Data Analysis

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

Data value-added applications: For operators, data analysis has great prospects in the government service market. Operators can also make big data technologies play a bigger role in transportation, emergency response, and stability.

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

Emerging startups are more focused on providing a single solution by selling data and services, and commercializing and commercializing big data is a model that deserves our attention.

In order to meet the ever-changing business changes, Jingdong's Jingmai team has adopted a popular open source big data calculation engine such as Hadoop on the basis of Jingdong Big Data Platform to create a decision-making data product for JD operations and products.

Opower has launched its big data platform Opower4. By analyzing various smart meters and power usage, utilities such as power companies have become Opower's profit sources. For the average user, Opower is completely free.

Today, big data technologies, especially big data analytics, have evolved into an important part of most corporate strategies, and companies are under intense pressure to keep up with the rapid growth of big data.

Climate Agricultural Insurance combined data on root structure and soil porosity with simulation results to provide crop insurance for thousands of farmers.

Today, I will share all the questions I encountered during the interview and share how to answer them. Some of these questions are relatively normal and have a certain theoretical background, but some are very innovative.

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

Machine learning and artificial intelligence are transforming businesses, brands and the industry as a whole. They have the ability to dramatically reduce labor costs, generate unexpected new ideas, and discover new models and create predictive models from raw data types.

At present, a large number of new technologies are emerging every year in the big data field, which is an effective means for big data, storage, processing analysis or visualization.

At present, a large number of new technologies are emerging every year in the big data field, which is an effective means for big data, storage, processing analysis or visualization.

Traditional data storage and management are based on structured data, so relational database systems (RDBMS) can meet the needs of various applications.

The big data field has boomed in recent years. As a segment of big data, education big data has great potential to promote educational change. Big data technology is rapidly evolving, which opens up new possibilities for big data applications.

Big data analysis requires the collection of multiple sources and multiple types of data. Data collection needs to establish uniform standards and specifications.

The purpose of this article is to provide an overview of the many trends that have revolutionized marketing and sales for big data. It combines ten related reports and introduces the application of ten big data in today's marketing and sales strategies.

At present, there are hundreds of Alibaba Cloud products running on Alibaba Cloud Network, and the area where Alibaba Cloud has been deployed has grown from several domestic cities and regions to many countries and regions around the world.

In most people's understanding, companies use data to optimize their processes, products, and decisions to make operations more effective. But I think this does not cover the full scope of big data.