Designing Big Data architecture is no mean feat; rather it is a very challenging task, considering the variety, volume and velocity of data in today’s world. Coupled with the speed of technological innovations and drawing out competitive strategies, the job profile of a Big Data architect demands him to take the bull by the horns.
Take a deep dive into orchestrating big data solutions with celebrated business analyst training courses in Gurgaon.
Analyze the business problem, and identify whether it is a Big Data related problem or not. It won’t be prudent to just look at the sheer volume or cost factor, as they alone can’t be the deciding factors. Various other factors, like variety, volume, velocity, processing time or challenges within the current system must be given a look, as well.
Depending on their personal biases, market share of vendors or any sorts of existing partnerships, clients drive vendor selection for Hadoop distribution, often. Cloudera, Hortonworks, BigInsights and Mapr are some of the vendors for Hadoop distribution.
Deployment strategy is crucial, as it ascertains whether it will be on premise, cloud based or a mixture of both. Though each one comes with its own pros and cons:
Important factors to be considered:
Capacity Planning plays a dominant role in infrastructure sizing. The decision to use what type of hardware to be used, including the number of machines, CPU, memory, etc. and determination of the number of clusters/environment required are to be factored out by infrastructural sizing.
Take a look at the important considerations:
Backup and disaster recovery is a significant portion of planning, and includes the following concerns:
DexLab Analytics is a powerful learning community that offers exclusive Big Data Hadoop training. For more information, visit our website.
Interested in a career in Data Analyst?
To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.
Comments are closed here.