How to be a big data architect?

Large Data which is structured and non-structured and is used for further data mining is known as big data. The bog data is known to be quiet large which is why it is stored at a global level for which some technologies and techniques are required to organise, store and analyze the data. Big data is handled by a big data architect, which is a very senior position. A big data architect is required to solve problems that are quite big by analyzing the data, using hadoop which is a data technology.

A big data architect is required to handle database at a large scale and analyze the data in order to make the right business decision. An architect of this calibre is required to be a strong team leader; he should have the ability to mentor people and to collaborate with different teams. It is also important for them to build relationships with different companies and vendors.

Skills required for bug data architect

A big data architect is required to have the following skills:

  • The strong decision making power for data analysis and he/she should also posses the quality of architecting the large data.
  • Should know about machine learning as it is important; pattern recognition, clustering for handling data and text mining are a few essentials.
  • A person should have a strong interest and experience in programming languages and all the technologies that are latest. All kinds of javascripts frameworks like HTML5, RESTful services, Spark, Python, Hive, Kafka, and CSS are a few important frameworks.
  • A big data architect should have the required knowledge as well as experience to handle data technologies that are latest such as; Hadoop, MapReduce, Hbase, oozie, Flume, mongoDB, Cassandra and Pig.
  • Should know how to work in cloud environments and also should have the experience and knowledge of cloud computing.
  • Experience in data warehousing and mining is a compulsion.

What are the special requirements for big data architects?

The special job requirements for big data architects are:

  • The ability to understand and also communicate the way by which the big data gets its business; whether it is through faster management skills or not.
  • Another requirement is the ability to work with diverse data which is quiet huge and is formed from a variety of sources.
  • Should have skills in big data tools and technologies; it includes technologies like the Hadoop, accumulo, MapReduce, hive, Hbase, panoply and redshift.

A big data architect has to be good in a lot of things; they need to have the experience of designing and implementing.

In order to be a good big data architect, it is important to be a good data architect; both the things are different. A good data architect can only become a good big data architect. Data architects are the ones who create blueprints related to the management systems. The data architect is required to design, centralise, integrate and protect the company’s data source.

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