No Data Found Exception

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Recently, I returned to attend some university seminars, government departments of the symposium and the training activities of enterprises, the theme is large data, nowadays, the major domestic newspapers and magazines are also discussing this hot topic, but I found that the Chinese society on the "big data" concept still some inaccurate understanding or even the concept of misunderstanding, In particular, the strategic significance of large data at the national level is underestimated and needs to be deepened. Small data to large data "big data" is a new wave of technology, but also gradually formed a historical phenomenon, its specific refers to the increase in the amount of information storage, the human in practice gradually recognized ...

The previous article introduced some basic concepts of data quality, data quality control as the basic link of Data Warehouse, is the foundation of guaranteeing the application of upper layer data. Data quality assurance consists mainly of data Profiling, data auditing and data revision (information correcting) three parts, the previous article describes the content of the information Profiling, Profiling the data in the process of obtaining the summary statistics, so the following ...

This article will talk about the application of data mining in medicine, hope to be interested in the friends have inspiration, but also engaged in other industries data mining applications colleagues reference. Data mining, also known as Knowledge Discovery (KDD), is the process of extracting potential and valuable knowledge from a large number of data. The pattern explored by data mining is an objective, but hidden knowledge that is not found in data. For example, data mining can directly excavate the high disease population, discover the unknown link between the disease and the symptom, explore the influence relationship between the test indexes and the potential influence between the test index and the disease, to the unknown ...

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