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Category: Data Resources & Tools

SlideShow | 19 In-memory Databases for Big Data Analytics (Gartner)

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Amid the big data boom, the in-memory database market will enjoy a 43 percent compound annual growth rate (CAGR) – leaping from $2.21 billion in 2013 to $13.23 billion in 2018, predicts Markets and Markets, a global research firm Gartner.

What’s driving that demand? Simply put, in-memory databases allow real-time analytics and situation awareness on “live” transaction data – rather than after-the-fact analysis on “stale data,” notes a recent Gartner market guide. Here are 19 in-memory database options mentioned in that Gartner market guide. Read More

Spotlight | Domino Data Lab – A Data Science Game Changer!

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SPOTLIGHT | Read about Domino Data Labs and how its platform can both vastly improve your data science team’s speed and capability converting data models to production code, but also save you big time on expensive engineers in short supply…more! Read More

Attention Data Scientists & Analysts… Mode Just Got Way Better!

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Mode’s public side has been called the “Github for Data Science”, especially for sharing open source SQL queries and data sets. The corporate version has been a hit with fast growing, data-centric companies who prefer MODE over building their own analytics tools.

Read about the NEW Mode workflow and features launched this weekend and how data analysts are using it READ MORE

Guide | “Which freaking database should I use”? |Infoworld.com

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Andrew C. Oliver of InfoWorld.com writes, “There are several types of NoSQL databases and rational reasons to use them in different situations for different datasets. It’s much more complicated than tech industry marketing nonsense like “NoSQL = scale.”

Here is a guide to database landscape as of 2014. Read More

LAUNCHED MODE | Data Scientists & Analysts! MODE is now LIVE!

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IT’S LIVE! San Francisco data startup Mode Analytics has finally revealed its cloud-based site/app for helping people inside companies efficiently analyze data together and easily share their findings.

Mode, a company that calls itself the “Github for Data Analysis” and will be an online repository for data science/analytics work. Read More…

Video: Machine Learning Loves Hadoop

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Watch this pre-recorded webinar to learn what Machine Learning is, why you should use machine learning algorithms, what the common challenges of machine learning are, and how Cloudera’s enterprise data hub supports machine learning. More…

10 “R” Packages Every Data Scientist & Analyst Should Be Aware Of

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Data Scientist, Drew Conway calls them “10 reasons to always start your analysis in R”. They’re all very useful R packages that every data scientist/analytics should be aware of. Read More…

Top 5 | Enterprise Hadoop Stories of 2013

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The editors at SearchDataManagement.com have reviewed their most popular Hadoop-related stories of 2013, and taken together, they form a narrative of Hadoop in 2013. The content followed the path of Hadoop and related software tools, such as HBase, as they gained footholds in the enterprise.

Read about the Top 5 Enterprise Hadoop Stories here by Jack Vaughan Read More

Videos | Most Popular For Learning R

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Bringing back to the fore one of the most popular posts! With R being one of the most popular programming languages for analytics, we wanted to provide additional free resources to those who are interested in learning more about it. Here are 2 of the most popular introductory videos to learn R. Read More