First, knowledge of big data

Title: First, to recognize big data
Author:martin
Date:2016-02-17
Summary: 4 V of Big Data: large volume (Volume), diversification (Variety), rapid speed (Velocity), low value density (value)

4 V of Big Data

Large volume (Volume), diversification (Variety), Rapid (Velocity), low value density (value)

Big data usage rates across industries

Big Data for enterprise role

• Build customer relationships for accurate marketing
• Understand the competition, know the enemy
• Innovative business models, products and services
• Adjust business decisions in real time
• Mining internal data of enterprises to improve decision-making ability of enterprises

Employment Direction 1. Technology development

ETL Development, Hadoop development, machine learning and development, real-time computing and development, data warehousing, etc.

Based on the big data existing ecosystem of technology API for integrated development, providing enterprises with a higher perspective of integrated solutions with independent intellectual property rights, the period may involve the underlying code of the major technologies, technical requirements are relatively high, the design of a wider range of technology.

2. Data mining

The main responsibility is to abstract the business model of the enterprise, use the mathematical idea to model the data, deduce the mathematical formula or the corresponding mathematical algorithm, and put it to the developer. This position is of high demand for knowledge in the field of mathematics, but more importantly to the business model and market insight of the enterprise and independent analysis, Thinking ability has strict requirements, but also need to have a very rich experience in the industry, not a short period of time to reach the degree.

3. Big Data architecture

Big Data Architects are more involved in the overall planning and layout of big data, such as the design of cluster architecture, scalability, high availability correspondence strategy, computer hardware selection, the construction of Big data cluster guidance scheme, resource scheduling processing, hardware tuning processing, The construction and tuning of the operating system and big data software stack, etc. the technical knowledge of the design needs to be considerable in both width and depth.

From for notes (Wiz)

First, knowledge of big data