Hadoop-oriented hunk will drive large data analysis changes

Information points:

1. Real-time operation information software supplier Splunk recently announced the launch of Hunk:splunk Analytics for Hadoop,hunk is a full-featured, Hadoop-oriented comprehensive analysis platform that enables everyone in the enterprise organization to explore interactively, Analyze and visualize historical data in Hadoop.

2.Hunk is transforming the way business organizations analyze data in Hadoop. With the help of hunk, we can use the experience of Splunk over 6 and more than 000 customers to meet the challenge.

3.Hunk allows everyone to quickly and easily get the practical insights from raw, unstructured, and unstructured data in Hadoop. Hunk can run on Apache Hadoop and most major distributions, including distributions from Cloudera, Hortonworks, IBM, MAPR, and pivotal.

Recently, real-time operation information software supplier Splunk announced the launch of Hunk:splunk Analytics for Hadoop, this product will further promote large data analysis changes. Hunk is a full-featured, Hadoop-oriented comprehensive analysis platform that enables everyone in an enterprise organization to interactively explore, analyze, and visualize the historical data in Hadoop. Based on a patented virtual indexing technology that provides powerful self-help analysis capabilities, hunk does not require specialized programming techniques, fixed patterns, or expensive integrations. Hunk also provides developers with a broad space and a rich development environment, including an integrated network framework and a software development kit (SDK) for the world's most popular development languages. Download Hunk now and enjoy a 60-day free trial, not limited by the size of the data or the number of Hadoop nodes.

"By replacing outdated development processes with software that allows customers to deploy and provide insights in a matter of hours rather than weeks or months, hunk is transforming the way business organizations analyze data in Hadoop," says Sanjay Mehta, vice president of Splunk product marketing. Hadoop is an increasingly important technology, and many enterprise organizations are constantly storing large amounts of data in Hadoop. However, this often creates the problem that the traditional method for analyzing raw data in Hadoop is a fragile fixed pattern because the dataset becomes too large to migrate. These are the key reasons that our customer response will analyze the time, cost, and difficulty of exporting a Hadoop cluster. With the help of hunk, we can use the experience of Splunk over 6 and more than 000 customers to meet this unique challenge. ”

Monash Research President and DBMS2 editor Curt Monash said: "Splunk has long been aware of the importance of machine data, and built a focus on this data analysis stack, with a quasi real-time interface and on-demand mode processing time series data advantages. Now the Splunk analysis tool can also be used for machine data stored in Hadoop. By adding more performance data storage, Splunk further enhances its on-demand model. ”

More than 100 participants in the hunk beta have quickly explored, analyzed, and visualized data in Hadoop

More than 100 business organizations participated in the Hunk test project. Participants said the hunk installation was simple and was able to quickly analyze data in Hadoop.

Suzho, chief executive of Hitachi Solutions, said: "Hunk allows us to visualize the data in the Hadoop cluster quickly and easily, without the need for specialized technology and a long development cycle that allows business organizations to focus on innovation." We look forward to earning value for our customers. ”

"Hunk allows our corporate customers to achieve their big data goals," said IntelliLink, president and CEO of NTT data. Hunk accelerates the insights from Hadoop by achieving value faster than open source alternatives. Hunk also enables enterprise developers to develop large data applications using a rich development environment and tools. ”

Otto Group senior data architect Marcus Buda said: "Hunk provides a great opportunity for the Business Analytics team using Hadoop on the stack to improve the overall efficiency of everyone--the analyst can explore the data and visualize it faster, and the operations team can better monitor data security, Developers can better ensure data quality. If you work in an agile collaborative way, you'll realize a huge synergy--using hunk to monitor the Hadoop data pipeline, and using data-related knowledge to develop the business analysis dashboard. Combining Splunk software with MapReduce and Hadoop will enable you to build a transparent, sustainable competitive advantage within minutes for your business. ”

Fast analysis of data in Hadoop without programming or fixing patterns

Hunk allows everyone to quickly and easily get the practical insights from raw, unstructured, and unstructured data in Hadoop. Hunk can run on Apache Hadoop and most major distributions, including distributions from Cloudera, Hortonworks, IBM, MAPR, and pivotal. Product features and highlights include:

Full-featured comprehensive Analysis-explore, analyze and visualize data, create dashboards, and share reports from an integrated platform that supports Apache Hadoop or any of the Hadoop distributions you choose.

Rapid deployment-Simply point the hunk to your Hadoop cluster and start exploring the data immediately.

Interactive Search and Results preview-interact with the data, change the perspective in the road, and preview the results when the MapReduce task runs. Hunk's marching mode makes it easy to query data in Hadoop without having to know the issues or reports you need to deal with later.

Drag-and-drop analysis-through Splunk's patent-pending data model and the pivot interface that was first released in Splunk Enterprise 6, allows everyone to perform a powerful analysis.

A rich development environment for Hadoop-exploiting large data applications at the top of Hadoop data with the language and framework that developers know and favor. Hunk contains a standard network framework, documented rest APIs, and software development kits for C #, Java, JavaScript, Python, PHP, and Ruby.