"Thanks for sharing your thoughts on BIG vs. small data. The key here is to know which one is needed for the business problem to be addressed. Based on my experience, I've seen a few companies jump on the Big Data wagon only to realize…"
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Joe Alfar commented on Jennifer Livingston's blog post How Big Data is Becoming Smaller Than Small DataCritical Skills to Bridge the Gap Between Software Development and Data Science
Software Development and Data Science While on the job, data scientists are often required to perform a large set of tasks that they are taught how to do through their education and formal training. Despite this, many data scientists are not taught the fundamental aspects of software development. This is an important flaw that can often lead to problems in communication with the software…See More
How Big Data is Becoming Smaller Than Small Data
If you've been struggling to get useful results from big data, you're not alone. The buzz has been that any company not doing analytics is behind the times. But big data even has been a challenge in itself. Perhaps small data is the answer. What is Big Data? This refers to the huge amounts of data being collected from many sources. Data is coming in from POS transactions, barcode…See More
How Big Data is Becoming Smaller Than Small Data
If you've been struggling to get useful results from big data, you're not alone. The buzz has been that any company not doing analytics is behind the times. But big data even has been a challenge in itself. Perhaps small data is the answer. What is Big Data? This refers to the huge amounts of data being collected from many sources. Data is coming in from POS transactions, barcode…See More
Software development through data science
The different tasks that data scientists may hold are very diverse, but no matter what niche a data scientist fills in their line of work, being specialized in certain technical areas of software development is extremely important. The following skills are some of the most important techniques that a data scientist will need to have in order to perform software development properly. Statistics knowledge Before anything else, a data scientist can benefit very much from having a strong…See More
Software development through data science
The different tasks that data scientists may hold are very diverse, but no matter what niche a data scientist fills in their line of work, being specialized in certain technical areas of software development is extremely important. The following skills are some of the most important techniques that a data scientist will need to have in order to perform software development properly. Statistics knowledge Before anything else, a data scientist can benefit very much from having a strong…See More
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Jennifer Livingston's Blog
How Big Data is Becoming Smaller Than Small Data
Posted on February 23, 2017 at 9:00pm 1 Comment 2 Likes
If you've been struggling to get useful results from big data, you're not alone. The buzz has been that any company not doing analytics is behind the times. But big data even has been a challenge in itself. Perhaps small data is the answer.
What is Big…
ContinueSoftware development through data science
Posted on August 29, 2016 at 8:00pm 0 Comments 1 Like
The different tasks that data scientists may hold are very diverse, but no matter what niche a data scientist fills in their line of work, being specialized in certain technical areas of software development is extremely important. The following skills are some of the most important techniques that a data scientist will need to have in order to perform software development properly.
Statistics knowledge
Before anything else, a data…
Critical Skills to Bridge the Gap Between Software Development and Data Science
Posted on April 18, 2016 at 9:00am 0 Comments 0 Likes
Software Development and Data Science
While on the job, data scientists are often required to perform a large set of tasks that they are taught how to do through their education and formal training. Despite this, many data scientists are not taught the fundamental aspects of software…
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