Big Data Open Source Tools

Open source code platforms for large data are becoming popular. 　　In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

Open source Hotspot Inventory 1984, Richard Stallman launched GNU and Free Softwarefoundation, which has been open source for more than 28 years. From the bottom of the operating system to advanced desktop applications, there are open source footprint. Linux, which is especially open source operating system, is a controversial issue and is subject to many commercial attacks. 　　Many people like to put open source and business together, to accuse Open source is how "irregular", "energy consumption", "instability" and so on, especially Microsoft. Talk about ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

With the maturity of large data and predictive analysis, the advantage of open source as the biggest contributor to the underlying technology licensing solution is becoming more and more obvious. Now, from small start-ups to industry giants, vendors of all sizes are using open source to handle large data and run predictive analytics. 　　With the help of open source and cloud computing technology, startups can even compete with big vendors in many ways. 　　Here are some of the top open source tools for large data, grouped into four areas: data storage, development platforms, development tools, and integration, analysis, and reporting tools. Data storage: Apache H ...

Once upon a time, social networks were growing quietly and becoming an integral part of people's work and life. Facebook is a typical representative of social networking today. Facebook, the leader of social networking sites, was initially designed to facilitate communication between college dormitories and later developed into a social network of more than 900 million users and ranked first in the world. According to IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. Facebook base ...

A, virtualization virtualization refers to the ability to simulate multiple virtual machines on the same physical machine. Each virtual machine has a separate processor, memory, hard disk, and network interface logically. The use of virtualization technology can improve the utilization of hardware resources, so that multiple applications can run on the same physical machine with each other isolated operating environment. There are also different levels of virtualization, such as virtualization at the hardware level and virtualization at the software level. Hardware virtualization refers to the simulation of hardware to obtain a similar to the real computer environment, you can run a complete operating system. In the hardware virtual ...

Over the past 12 months, big data waves have swept across the globe. Even the largest institutions lack the infrastructure, tools, and methodologies that directly lead to a lack of ability to effectively extract critical data from large data and transform it into insights into business. But the world of big data is changing today. For all types and sizes of organizations, massive open source software and low-cost hardware combinations greatly reduce the threshold for large data processing systems. Simply put, open source solutions allow organizations to grow their clusters to tens of thousands of servers in a short period of time to better support large data suits ...

If cloud computing and large data are two important trends in current IT development, open source can be said to be an important booster for these two trends, after all, a significant part of innovation comes from the open source community. In 2012, as the only pure open source company to achieve 1 billion U.S. dollar sales in the industry, Red Hat has proven its allure and potential in cloud computing and large data times with its own outstanding performance. How will red Hat continue to use open source to change the future of big data and cloud computing in 2013? What new surprises will the new year bring to the users of this open source company? This article combs the 201 ...