Most of the giant companies often worry for the corruption of database, slow performance of the database, and many more issues. Big Data has brought the All-in-One solution for the big giant companies regarding data storage and data application solutions.
Here’re the opportunities of learning NOSQL database, Spark, HDFS, and other Big Data technologies available at TECH EXPLICA with summer training in Delhi program. On accomplishment of Big Data course, the students will be experienced and highly qualified Big Data Hadoop Architect. Now these days, Big Data plays a significant role for IOT, ML and AI projects to perform a best data storage application. Most of the companies upgrade their database to Big Data for a best database experience.
All the students at TECH EXPLICA will get chance to learn and work with the Big Data Hadoop technology. Also, they will get Big data certificates after completion of summer training session.
Best things in summer training in Noida Delhi program
- International quality project and infrastructures
- Best instructors
- Live Big Data projects with IOT, ML or AI.
- Opportunities for bigger companies.
Career growth opportunities at TECH EXPLICA
TECH EXPLICA is dedicated to provide Spark Developer or Big Data Administrator to the industry. Till today, 502 students have successfully passed in Big Data Hadoop training. We have incredible infrastructures for the successful project development and many more technology will be also included as per need.
High scalability of Big Data clusters
Most of the overseas companies like Microsoft, IBM, Nestle, Hero Honda, and PepsiCo, upgrade their old model database to Big data clusters through expert Big Data Architect
The students from BE, DIPLOMA, B.TECH, BSC(IT), BCA, MCA and MSC(IT) will learn Hive, HDFS, HBase, and YARN installation. The Cloudera and block size cluster will be easily installed and handled within the important part of the projects.
Check with us for availability of seat within summer training in Delhi program for you with your existing details.