udacity big data

First, prefaceBig Data technology has been going on for more than 10 years, from birth to the present. The market has long been a company or institutions, to the vast number of financial practitioners, "brainwashing" big data the future of good prospects and trends. With the user's deep understanding of big

　　The combination of cloud computing and big data can be said to be a match. Big Data requires a flexible computing environment, which can be quickly and automatically scaled to support massive data and infrastructure. But whenever we talk about cloud computing, we can't avo

Original: http://zhuanlan.zhihu.com/donglaoshi/19962491 Fei referring to the Big data analytics platform, we have to say that Hadoop systems, Hadoop is now more than 10 years old, many things have changed, the version has evolved from 0.x to the current 2.6 version. I defined 2012 years later as the post-Hadoop platform era, not without Hadoop, but with other sele

Transferred from: http://www.jdon.com/bigdata/whatisbigdata.html----------You may ask what is big data, which is almost the latest trend in every business area? Is it just hype?In fact "big data" is a very simple term-it just says-a very large data set. How

Today, massive volumes of information are filled with the IT world. data shows that in the next decade, data and content around the world will increase by 44, 80% of which are unstructured data. The advent of the big data era brings challenges and opportunities to enterprise

This article begins with the understanding and thinking of Victor's predecessor "The Big Data age". The wave of big data has been hitting China's land in a wave of waves, all walks of life are actively exploring opportunities for integration and development with this technology, so we are lucky to witness and witness t

Big data in the next few years development of the key direction, big Data strategy has been in the 18 session v Plenary as a key strategic direction, China in the big data is just beginning, but in the United States has produced h

Spark's main programming language is Scala, which is chosen for its simplicity (Scala can be easily used interactively) and performance (static strongly typed language on the JVM). Spark supports Java programming, but for Java there is no such handy tool as Spark-shell, other than Scala programming, because the language on the JVM, Scala and Java can interoperate, the Java programming interface is actually the encapsulation of Scala.Big data in the ne

Big Data is in the Scala language, and Java is somewhat different and more powerful than Java, eliminating a lot of tedious things, Scala's interface is defined by trait, different from the Java interface, trait can have abstract methods can also have non-abstract methods. Methods in Scala can also be defined, which is never in Java.Big data in the next few years

Shifei: Hello, my name is Shi fly, from Intel company, Next I introduce you to Tachyon. I'd like to know beforehand if you have heard of Tachyon, or have you got some understanding of tachyon? What about Spark?First of all, I'm from Intel's Big Data team, and our team is focused on software development for big data and

Content:1, Spark performance optimization needs to think about the basic issues;2, CPU and memory;3. Degree of parallelism and task;4, the network;========== Liaoliang daily Big Data quotes ============Liaoliang daily Big Data quotes Spark 0080 (2016.1.26 in Shenzhen): If the CPU usage in spark is not high enough, cons

Using Big Data to understand " speed and passion " car rulesWhen you're drooling over the traffic in speed and passion, have you ever wondered how many cars there are in this movie? Which one is the most? What's the best car?......　　 650) this.width=650, "alt=" with big data to understand "speed and passion

according to the rapid development in the country, and even the support of the national level, the most important point is that our pure domestic large-scale data processing technology breakthrough and leap-forward development. As the Internet profoundly changes the way we live and work, data becomes the most important material. In particular, the problem of data

Is big data equivalent to a data warehouse?As mentioned above, whether commercial banks have big data capability should be judged by the specific utility of data and data analysis syste