big data solutions companies

tables, but a bucket of judgment field 0 or null value too many These null values are handled by a reduce, which is often slow GROUP BY The group by dimension spends little,An excessive number of values Reduce ash that handles a value often takes time Count Distinct Too many special values Reduce time for handling this special value 1.2 reasons:1), Key distribution is not uniform2), the characteristics of the business

Five Positions required by the big data team Author: chszs, reprinted with note. Blog homepage:Http://blog.csdn.net/chszs McKinsey believes that the big data team must have five positions: 1) Data hygienists-these people ensure that the

Content:1, why use sorted-based Shuffle;2, sorted-based shuffle actual combat;3, sorted-based Shuffle Insider;4, sorted-based shuffle deficiency;The most common shuffle approach, sorted-based shuffle, involves large-scale spark development, operational core issues, and the key to the answer.Must master this content.This lesson is a successful upgrade from Spark Junior to spark intermediate talent channel.A small level of large companies, the interview

measure cannot be effective, but this effort is necessary for us. From the software developer's point of view, most of the applications for data storage and analysis, at home, what they hear are business applications and developments, and the real problem is to create wealth, not to provide solutions to some of the most pervasive existential problems, to environmental ecology, geology, As well as disease a

;For spark machine learning and GRAPHX to master its principles and usage;Class Five: Doing a business-class spark projectComplete every aspect of spark through a complete and representative spark project, including project architecture design, technical profiling, development implementation, operations, and more, all in one of these stages and details, so you can easily face the vast majority of spark projects in the future.Class VI: Offering SPARK solutionsThoroughly grasp every detail of the

). So the KV store means that I have a bunch of key values that I can quickly get to the data bound to this key. For example, I use a social security number, can take your identity data. This action can be done with mapreduce, but it is possible to scan the entire data set. The KV store is dedicated to this operation, and all the save and fetch are optimized for

population_statistics WHERE city = 'guangzhou 'AND birthday = '2017-11-02 '; query the population of a city select count (total_count) FROM population_statistics WHERE city = 'guangzhou '; query the population of a day select count (total_count) FROM population_statistics WHERE birthday = '2017-11-02 '; The population of a city in a certain day may have thousands or even tens of thousands of data in the population_statistics table, while the statisti

needs the IT department to comb the business from three dimensions of business system, IT support and business management. Business System dimension covers ERP system, transaction system, order system, payment system, logistics system, supply chain system and other business data sources; Business support dimensions cover the performance data of IT infrastructures and networks and applications, such as comp

"Winning the cloud computing Big Data era" Spark Asia Pacific Research Institute Stage 1 Public Welfare lecture hall [Stage 1 interactive Q A sharing] Q1: Are there many large companies using the tachyon + spark framework? Yahoo! It has been widely used for a long time; Some companies in China are also using it; Q2:

rich solution to quickly integrate solutions to improve development efficiency.Spring boot makes the configuration simple, spring boot provides a rich starters, and the integration of mainstream open source products often requires simple configuration.Spring boot makes deployment simple, and spring boot itself launches the container, with just one command to start the project, and the combination of Jenkins and Docker Automation operations is easy to

Preface The company switched from browser games to mobile games. The company's data analysis needs to be designed for mobile games. Therefore, the original data analysis framework for browser games is not very suitable, on the one hand, mobile games and web games have different business logic, and on the other hand, they have changed the data magnitude, as well a

trend of forecasting risk development, the guidance of the next security construction and planning, is also a problem.As Dickens said, this is the worst of times, this is the best of times. The development of technology will also bring positive side. The advent of cloud-based security services has led to a gradual shift in the security approach from the early Warning Center to the information center. Security infrastructure components can respond to each other, extracting intelligence from the

Infrastructure Department-platform Development team Lead software Engineer Description of responsibilities : 1. Enterprise-class Big Data platform architecture planning and design, to improve the storage and computing capacity of the platform, lead the team to complete technical solutions; 2. Large data base compon