Remote DBA Experts on What Hadoop Means to the Database Management Landscape

Big data hadoop

Big data hadoop

The big data phenomenon has brought with it numerous challenges to the data management landscape. As the government, businesses and other organizations continue rapidly generating data, the need to collect and analyze the same has become more urgent. Big data is not only about volume but also how this data is used to improve productivity in any setting.

The traditional database management systems have become overwhelmed as more data becomes available and sadly, this has resulted in reduced analysis of available data. If for instance a healthcare organization was to leverage big data through a capable database, it would be easier to cut costs, predict disease outbreaks and also make the entire healthcare more efficient.

Enter Hadoop

This is where Hadoop comes in handy. This is an open source storage platform that is gradually changing big data management. It provides an excellent data management solution for big data. Initially, it was mostly used by large web 2.0 companies but it is now being adopted by all types of businesses. The framework supports scaling out to process large data sets.
The importance of Hadoop basically lies in its ability to help businesses make decisions based on a large set of data and other variables. As a business owner, you are able to get a more comprehensive view of your target audience without having to use multiple analyses. If you are a website owner or a database manager, it is important to get insight on Hadoop in order to leverage its capabilities.

Brief History of Hadoop

During the 1990s and early 2000s, search result generation was done by humans. This was not only slow but also inefficient. There was need to automate the data generation process. Various developers got down to work and one pair consisted of Doug Cutting and Mike Cafarella. These two were the brainchild of Hadoop back in 2005. When Cutting joined Yahoo in 2006, development on the open software continued. Today, Hadoop is managed by the Apache Software Foundation.

Impact of Hadoop on Database Management

If you are using remote DBA experts for your big data processing, they are most likely deploying Hadoop. As a business owner, it is important to appreciate that as your business grows so does the amount of data you generate. One reason most websites lose customers is the fact that they don’t optimize their data management systems. Your database needs regular maintenance and upgrades and this is the role a DBA expert plays. When your database is performing optimally, queries are easily made and visitors will never experience downtime. Unlike traditional relational database systems (RDBMS), Hadoop allows your business to leverage thousands of terabytes of data.

Some of the other reasons this open software is creating such a buzz include:

  1. Scalability: One of the major challenges most websites are facing as regards data management is poor scalability. As a business grows, there is need to scale out and Hadoop provides this chance. It is possible for Hadoop to store large volumes of data sets on parallel servers. This means your business can run applications efficiently. It is easy to grow your system and handle even more data if you add nodes. More importantly, little administration is required for this. 
  2. Low Cost: Unlike licensed database management hardware which require high cost licenses, this is a system that allows you to scale to the degree you want without breaking the bank. Traditional RDBMS are prohibitive when it comes to scaling in order to process more data. The option used traditionally was to use small volumes of data to sample and then delete. The results were not as effective as using Hadoop. The cost savings are phenomenal and even small companies are now adopting this system,as it is more affordable.
  3. Leveraging all Data: Due to cost and operational issues, most companies were forced to ignore the data they had and this translated to lost opportunities. With Hadoop, organizations can now leverage all data they have to support business goals. All types of data; real-time, historic, structured and unstructured can now be analyzed to improve return on investment (ROI). 
  4. Flexibility: The ability to use all forms of data means emerging sources, such as social media can be used to harness new information regarding business trends and provide customer insight. Hadoop can also be applied in market campaign analysis, data warehousing, log processing and much more. This flexibility makes it one of the most important database management solutions in the market today.
  5. Reliability: Unlike traditional databases, Hadoop comes across as a zero-fault tolerance tool. All your data is replicated on nodes in the cluster, which guarantees there will be no downtime as there is another copy in case of failure.
  6. Better Performance: Hadoop’s computing power is unmatched and this makes it an ideal database management solution. Its distributed computing model makes it faster. More importantly, data processing tools are on the same servers as the data making processing seamless. One reason visitors turn away from a site is slow speeds and these are caused by slow database performance.

Final Thoughts

There are many other reasons Hadoop is the best database management system today. It is being used across industries including health, entertainment, media, and retail among others. The fact that it scales out makes it an affordable storage system for your company’s volume of data. The fact that tasks are different also makes it easier to handle partial failure if it occurs.

Hadoop is more reliable and it features a robust coherent model. As your business grows and data grows, you don’t need to invest in more servers as this will eat into your operational costs. This database system is perfectly suited both for startups and big brands. As big data is now a reality, your company needs to leverage its advantages including lowering costs, improving customer service and improving efficiency in production.

It might not fit for small data but remember your business is growing. With increased security standards, vulnerability should also not be a big deal.