Programmers want to play big data: 12 tools to know

Whether it's building large data applications or just trying to get a little bit of inspiration from the development of mobile apps, programmers now need data analysis tools more than ever. This is definitely a good thing, so many companies from the needs and skills of programmers to build some data analysis tools. Gigaom's journalist, Derrick Harris, enumerated 12 tools:

Over the past few years, Derrick has seen a lot of startups, projects, and development tools, all of which are designed to bring advanced data analysis capabilities to programmers. Sometimes programmers use simple scripts to develop powerful displays, or use a simpler way to deliver data in the http://www.aliyun.com/zixun/aggregation/17799.html > Development process , Derrick believes this is a very meaningful development trend.

In the world of cloud computing and mobile applications, creating a new career around a simple application is much easier than ever. Even in large companies, developers are struggling to sell applications or to promote the monetization of applications. However, in the application development process, developers may need to add some data flow, so that the application of the "fire" up.

Needless to be sure, most programmers work around the overwhelming code rather than the data stream. So programmers may need a little help, and Derrick a list of 12 tools for developers (alphabetically), but he says there may be some good options missing, and if attentive readers find out, leave a message in the comments.

1. Bitdeli

Bitdeli was founded in San Francisco this November. It can measure the metrics of any application that uses Python scripts, Ville Tuulos, co-founder and CEO, told Derrick that scripts can be simple or complex--even in the future to machine learning. But compared with "heavyweight" Hadoop, Bitdeli is considered a lightweight ruby.

2. continuuity

Continuuity is the culmination of Jonathan Gray, the former Yahoo chief Cloud architect Todd Papaioannou and the Facebook HBase engineer, Continuuity wants all companies to be like Yahoo, Like Facebook. The team created a large data tool that simplifies the complexities of Hadoop and hbase clusters and includes a series of development kits designed to help programmers develop large data applications that use Hadoop technology to allow developers to deploy, expand, and manage large data applications both inside and outside the firewall. Todd Papaioannou, co-founder and chief executive of the company, said that as a start-up, Continuuity was trying to lift the tide of the next wave of large data applications, and the tools offered by the company could greatly improve the scalability of different parts and phases of software in development.

3. Flurry

Flurry is the benchmark in mobile applications statistics and analysis, and it has a revenue of $100 million a year because of its unique advantages in the industry. Flurry has a very comprehensive function, not just to help developers build mobile applications, it also helps developers analyze all of the data, resulting in greater benefits. In fact, the data support the company's advertising network, they can help developers push accurate ads to the users in need. But purely from the mobile Application data statistics function, flurry is definitely in the leading position. Its function module is set up reasonably, the analysis dimension is comprehensive, and the analysis flow is easy to understand.

(Responsible editor: The good of the Legacy)