Who is Big Data Analyst?
Once we are talking about Big Data Analyst, the first you should know who is data analyst? The short answer to this question is;
“A good data analyst is the one who turns data into information, information into an insight and insight into a business decision.”
A Big Data Analyst is the next steps for Data Analyst. He/She should have all the required knowledge for being a data analyst along with they are mainly specialized with Data Science at scale and real time analytics using massive data. A Big Data Analyst mainly process massive data set and bringing new sights from massive data.
Essential Skills You Need
Traditional data analysis may fails to handle massive amount of data i.e. Big Data. Big Data is essentially huge data, both structured and unstructured. Big data doesn’t only mean huge data it has three defining properties or dimensions. 3Vs – volume, variety and velocity. Volume refers to the amount of data, variety refers to the number of types of data and velocity refers to the speed of data processing. According to the 3Vs model, the challenges of big data management result from the expansion of all three properties, rather than just the volume alone — the sheer amount of data to be managed.
To become an expert big data analyst you should have knowledge tools like Impala, Hive, and Pig. These toolkit have enabled real-time analytics and business intelligence directly on massive-scale data for the first time. They should understand how to access, manage, and perform critical analyses on big data in Hadoop.
Anybody can become a Big Data analyst. All they need to do is learn and practice few essential skills which is mandatory for the field.
Big Data Analyst Should Have Following Domain Knowledge:
- Tools like Impala, Hive, and Pig have enabled real-time analytics and business intelligence directly on massive-scale data.
- Machine learning library like: Apache Mahout, Apache Spark MLlib.
- Programming knowledge in R / SaS / SQL / SparkR
What Big Data Analyst Do?
They frequently perform the following task;
- Importing/Collecting, cleaning, converting and analyzing the data for the purpose of find insights and making conclusions.
- Presenting data in graphs, charts, tables, etc and designing and developing relational databases for collecting data.
- Conduct research and make recommendations on data mining products, protocols, services, and standards in support of procurement and development efforts.
- Monitor the performance of data mining system and if there are any issues then respond to the same.
- Keep a track of trends, patterns and correlation in case of complex data sets.
- Prepare concise data reports and data visualizations for the management that will help in decision making process.
- Work closely with the IT team and data scientists to determine and achieve the organizational goals.
- Assist the data scientist in development of new analytical tools and methods as and when required.
- Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
Also Read What Does a Data Scientist Do?