The ten Secrets of Hadoop and big data not to derail

Companies around the world are now using cloud services to implement large data analysis to drive ecosystems, and it is important for IT managers and C-level executives to keep improving. To keep up with the pace of development means the risk of losing customers. It is the most basic principle of the enterprise ecological chain: adaptation or being eaten. IT systems help the enterprise analyze the data collected by the storage system, which is very advantageous. But this is easier said than done because there are a lot of things to consider when building a new system or rebuilding an old system. Management requires the system to run at optimal performance in order to gain positive return on investment. Below is the big Data/hadoop Project 10 big not derailment secret.

Figure out the problem you're trying to solve.

If you don't know what you want to do with it, don't use your data. With this understanding, you can ensure that the company is in the right direction. Plan and stick to your plan as early as possible.

Define your business issues

Issues include the target audience, how to do the best, how to expand the market, how to effectively control costs, and how to engage and communicate with customers in the most positive way. This involves different categories of data. It is important to find out what problems really exist that will allow the business to understand and solve problems for improvement.

Focus on the most important issues first

This is not easy, because all problems are the most important from their perspective. Prioritize and stay focused. Problems will develop and new problems will arise.

Get help from people who know what they're doing.

You need a technical expert who knows the ins and outs of the project and how to solve the problem. If your technical expert is not proficient at the business level, find someone who knows the business model, the financial situation, the product or the service, and how to relate it all together.

Know where your data is distributed

If you use data analysis to guide sales, you need to focus on user behavior, product viewing, click-through and referral sites, etc. if you want to simplify the supply chain, you can be sure to focus on raw materials, supplier key performance indicators, bills of lading, warehousing, and even driver efficiency data. Knowing this will help to wake up how much data you have.

Invest in understanding data

Where are the data and where are the data from? The best way to deal with this is to focus on the data analysis process. In addition, the expected schema changes and plans allow the system to process them. If the scope of the problem can be identified at the outset, it will be less difficult to deal with and less time-consuming, rather than waiting for the system to be established.

Storing data

Once you know the source of the data and how much potential data will be available in the future, you will know how to store the data. Data growth may not be as much as expected, so you don't need scalability. Perhaps you collect a lot of data every day, based on the biggest scalability of cloud computing may be the way to go.

Working with Data

What needs to be analyzed? structured data, such as log files, semi-structured data such as e-mail or tweet data, or unstructured data, such as satellite data, or all of these types of data? SQL Server is a good choice if you plan to deal with structured data; But if you're dealing with unstructured data or other types of data, Hadoop may be the most effective solution.

Data corruption and data errors

Whether it is a mistake caused by a human error or a bug, you will have bad data. Have a plan for this, which will avoid headaches for the future. Take a closer look at data deduplication, data combing, and other quality assurance software.

Design and implementation

This is usually a major stumbling block. Need to do a good job in personnel or financial decision-making. For example, using Hadoop, if you have trained human resources to spare, you will reduce the costs associated with it. If no one has the skills they need, they need to learn it. But if you throw away their current tasks, do programmer training, or outsource is not an option, then software as a service (SaaS) may be the best choice.

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