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Sami Lehtinen

Discussion  - 
 
Here's why #Uber changed from #Postgres to #MySQL #postgresql . It seems that the #replication and #MVCC implementation differences were one of the primary reasons for them.
https://eng.uber.com/mysql-migration/
Uber Engineering explains the technical reasoning behind its switch in database technologies, from Postgres to MySQL.
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Kenna Jenifer

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Learn Hadoop, MapReduce and BigData from Scratch
A Complete Guide to Learn and Master the Popular Big Data Technologies
A Complete Guide to Learn and Master the Popular Big Data Technologies
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Here's our selection for today. We will continue to post articles from highly respected data scientists in the coming weeks
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Alan Brown

Discussion  - 
 
By Veena Pureswaran, IBM As the Internet of Things (IoT) surrounds us -- and the cost of embedding intelligence and connectivity gets cheaper -- companies are now focusing on how to successfully compete in the IoT. The IoT is moving beyond selling connected, intelligent products. In fact, it is more than selling [...]
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Siraj Raval

Discussion  - 
 
Generate Rap Lyrics using Machine Learning! https://www.youtube.com/watch?v=yE0dcDNRZjw 
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1001 Ebook

Discussion  - 
 
Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. The first edition of Statistical Analysis with Missing Data has been a standard reference on missing-data methods. Now, reflecting extensive developments in Bayesian methods for simulating posterior distributions, this Second Edition by two acknowledged experts on the subject offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing-data problems.

Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing-data mechanism and apply the theory to a wide range of important missing-data problems.

Get Free Ebook on www.1001ebook.net
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Anusha Thakur's profile photo
 
Hey! I came across about Analytics which measures to boosts your website traffic and makes intelligent marketing by providing the engagement of your website for each second.
http://www.ganitix.com/
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Pretty much every data rookie starts with Excel. It is a wonderful program for storing, cleaning and analysing (yes, you read that correctly) your data.
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AnalytixLabs

Discussion  - 
 
Newer technology paves way for varied operations.
Upgrade your skill set with highest-paying skills including Cassandra, Cloudera and MapReduce. Enroll Now!!
https://www.analytixlabs.co.in/courses
#analytics   #salarytrends   #highestpayingskills  
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Igor Schneider

Discussion  - 
 
Hi, i am wondering if there has been any work on classifying attributed trees or extracting features from attributed trees? Can you recommend some literature about it?
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James Goode

Discussion  - 
 
IBM fancies itself a cognitive computing enabler. So it’s ditching most of the vestiges from its legacy computer business and, for better or for worse, going all in. The 105-year-old Armonk, N.Y., company made news two weeks ago when it announced it would supply the brains behind a self-driving bus project planned for [...]
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Andrey Karpov

Announcements  - 
Articles discussing the results of analysis of open-source projects are a good thing as they benefit everyone: some, including project authors themselves, can find out what bugs lurk in a project; others discover for themselves the static analysis technology and start using it to improve their code's quality
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About this community

It's a home for anybody data-curious, whether your data is big, small, square or scruffy. If you think you can decide better, do better, or be better through data, you belong here! Before posting, please check out our guidelines below.

ECM TechNews

Discussion  - 
 
Companies dealing more and more with Big Data and see the needs for a forward-looking use of Big Data. In this case, certain trends in the data-race emerge.

http://ecmapping.com/2016/07/27/what-does-the-big-data-revolution-mean-for-us/
Companies dealing more and more with Big Data and see the needs for a forward-looking use of Big Data. In this case, certain trends in the data-race emerge.
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AnalytixLabs

Discussion  - 
 
According to a Forbes report of 2015, 90% of ‪‎global organizations‬ are expected to do medium to high levels of investment in Big Data Analytics. Enroll for Big data analytics certification course and experience accelerated growth in pay package.
http://bit.ly/WhyBigDataAnalytics
#bigdata   #bigopportunities   #globalorganizations  
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Natalia Khomyk

Discussion  - 
 
Does your CRM strategy have what engages millennials? Drop by and figure out some practices to apply.
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Get a better understanding on how to avoid one of the biggest challenges companies face today; hiring the right big data scientist.
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Trevor Butcher's profile photoSteve Sether's profile photo
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When supply is low, and demand is high the response of companies used to be investing in training employees. This still happens sometimes, but it's become more rare.

With everyone competing for the same, few, good people, you just simply need to create more good people.
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Ihsan Yassin

Announcements  - 
 
Hi, we are finalists for the Innovate Malaysia Design Competition 2016. We would like to ask for your help to like our video on Facebook to help us advance to the next stage. We will be competing against 40+ other teams from various Malaysian universities, so each and every one of your likes count!

Please spare 5 minutes of your time to like and share our video here:

https://m.facebook.com/dreamcatcher.asia/posts/1166263026766228

Thanks, and have a great day ahead!
MY201 - Wearable Healthcare with Smart Monitoring System. Intel MY201 (UiTM) "Like" in Facebook to cast your vote! Voting ends 4th August 2016 http://facebook.com/dreamcatcher.asia Follow us for the latest score! youtube.com.
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This article emphasizes the need for better data governance as a way to avoid the "trying to find the needle in a haystack of questionable data" problem. I have to agree though I am increasingly preferring the term data program governance (e.g., see "Thinking About 'Data Program Governance'" http://www.ddmcd.com/dpg.html)
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Data Base Administrators (DBAs) and Data Analysts (DAs) are in demand all around the world.  http://rdbms.ca
Database Analyst and Database Administrator job opportunities are available internationally.
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Taskworld Inc.

Discussion  - 
 
How #Analytics  & #Feedback  Helps Us Increase #Conversions  & Further Develop our #App  ?
Interview with Taskworld: How Analytics & Feedback Helps Us Increase Conversions & Further Develop our App
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One phrase in regular rotation in my elevator pitch is “data program governance.” What does that mean?

The individual words are straightforward:

DATA includes any kind of data such as numeric, financial, textual, image, or meta.
PROGRAM means an organized set of activities designed to accomplish a defined set of objectives.
GOVERNANCE means the program is planned and managed in an organized and sustainable way.
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