural linguistics among …

Machine Learning

Go's work-stealing scheduler

Go scheduler’s job is to distribute runnable goroutines over multiple worker OS threads that runs on one or more processors. In multi-threaded …

Microservices

Deep Learning #4: Why You Need to Start Using Embedding Layers

And how there’s more to it than word embeddings.<p><i>This post is part of a series on deep learning. Checkout the other parts here:</i><p>Setting up AWS & Image …