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Data Science from Scratch: First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data scien

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Vormetric Partners with Hortonworks to Protect Enterprise Hadoop Big Data …
Vormetric enables application developers to encrypt sensitive data in order to have final granularity of security, Kamaraju said. “We offer our portfolio of solutions in the data security and protections space across a diverse set of applications for …
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Cloudera Deepens Integration of Spark with Hadoop
Cloudera, focused on big data and Apache Hadoop, has announced that it has further matured Apache Spark integration within Hadoop environments. Spark and Hadoop are both flourishing on the big data scene. To further expand the enterprise capabilities …
Read more on OStatic (blog)

Hadoop Application Architectures – Big data
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Spark speeds up SQL on Hadoop in Splice Machine 2.0
Also on InfoWorld: Apache Hive brings real-time queries to Hadoop as the perfect partner for an enterprise data warehouse. | Cut to the key news in technology trends and IT breakthroughs with the InfoWorld Daily newsletter, our summary of the top tech …
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Wikibon survey shows Hadoop making steady progress
The 2015 edition of the Wikibon Big Data survey shows companies making steady progress in adoption of Hadoop and associated technologies, writes Wikibon Big Data Analyst George Gilbert. In the 18 months since the last survey, the number of survey …
Read more on SiliconANGLE (blog)

Looking at Spark from a Hadoop Lens
Considering Hadoop and Spark is not an either-or question. Many companies use both frameworks, especially if there is an existing Hadoop installation. Spark is quite data agnostic as it can access data in HDFS, Cassandra, HBase, Hive, Tachyon, and any …
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IBM Secures Hadoop in Analytics Cloud
IBM has added end-to-end data protection to IBM Cloud Infrastructure for Analytics, its cloud-based offering designed to ease the significant investment burden required for implementing homegrown, on-premises Big Data solutions. Called Secure Hadoop …
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MapReduce information is generally associated with Google. But does this technology have just one implementation. Of course not! Map reduce can be used in various other ways. People have this believe that Map reduce is licensed by Google so its authority is entirely in its hand, which is actually not the case. The fact is that there are many independent Map reduce projects going on all over the world, some of them are working under commercial vendors, some of them from open source activities. This arrangement is same as that of relational database where SQL or MySQL are used together, even though from two different mediums.

Since this Map reduce function is developed for handling large data sets, this idea has great significance. This idea is well understood and accepted in the industry and developers are using it quite openly for their benefit. As a programmer now you don’t need to understand the internals of parallel processing. The MapReduce information floating over the web has proved that there are large numbers of projects which are running with the creation of libraries, protocols, codes etc. Due to all these facilities large chunk of data can be easily submitted and can be easily analyzed by the computers in order to find a better solution for future. Moreover, using the MapReduce technologies you cane easily get the most effective and accurate results fairly fast. This is indeed the need of the hour. Every business needs accurate figures, proper analysis and fast results for their business development and growth.  

If you want an efficient system for managing your large data sets, read a lot on Hadoop tutorials online and learn how they can be used in your running system to bring the best results. One thing to be aware while choosing a solution for your business – Not all large volumes of data or analysis are eminently suitable on MapReduce platform. It is very important to know here that these large data sets if can be broken into smaller parallel chunks can only be analyzed. As the smaller chunks can best fit in the MapReduce system, thus you should choose a function after proper analysis. Why to do wasteful investment?

If you need any further information on MapReduce and its benefits you should read online. Here you will find the best reasons and the most appropriate solutions for all your data management and other related issues. You will come to know the situations where relational database system succeeds and where MapReduce fails. 

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Exploding Kittens: A Card Game About Kittens and Explosions and Sometimes Goats

• Exploding Kittens is a card game for people who are into kittens and explosions and laser beams and sometimes goats.
• Family-friendly, party game for 2-5 players (up to 9 players when combined with any other deck).
• This is the most-backed project in Kickstarter history and all cards feature illustrations by The Oatmeal.
• Includes 56 cards (2.5 x 3.5 inches), box, and instructions.
• This box, like 99.99% of boxes, does not meow.

Exploding Kittens is a card game for people who are into kittens and explosions and laser beams and sometimes goats. In this highly-strategic, kitty-powered version of Russian Roulette, players draw cards until someone draws an Exploding Kitten, at which point they explode, they are dead, and they are out of the game — unless that player has a defuse card, which can defuse the Kitten using things like laser pointers, belly rubs, and catnip sandwiches. All of the other cards in the deck are used

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