Hadoop Data Scientist

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Hadoop becomes the key to opening big data

November 2013 22-23rd, as the only large-scale industry event dedicated to the sharing of Hadoop technology and applications, the 2013 Hadoop China Technology Summit (Chinese Hadoop Summit 2013) was held at four points by Sheraton Beijing Group Hotel.   Nearly thousands of CIOs, CTO, architects, IT managers, consultants, engineers, enthusiasts for Hadoop technology, and it vendors and technologists engaged in Hadoop research and promotion will be involved in a range of industries from home and abroad. Had ...

San Jose Hadoop Summit 2014 points

In the era of data-king, the ability of data mining has become one of the important indexes to measure the competitiveness of enterprises. How to make use of the common large data platform Hadoop, how to choose a suitable enterprise business of the Hadoop distribution has undoubtedly become the enterprise's necessary skills. In this costly exploration process, the top events in the large data industry have undoubtedly become an important cognitive and learning channel for each institution.   Here we go into Hadoop Summit 2014. The 2014 Hadoop summit was in the United States from June 3 to 5th ...

Six major misconceptions about Hadoop

So far, Hadoop and large data are actually synonyms.   But with the hype of big data rising, there's been a lot of misunderstanding about how Hadoop applies to big data. Hadoop is an Open-source software framework for storing and analyzing large datasets that can handle data distributed across multiple existing servers. Hadoop is designed to handle diverse, large-load data from mobile phones, e-mail, social media, sensor networks, and other different channels, and is often considered a large data operating system. And this is the first source of misunderstanding: 1.

SAS to provide groundbreaking large data analysis technology based on Hadoop

The world's leading business analytics software and service provider SAS is developing an interactive analysis programming environment that is based on SAS memory analysis technology and is suitable for open source framework Hadoop.   New software helps companies improve profitability, reduce risk, improve customer understanding, and create more business success opportunities by tapping large data faster to gain more accurate business insights. SAS? In-memorystatisticsforhadoop enables multiple users to simultaneously and interactively manage, mine and analyze data, build and compare models, and to ha ...

Constructing Internet Data Warehouse and business intelligence system with Sql-on-hadoop

Big data is now a very hot topic, SQL on Hadoop is the current large data technology development in an important direction, how to quickly understand the mastery of this technology, CSDN specially invited Liang to do this lecture for us. Using Sql-on-hadoop to build Internet Data Warehouse and business intelligence system, through analyzing the current situation of business demand and sql-on-hadoop, this paper expounds the technical points of SQL on Hadoop in detail, shares the experience of the first line, and helps the technicians to master the relevant technology quickly ...

Recent advances in SQL on Hadoop and 7 related technology sharing

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

Actual combat for Wang Liang solution sql-on-hadoop Difficult diseases

March 13, 2014, CSDN online training in the first phase of the "use of Sql-on-hadoop to build Internet Data Warehouse and Business intelligence System" successfully concluded, the trainer is from the United States network of Liang,   In the training, Liang shares the current business needs and solutions of data warehousing and business intelligence systems in the Internet domain, Sql-on-hadoop product principles, usage scenarios, architectures, advantages and disadvantages, and performance optimization. CSDN Online training is designed for the vast number of technical practitioners ready online real-time interactive technology training, inviting ...

Hadoop 2 finally comes out: Big data takes a giant step forward

The Apache Software Foundation has finally launched the latest Hadoop 2 data analysis platform.  Hadoop 2 enhances its computing engine by supporting the yarn data processing and service engine while adding highly available features to the Hadoop File System (HDFS). Although HDFs has been upgraded in some Hadoop distributions, such as Cloudera, and some companies such as pivotal have been providing yarn support for half a year, Apache's public release of this version will be ...

Don't talk about Hadoop, and 4 data pipelines to build practice

Today, the concept of big data has flooded the entire IT community, with a variety of products with large data technologies, and a variety of bamboo seen for processing large data tools like rain. At the same time, if a product does not hold the big data of the thigh, if an organization has not yet worked on Hadoop, Spark, Impala, Storm and other tall tools, will be the evaluation of obsolete yellow flowers. However, do you really need to use Hadoop as a tool for your data?   Do you really need large data technology to support the data type of your business processing? Since it is ...

Big Data Hot Professional pay list Hadoop talent top

As more and more companies begin to dive into the torrent of big data technology, market demand for IT professionals is rising.   Today, people with the ability to collect, organize, analyze and build data from different sources are on the rise for their careers. In the current digital age, the volume of data is much richer than any period in history, and many times this richness even becomes a heavy burden. Companies are starting to devote a lot of resources to cloud technology, mobile technology and social media. Combined with these emerging areas, coupled with the enterprise's own operation of the inevitable ...

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