BIG DATA TERMS EVERYONE SHOULD KNOW

75 BIG DATA TERMS EVERYONE SHOULD KNOW Published by  RAMESH DONTHA · JULY 21, 2017 on Dataconomy.com  This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list.  Just to give you a quick recap, I covered the following terms in my first article: Algorithm, Analytics, Descriptive analytics, Prescriptive analytics, Predictive analytics, Batch processing, Cassandra, Cloud computing, Cluster computing, Dark Data, Data Lake, Data mining, Data Scientist, Distributed file system, ETL, Hadoop, In-memory computing, IOT, Machine learning, Mapreduce, NoSQL, R, Spark, Stream processing, Structured Vs. Unstructured Data. Now let’s get on with 50 more big data terms. Apache Software Foundation Read More …

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DATA SCIENCE SKILLS, AND HOW TO LEARN THEM

TOP 10 DATA SCIENCE SKILLS, AND HOW TO LEARN THEM Published by  EILEEN MCNULTY · DECEMBER 25, 2014 on Dataconomy.com One of most popular posts this year came from Ferris Jumah, a data scientist at LinkedIn, who mapped the most popular skills of data scientists by scraping LinkedIn profile data. One of the common comments amongst data scientists who came across this post- as with most of our posts focused around data science skillsets- was “Surely, you can’t expect data scientists to have all these skills?” Naturally, we don’t- every data science role involves a particular comibination of some of the skills, and anyone who had mastered all of the programming languages listed alone would be some sort of computing demi-God. Read More …

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MongoDB – Beyond the Basics 1: Storage Engines

Beyond the Basics 1: Storage Engines Beyond the Basics 1: Storage Engines April 20, 2017 In the first webinar of our Beyond the Basics series Joe Drumgoole, Director of Developer Advocacy EMEA at MongoDB, talked about storage engines. The storage engine is responsible for managing how data is stored, both in memory and on disk. MongoDB supports multiple storage engines, as different engines perform better for specific workloads. Watch the webinar recording to understand: What a storage engine is How to pick a storage engine How to configure a storage engine and a replica set MongoDB World for Giant IdeasJune 20-21 Chicago, IL MongoDB World is where the world’s fastest growing database community comes to connect, explore, and learn. Join Read More …

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BIG DATA 101: INTRO TO PROBABILISTIC DATA STRUCTURES

BIG DATA 101: INTRO TO PROBABILISTIC DATA STRUCTURES CHRISTOPHER LOW · APRIL 17, 2017 on Dataconomy.com Oftentimes while analyzing big data we have a need to make checks on pieces of data like number of items in the dataset, number of unique items, and their occurrence frequency. Hash tables or Hash sets are usually employed for this purpose. But when the dataset becomes so enormous that it cannot fit inside the memory all at once, we need to use special kinds of data structures known as Probabilistic Data Structures. Streaming applications usually require data processing in one pass and then incremental updates. Fortunately, probabilistic data structures fit that processing model very well. Such data structures ignore collisions but errors are controlled Read More …

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How to Learn Data Science – Infographic

Learn Data Science – Infographic Published October 18th, 2016 in Learning Data Science on Datacam.com by After being dubbed by Harvard Business Review as “sexiest job of the 21st Century” in 2012, Glassdoor named it “the best job of the year” for 2016.However, the stance towards data scientists has changed considerably over those four years: in 2012, the majority of articles focused on trying to explain what a data scientist is and what they do exactly. Back then, a short search on Google on the words “How to become a data scientist” showed that the concept had different meanings to different people. In 2016, this search still gives you a variety of articles and a broad range of opinions on Read More …

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Online Big Data Courses

Data Science 101 10 Online Big Data Courses Eileen McNulty · September 25, 2014 on Dataconomy.com 22 Comments 10 68.2k 17 The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings: If you already have the skill set to enter the world’s sexiest profession, it’s a great time to be alive. For those with enough money and expendable time, there’s always the option to go back to school. But for the rest of us, hope is not lost; thanks the rise of Read More …

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How to use Google Analytics

Google Analytics: How to Analyze the Behavior of Your Site Visitors Published by Michael Stelzner on March 31, 2017 on socialmediaexaminer.com   Do you want to learn more about how people use your website? Wondering how the Behavior reports in Google Analytics can help? To explore how to navigate the Behavior section of Google Analytics, I interview Andy Crestodina. More About This Show The Social Media Marketing podcast is an on-demand talk radio show from Social Media Examiner. It’s designed to help busy marketers and business owners discover what works with social media marketing. In this episode, I interview Andy Crestodina, author of Content Chemistry and co-founder of Orbit Media. Andy specializes in content marketing and Google Analytics. Andy explains how Read More …

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How to Create the Perfect Data Dashboard

6 Tips to Create the Perfect Data Dashboard Posted in Dashboard Examples  on February 1, 2017 by Ben on cyfe.com Get started with Cyfe now! It’s FREE!   So you’ve taken the plunge and you’re diving into setting up a data dashboard (and hopefully several) to track your business, operations, financial, and/or marketing metrics and KPIs. Your problem now is that you’ve got SO MANY OPTIONS! We understand. In today’s digital world, we’ve got an information overload. We can track almost anything so thinking about adding all of that to a data dashboard is a little overwhelming. The trick is being efficient, targeted, and organized in your dashboards. Let’s dive into 6 tips that we’ve developed to help you report Read More …

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What is the difference between a data scientist and a business intelligence analyst?

Please read this free resource => O’Reilly: Analyze the Analyzers What is the difference between a data scientist and a business intelligence analyst? They sound like they’re pretty much identical except in title. The flashier SV startups like to call it “data scientist” and the e-commerce, old commerce, etc. companies like to call it “business intelligence.” Is it true?   Published by Jason T Widjaja, Master of Business Analytics, Consulting Manager Written 1 Dec 2015 on quora.com Earlier this year, I was part of a research team that compiled the 2015 Skills & Salary Report for the IAPA (Institute of Analytics Professionals Australia). I will attempt to answer this question generally to provide some intuition, then share a bit of Read More …

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