Large data processing expert SAP Hana,sap HANA ten mistaken ideas

In today's big data age, if you don't know SAP HANA, it just means you're out. SAP Hana is a hardware and software combination, providing High-performance data query function, users can directly to a large number of real-time business data query and analysis, without the need for business data modeling, aggregation and so on. For some of the SAP Hana heard but not very understanding of customers, there will be a literal understanding of the misunderstanding, the following we will come together to analyze the top ten SAP HANA: 1, the role of the database platform wrong view: The number of memory ...

POJ1002: The first step in large data processing is I/O

This problem is not difficult, but http://www.aliyun.com/zixun/aggregation/20522.html "> Test data (http://www.ntnu.edu.tw/acm/ProblemSetArchive /b_us_eastcen/1999/index.html) Very savage, there are several 1 million lines of test data. Initially did not notice the 2000 millisecond limit, the result of the first version of the program written a lot ...

From theory to practice analysis, sweep 13 Open source Java large data processing tools

What is big Data? You may ask; More importantly, why is it the latest trend in almost all business areas? Because in fact "big data" is a very simple term-it is exactly what it says-a very large dataset. How big is it? The exact answer is "as big as you can imagine"! How can this dataset be so large? Because the data could come from anywhere: RFID sensors to collect traffic data, sensors to collect weather information, GPRS packets from mobile phones, social media sites, digital photos and videos, Online purchase transaction Record your ...

Inventory Nine popular open source large data processing technology

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

Trends in large data-processing technology-introduction of five open source technologies

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

Large Data processing technology--python

Python handles large data, and friends who need it can refer to it. The recent big data competition is very hot, I did not learn how long python, want to try to write, just realize the data processing, mainly used dict,list,file knowledge. Also have to say, I also use MATLAB to achieve, but run to almost two minutes, but the python seconds processing, there is wood, it shows Python processing text function powerful. Data format in file: ClientID shopingid num Date ...

Highly recommended! Large collection of top-level open source tools in large data areas

With the maturity of large data and predictive analysis, the advantage of open source as the biggest contributor to the underlying technology licensing solution is becoming more and more obvious. Now, from small start-ups to industry giants, vendors of all sizes are using open source to handle large data and run predictive analytics.   With the help of open source and cloud computing technology, startups can even compete with big vendors in many ways.   Here are some of the top open source tools for large data, grouped into four areas: data storage, development platforms, development tools, and integration, analysis, and reporting tools. Data storage: Apache H ...

Cassandra and HBase big Data versus who's the winner?

In the new field of Big data, BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data.   If you know this well, your family is familiar with the two Apache database projects of Cassandra and HBase. Google first bigtable in a 2006 study. Interestingly, the report did not use BigTable as a database technology, but ...

Large data processing: a real-time computing architecture and algorithm for percentile

In today's era, data is no longer expensive, but getting value from massive data becomes expensive, and getting value in time is more expensive, which is why real-time computing is becoming more and more popular. In percentile companies, for example, nearly million HTTP requests are sent to the percentile server at peak intervals, which include user behavior and personalized referral requests. How do you quickly tap the user's preferences and make good recommendations from these data? This is the top priority for the percentage point recommendation engine. This article will be from the system architecture and algorithms are all introduced in the real-time calculation of the company ...

Big Data "Gossip": seven misconceptions that parse Hadoop and big Data

In the case of Hadoop, it's a myth in the open source world, but now the industry is accompanied by rumors that could lead it executives to develop strategies with a "colored" view. Today, the volume of data is growing at an alarming rate, from IDC Analyst Report 2013 data storage growth will reach 53.4%,at&t is claiming that wireless data flow in the past 5 years, the increase of 200 times times, from Internet content, e-mail, application notifications, Social messages and messages received on a daily basis are growing significantly, and ...

10 reasons why Hadoop has huge data security risks

Hadoop has 10 reasons for the huge data security risks: 1, Hadoop is not designed for enterprise data like many pioneering it technologies (such as TCP/IP or UNIX), the concept of Hadoop is not from enterprise users, enterprise security is not to talk about. The original purpose of using Hadoop is to manage publicly available information, such as Web links. It is aimed at a large number of http://www.aliyun.com/zixun/aggregation/13739.htm ...

Development experience of large data processing

Big Data is no new topic, in the actual development and architecture process, how to optimize and adjust for large data processing, is an important topic, recently, consultant Fabiane Nardon and Fernando Babadopulos in "Java magzine"   The newsletter in electronic journals shares his own experience. The author first emphasizes the importance of the big data revolution: The Big Data revolution is underway and it's time to get involved. The amount of data that the enterprise produces every day is increasing, can be used again to discover new ...

Cassandra and HBase Big Data showdown

Cassandra and HBase are the representatives of many open source projects based on bigtable technology that are implementing high scalability, flexibility, distributed, and wide-column data storage in different ways. In this new area of big data [note], the BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data. If you know this very well, your family is familiar with the two of Cassandra and HBase.

Five reasons why you have to use Hadoop for large data processing

Joe http://www.aliyun.com/zixun/aggregation/33805.html ">brightly, a huge fan of Hadoop, I've been on countless occasions to admit that I love Hadoop for data processing, for example, "You can handle PB-level data, you can scale to thousands of nodes that handle a lot of computing work, you can store and load data in a very flexible way ..." but when he deploys hadoop for large data processing analysis ...

From the fire to the core analysis of the evolution of large data users in Hadoop

In the 8 years of Hadoop development, we've seen a "wave of usage"-generations of users using Hadoop at the same time and in a similar environment. Every user who uses Hadoop in data processing faces a similar challenge, either forced to work together or simply isolated in order to get everything working.   Then we'll talk about these customers and see how different they are. No. 0 Generation-fire This is the beginning: On the basis of Google's 2000-year research paper, some believers have laid down the ability to store and compute cheaply ...

Big Data age you have to understand the large processing tools

Now Apache Hadoop has become the driving force behind the development of the big data industry.   Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities.   But what's the difference? Enterprise Data Warehouse and relational number today ...

Discussion on database technology in large data age

Today's world is a large data age of the information world, our life, whether life, work, learning are inseparable from the support of information systems. The database is the place behind the information system for saving and processing the final result.   Therefore, the database system becomes particularly important, which means that if the database is facing problems, it means that the entire application system will also face challenges, resulting in serious losses and consequences. Now the word "Big Data age" has become very popular, although it is unclear how the concept landed. But what is certain is that as the internet of things 、...

Is Apache spark the next big guy in a large data field?

The authors observed that http://www.aliyun.com/zixun/aggregation/14417.html ">apache Spark recently issued some unusual events databricks will provide $   14M USD supports Spark,cloudera decision to support Spark,spark is considered a big issue in the field of large data. The beautiful first impressions of the author think that they have been used with Scala's API (spark).

Large Data processing tool: Hadoop has five advantages

Now, if you haven't heard of Hadoop, you must be behind the time. As a new Open-source project, Hadoop provides a new way to store and processor data. Large http://www.aliyun.com/zixun/aggregation/3518.html "> Internet companies, such as Google and Facebook, use Hadoop to store and manage their huge datasets. Hadoop has also proven its five advantages through its application in these areas: ...

Key technologies of large data processing

is the traditional data processing method applicable in the large data age?   The data processing requirements under large data environment are very rich and data types in large data environment, storage and analysis mining data is large, the demand for data display is high, and the high efficiency and usability are valued. Traditional data processing methods are not traditional data acquisition source single, and the storage, management and analysis of data volume is relatively small, most of the use of relational database and parallel data Warehouse can be processed. To rely on parallel computing to enhance the speed of data processing, transmission ...

Total Pages: 265 1 .... 90 91 92 93 94 .... 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.