Data Value in the big data age-Excellent hadoop video tutorial recommendation

Data Value in the big data age

With the in-depth application of big data in various fields in the big data era, the value of big data itself is also being highlighted. Researchers and commercial users analyze big data, it is to gain insight into the real needs of customers.

Data is valuable and companies cannot do without data. But how valuable is the data value in the big data era? What is the cost of analyzing big data and obtaining value from it?

In the past, technical experts provided historical data to senior management so that they could determine market trends. Although statistics are helpful for understanding market trends at a higher level and how organizations make the market, they are not enough to determine what new products or services need to be developed. These statistics do not tell you what the customer really wants.

In the big data era, big data is analyzed by analysts, researchers, and commercial users to make faster and better decisions. By using advanced analysis technologies such as text analysis, machine learning, predictive analysis, data mining, and statistics, enterprises can analyze previously undeveloped data.

Companies generate a large amount of data and have the ability to collect information from other sources, including mobile applications, sensors, websites, clickstream data, and social media activities. The data can be converted into products.

It is not easy to collect and analyze large amounts of data, especially unstructured data. Hadoop video tutorial currently, enterprise systems cannot process TB of data per week, so there is no way to mine the gold block that can help the company develop new products and services required by customers. This leads the company to seek high-performance computing resources that can solve the problem, such as weather and climate forecast, parametric modeling and random modeling, to process large-scale commercial data.

In the hadoop video tutorial, big data analysis uses analysis technology to analyze very large and diverse datasets. These data types include structured/unstructured, stream data, or batch processing data, the scale is also quite different, ranging from TB to Pb and ZB. It checks different data types to find hidden patterns, Unknown associations, and other useful information.

Hadoop video tutorial excellent recommendation

Hadoop Big Data zero-basic high-end practical training series with text mining projects (seven highlights and ten goals)

Hadoop2.0/yarn (hadoop2.0, spark, storm, And Tez)

Advanced big data applications based on hadoop2.0 and yarn (hadoop2.0 \ yarn \ mapreduce \ data mining \ Project Practice)

Data Value in the big data age-Excellent hadoop video tutorial recommendation