Large data Application Select SQL or NoSQL?

One of the key decisions that companies that perform large data [note] projects face is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters.   Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couch ...

Why does Hadoop mean a lot to you?

Hadoop is widely used in large data processing applications to benefit from its own natural advantages in the areas of extraction, distortion and loading (ETL). The distributed architecture of Hadoop, where the large data processing engine is as close to storage as possible, is relatively appropriate for batch operations such as ETL, because batch results like this can go directly to storage. Hadoop's MapReduce functionality enables you to break a single task and send a fragmented task (MAP) to multiple nodes before loading in a single dataset ...

Big Data with Hadoop: It's not easy to equate

March 14, IDC announced the recent release of the "China Hadoop MapReduce Ecosystem Analysis" Report, the report pointed out that in China, Hadoop application is from Internet enterprises, gradually expand to the telecommunications, finance, government, medical these traditional industries. While the current Hadoop scenario is primarily based on log storage, query, and unstructured data processing, the sophistication of Hadoop technology and the improvement of ecosystem-related products include the increasing support of Hadoop for SQL, as well as the mainstream commercial software vendors ' Hadoo ...

Change of mind: Big Data doesn't mean Hadoop

BEIJING, March 17 (IDC)--in China, Hadoop applications are being extended from internet companies to telecoms, finance, government and healthcare industries, according to the report, published recently in the company's China Hadoop mapreduce ecosystem analysis. While the current Hadoop scenario is primarily based on log storage, query, and unstructured data processing, the sophistication of Hadoop technology and the improvement of ecosystem-related products include the increasing support of Hadoop for SQL, as well as the mainstream commercial software vendors ' had ...

Best choice for large data applications: SQL or NoSQL?

One of the key decisions faced by enterprises that perform large data projects is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters.   Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couchba ...

Large Data Hadoop Solution

According to the latest Forrest report, many companies are trying to tap into the vast amounts of data they have, including structured, unstructured, semi-structured, and binary data, and explore the use of large data. The following are some of the conclusions of the report: Most companies estimate that they only analyze 12% of the existing data and the remaining 88% are not fully utilized. The lack of a large number of data islands and analytical capabilities is the main cause of this situation. Another problem is how to judge whether data is valuable or not. Especially in the big data age, you have to collect and store this data. One...

IDC: Big Data doesn't equal Hadoop China's Hadoop ecosystem needs to be perfected

In China, Hadoop applications are expanding from internet companies to telecoms, finance, government, and healthcare, according to the IDC's recently released MapReduce ecosystem analysis of China's Hadoop. While the current Hadoop scenario is dominated by log storage, query, and unstructured data processing, the sophistication of Hadoop technology and the refinement of ecosystem-related products, including the increasing support of Hadoop for SQL, and the growing support for Hadoop by mainstream business software vendors, Yes...

Large Data features PPV class

Users of large data analysis have large data analysis experts, there are also ordinary users, but data analyst training both for large data analysis of the most basic requirements is visual analysis, because visual analysis can visually present large data characteristics, and can be very easy to be accepted by the reader, as http://   Www.aliyun.com/zixun/aggregation/12897.html "> Look at the picture and speak as simple and clear. The core of the theory of large data analysis is data mining algorithm, all kinds of data digging ...

Hadoop is a development tool for large data development needs

The value contained in large data has been a driving force for the developers of Hadoop and related tools to motivate themselves when they encounter difficulties.   A survey by a large data and service provider, Wikibon, says many companies ' technicians often lack training to effectively use complex hadoop. Jonathan Gray, founder and CEO of Continnuity, said the training was not designed to produce many Hadoop experts, and that companies should focus on developing better tools to help developers ...

How do I make Hadoop a big data analysis with R language?

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective.   The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

Tips for businesses using Hadoop to handle large data

As a model of large data technology, Hadoop has always blessed and cursed the enterprise that uses large data. Hadoop is powerful, but very complex, which makes many companies prefer to wait for something easier to come out and launch big data projects. The wait is over. Hadoop is making steady progress, with significant ease-of-use enhancements from vendors such as Hortonworks and Cloudera, which have reduced the learning curve of Hadoop by half. Companies are increasingly embracing large data and Hadoop to migrate from basic ETL workloads ...

Java large data processing-large numbers of datasets to Excel

In Java Web Development, it is often necessary to export a large amount of data to http://www.aliyun.com/zixun/aggregation/16544.html ">excel, using POI, JXL directly generate Excel,   It is easy to cause memory overflow.   1, there is a way, is to write data in CSV format file.   1 CSV file can be opened directly with Excel. 2 Write CSV file efficiency and write TXT file efficiency ...

SQL Server introduces Hadoop large data processing capabilities

Microsoft customers running SQL Server will gain real big http://www.aliyun.com/zixun/aggregation/14345.html > Data processing capabilities through the introduction of Hadoop. Microsoft has released early-stage code that allows customers to access the Java architecture to SQL Server 2008 R2, SQL Server Parallel Data Warehouse, and the next generation of Microsoft ...

Java Large data processing

Take the XX data file from the FTP host.   Tens not just a concept, represents data that is equal to tens of millions or more than tens of millions of data sharing does not involve distributed collection and storage and so on. Is the processing of data on a machine, if the amount of data is very large, you can consider distributed processing, if I have this experience, will be in time to share.   1, the application of the FTP tool, 2, tens the core of the FTP key parts-the list directory to the file, as long as this piece is done, basically the performance is not too big problem. You can pass a ...

Java in the processing of large data, some tips

As we all know, Java in the processing of data is relatively large, loading into memory will inevitably lead to memory overflow, while in some http://www.aliyun.com/zixun/aggregation/14345.html ">   Data processing we have to deal with massive data, in doing data processing, our common means is decomposition, compression, parallel, temporary files and other methods; For example, we want to export data from a database, no matter what the database, to a file, usually Excel or ...

Why do many companies have large data-related businesses based on Hadoop solutions?

The most important reason to choose Hadoop is that three points: 1, can solve the problem, 2, low cost, 3, mature ecological circle.   One, Hadoop helps us solve what problems both domestic and foreign large companies have an insatiable thirst for data, and will do everything they can to collect all the data, because the asymmetry of information is constantly being made available, and a great deal of information can be obtained through data analysis. The source of the data is very much, the data format is more and more complex, over time data ...

Big Data new skills Hadoop is expected to be high income?

The open source Apache Hadoop project has been a hot spot, and it's good news for it job seekers with Hadoop and related skills. Matt Andrieux, head of technical recruiting at San Francisco's Riviera company, told us that demand for Hadoop and related skills has been on a straight trend over the past few years. "Our analysis shows that most recruiters are startups, and they are recruiting a lot of engineers," Andrieux said in an e-mail interview.

Large Data processing interview problem summary

1. Given a, b two files, each store 5 billion URLs, each URL accounted for 64 bytes, memory limit is 4G, let you find a, b file common URL? Scenario 1: The size of each file can be estimated to be 50gx64=320g, far larger than the memory limit of 4G. So it is not possible to fully load it into memory processing.   Consider adopting a divide-and-conquer approach. s traverses file A, asks for each URL, and then stores the URL to 1000 small files (recorded) based on the values obtained. This ...

Oracle Large Data Processing

Oracle defines a BLOB field for storing binary data, but this field does not hold true binary data, can only Gencun a pointer to the word, and then places the data in the LOB segment of Oracle to which the pointer points, and the LOB segment is part of the database's internal table.   Therefore, before manipulating an Oracle blob, the pointer (the locator) must be obtained before the BLOB data can be read and written. How do I get a blob pointer in a table? You can insert an empty B in a table using the INSERT statement first ...

Methodology of logical regression training model under large data

In today's Society of data inflation, the value of http://www.aliyun.com/zixun/aggregation/13584.html ">" is becoming more and more prominent. How to effectively excavate the effective information in massive data has become a common problem in every field. Based on the actual demand of the Internet enterprises, the technology companies have started to acquire the information contained in the massive data by using the algorithms of machine learning, data mining and artificial intelligence, and have achieved good results. ...

Total Pages: 265 1 .... 89 90 91 92 93 .... 265 Go to: GO
Tags Index:

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.