Top 5 Big Data Skills in 2019
The Big data world is continually changing today with more number of innovations taking place every day. To land these lucrative jobs, certain special big data skills can help you greatly.
If you already have some knowledge of Big Data, splendid! If not, now is the time to start. Start learning to enhance your Big Data skills and have a bright Big Data career!
The Top 5 Big Data Skills that are high in Demand are the following:
1. Apache Hadoop: There has been tremendous growth in the development of Apache Hadoop in the last few years. Hadoop components like Hive, Pig, HDFS, HBase, MapReduce, etc. are in high demand these days.
2. NoSQL: The NoSQL databases including Couchbase, MongoDB, etc. are replacing the traditional SQL databases like DB2, Oracle, etc. These distributed NoSQL databases help in meeting the big data storage and access needs. This complements the expertise of Hadoop with its data crunching ability. The professionals with NoSQL expertise can find opportunities everywhere.
3. Data Visualisation: The data visualization tools like QlikView,Tableau can help in understanding the analysis performed by the analytics tools. The complex big data technologies and processes carried out are tough to grasp, and this is where the role of professionals come into the picture. A professional well versed with data visualization tools can get a chance to grow in their career with the big organizations.
4. Machine Learning: Data mining and Machine Learning are the two hot fields of big data. Though the landscape of big data is vast, these two make an important contribution to the field. The professionals that can use machine learning for carrying out predictive and prescriptive analysis are scarce. These fields can help in developing recommendation, classification and personalization systems. The professionals with the knowledge of data mining and Machine Learning are heavily paid as well.
5. Apache Spark: Spark acts as a more straightforward and quicker alternative for complex technology like MapReduce. It has become very popular lately with or without the Hadoop framework. Many organizations are adopting the technology and hence are looking for people with the Spark skills. The rise of the in-memory stack of Spark has made the Spark a high paying job as well.
If you already have some knowledge of Big Data, splendid! If not, now is the time to start. Start learning to enhance your Big Data skills and have a bright Big Data career!
The Top 5 Big Data Skills that are high in Demand are the following:
1. Apache Hadoop: There has been tremendous growth in the development of Apache Hadoop in the last few years. Hadoop components like Hive, Pig, HDFS, HBase, MapReduce, etc. are in high demand these days.
2. NoSQL: The NoSQL databases including Couchbase, MongoDB, etc. are replacing the traditional SQL databases like DB2, Oracle, etc. These distributed NoSQL databases help in meeting the big data storage and access needs. This complements the expertise of Hadoop with its data crunching ability. The professionals with NoSQL expertise can find opportunities everywhere.
3. Data Visualisation: The data visualization tools like QlikView,Tableau can help in understanding the analysis performed by the analytics tools. The complex big data technologies and processes carried out are tough to grasp, and this is where the role of professionals come into the picture. A professional well versed with data visualization tools can get a chance to grow in their career with the big organizations.
4. Machine Learning: Data mining and Machine Learning are the two hot fields of big data. Though the landscape of big data is vast, these two make an important contribution to the field. The professionals that can use machine learning for carrying out predictive and prescriptive analysis are scarce. These fields can help in developing recommendation, classification and personalization systems. The professionals with the knowledge of data mining and Machine Learning are heavily paid as well.
5. Apache Spark: Spark acts as a more straightforward and quicker alternative for complex technology like MapReduce. It has become very popular lately with or without the Hadoop framework. Many organizations are adopting the technology and hence are looking for people with the Spark skills. The rise of the in-memory stack of Spark has made the Spark a high paying job as well.
