10 program languages to help you read the "Secrets" of Big Data

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data.   But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing.   Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding ...

Sql/nosql two big camp debate: who is more suitable for large data

In the process of pushing large data projects, enterprises often encounter such a key decision problem-what kind of database scenario should be used? After a comprehensive consideration, the final option is usually only two kinds of SQL and NoSQL. SQL has impressive performance and a large installation base, but NoSQL can bring considerable revenue and a lot of supporters as well.     In today's debate, we will listen to the views of the experts in the two camps. Networkworld website ...

Comparison of Datax and sqoop of large data synchronization tools

Datax is a tool for high-speed data exchange between heterogeneous database/file systems, which implements the http://www.aliyun.com/zixun/aggregation/34332.html "> processing system in arbitrary data" (rdbms/ Hdfs/local filesystem data Exchange, by the Taobao data Platform department completed. Sqoop is a tool used to transfer data from Hadoop and relational databases to one another ...

Solutions with large data technology and Hadoop

Machine data may have many different formats and volumes. Weather sensors, health trackers, and even air-conditioning devices generate large amounts of data that require a large data solution. &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; However, how do you determine what data is important and how much of that information is valid, Is it worth being included in the report or will it help detect alert conditions? This article will introduce you to a large number of machine datasets ...

Discussion on the pre-deployment of Hadoop with large data

The application of Hadoop is that "data is valuable!", of course, this has been recognized by almost everyone, and in the real world, is doing so, we all want from the system log, network data, social information, such as the vast number of data to discover valuable information, such as user behavior, habits, etc., And these are the next step in marketing effective decision-making basis.   After the advent of Hadoop, the discovery of the data was more vividly demonstrated, especially since a well-known Internet company began to use or deploy the Hadoop environment. Face ...

How to inherit the traditional data processing way in the enterprise

When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture.   In the industry, how to deal with the original structured data is a difficult problem for enterprises to enter large data field. When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But ...

Cassandra Joint spark Big Data analysis will usher in what changes?

2014http://www.aliyun.com/zixun/aggregation/13383.html ">spark Summit held in San Francisco, the database platform provider DataStax announced, Work with spark supplier Databricks, in its flagship product DataStax Enterprise 4.5 (DSE), will Cassandra NoSQL database and Apache Spark Open Source ...

is SOA or rest the best fit for large data applications?

As with all enterprise data, large data can only be used to project users through applications. For architects who design or redesign http://www.aliyun.com/zixun/aggregation/8213.html "> Large data applications, a key question is whether to use object-oriented architecture (SOA) or restful The API connects large data components and services to other parts of the application. Start with an interface that is exposed by a large data product and then define a large data interface on the application side. Connect with ...

Hadoop criticized! Experts say big data makes research difficult

1 statistics show that the notion that Hadoop is criticized for large numbers has been a long-standing concern. Many people also think that big data is the answer to most business and scientific questions. Survey results statistics (figure: paradigm4.com) But the latest http://www.aliyun.com/zixun/aggregation/32268.html "> survey shows that the results are not consistent with people's psychological expectations." According to database expert PARADIGM4 data ...

Analysis of the relationship between large data and Hadoop

Henry and I are working on an examination of the big data and its true meaning. Large data is a popular language. As with many popular words, the word "big data" is a bit overused, but it contains some real usability and technology.   We decided to analyze the big data on this topic and try to find out the authenticity of it and what they mean to storage solutions. Henry started this series with a good introduction. His definition of big data is the best definition I have ever seen. So I'm going to repeat this definition: Big data is turning data into information ...

How to spark a master for cloud computing big data?

Spark is a cluster computing platform originating from the Amplab of the University of California, Berkeley, which is based on memory computing and has more performance than Hadoop, and is a rare all-around player, starting with multiple iterations, eclectic data warehousing, streaming, and graph computing paradigms.   Spark uses a unified technology stack to solve the cloud computing large data stream processing, graph technology, machine learning, NoSQL query and other aspects of all the core issues, with a perfect ecosystem, which directly laid its unified cloud computing large data field hegemony. ...

What is the core value of large data?

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; The core value of large data is the storage and analysis of massive data.  Compared with other existing technologies, the overall cost of the "cheap, fast, and optimized" of large data is optimal. When this technology is used in its own time (such as Google, etc.), it will be very profitable, because the cost will be reduced, when the technology in the customer, customers ...

Why the company's big data business is based on the Hadoop solution

The main reasons for choosing Hadoop are the following three points: 1. reduce costs; 2. Ecological circle Mature; 3. Can http://www.aliyun.com/zixun/aggregation/7432.html "> Solve problems. A, can help us to solve what problems now regardless of the large companies at home and abroad, for large data are very eager to do all the means to collect all the data, due to the asymmetry of modern information resulting in constant data changes, a lot of information ...

The virtual love of Hadoop: Coping with Big Data challenges

The increasing volume of data and the increasing competitive pressures have allowed more and more enterprises to start thinking about how to tap the value of these data. Traditional BI systems, http://www.aliyun.com/zixun/aggregation/8302.html > Data warehouses and database systems do not handle this data well.   Reasons include: 1. The data volume is too large, the traditional database can not effectively store and maintain acceptable performance; 2. The newly generated data are often unstructured, while traditional parties ...

What can the large data processing platform--hadoop bring to the enterprise?

Now, the concept of "big data" is becoming more and more popular in the IT industry. NOAA, the US National Oceanic and Atmospheric Administration, uses "big data" for various analyses. The New York Times uses large data to excavate news analytics and web information.   Disney uses theme parks, stores, and web assets for customer http://www.aliyun.com/zixun/aggregation/9850.html "> Behavioral analysis. "Big Data" is not only applicable to large enterprises, but ...

Great data Age Darling--hadoop introduction and practice sharing

This article is a brief introduction to Hadoop-related technical biosphere, while sharing a previously written practice tutorial that requires a person to take. Today, with cloud computing and big data, Hadoop and its related technologies play a very important role and are a technology platform that cannot be neglected in this era.   In fact, Hadoop is becoming a new generation of data processing platforms due to its open source, low-cost and unprecedented scalability. Hadoop is a set of distributed data processing framework based on Java language, from its historical development angle we can ...

Big data is more than just Hadoop.

This period of time to contact large data related projects more, naturally some experience and feelings. Feel oneself before to this field of understanding is not comprehensive, even a bit blind, then in specific project or concept certification stage went a lot of detours. But it is good to know the brothers and sisters who have contacted many partners in the process of these projects, and learn a lot from them. Now try to get these ideas sorted out and share them with you, and hope that the children who are interested in the big data will help you a bit. This ppt has two main parts: one part is about large data application scenarios and the areas of traditional solutions ...

spark-the new overlord of cloud computing big data field

According to relevant data, China's mobile internet users in the first half of 2013 has exceeded the 500 million mark, is expected in the first quarter of 14, the domestic mobile internet users will be over the PC, mobile phone users more than 1 billion, 3G users continue to grow, as well as 4G strong momentum, have spawned mobile large data explosion.   A lot of new data is emerging all the times, and the mobile Internet is affecting all aspects of human life. This will be an unprecedented era. All companies and institutions are or are becoming mobile internet organizations. All companies and institutions will eventually be big data organizations for cloud computing. Move ...

Future predictions: Hadoop will not be able to handle large data alone

Hadoop will not be able to handle large data alone Sriram says, "Hadoop and MapReduce models are definitely one way to solve big data problems." But what you need to keep in mind is that Hadoop is just as good for batch processing as it is now. I believe that soon, we need to be able to process this data in real time. "Sriram, a Hadoop consultant, is not saying that this ubiquitous platform is slow. With such a powerful framework, a large amount of data can be processed within a minute, but that's not ...

Talend for Hadoop update open source large data platform, performance greatly improved

Open source Large data provider Talend has launched its own http://www.aliyun.com/zixun/aggregation/13607.html "> Data Integration Platform version 5.5."   The fast speed is the highlight of this new release, which adds 45% to the original performance of Hadoop. The company almost sees Talend version 5.5 's large data platform as "the latest integrated platform for delivering the highest performance on all Hadoop distributions." ...

Total Pages: 265 1 .... 92 93 94 95 96 .... 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.