Big Data is the new buzz word in the tech market. And even though words like Hadoop big data have been around for a while, the market still has demand for professionals with knowledge of Hadoop and big data.
The spending on big data technology is expected to be reach $ 210 billion by 2020.
Around 85% of companies are using data to make business and organizational decisions.
By 2020, every human being will create around 1.7 MB of data per second.
The free Spark RDD & Big Data Essentials Training program is for anyone interested in big data. It is ideal for aspiring big data engineers/developers. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or big data.
The Big Data Essentials Training program is for anyone interested in big data. It is ideal for aspiring big data engineers/developers. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or big data.
Basic knowledge of databases, Java and SQL would be useful during the free Spark RDD & Big Data Essentials Training.
• Microsoft® Windows® 7/8/10 (32- or 64-bit).
• 4GB RAM minimum, 8 GB RAM (recommended).
• Intel Core i3 or higher processor.
• Internet speed: Minimum 1 Mb/s.
• Intel® VT-x (Virtualization Technology) enabled.
The free Spark RDD & Big Data Essentials Training program is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS and MapReduce. In our Big Data Essentials HDFS MapReduce and Spark RDD (RDD in Spark) training program, you will study the use of Pig and Hive for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.
Whether you are a seasoned professional, fresher or someone seeking to upskill in new technologies. This big data training should help you gain insight into the real-world use cases of big data. Additionally, with Hadoop knowledge you gain from the big data training will unfold new career options and transitions to more challenging roles.
What’s more exciting is that all industries are already showing interest in Hadoop and big data. They are eager to learn from their data and prepare solutions that will help them gain a competitive edge in their industry. We at Acadgild deliver both offline and online big data training to can reach to students from any corner of the world. Enroll Now for the course Big Data Essentials HDFS MapReduce and Spark RDD Training.
The Big Data Hadoop and apache spark certification course is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS, YARN, and MapReduce. In our Big Data Hadoop and apache spark certification program, you will study the usage of Pig, Hive, and Impala for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.
The digital age is evolving at a rapid pace. Therefore, it is essential to keep up to date about the latest developments in data sciences. Data analysts and programmers who have completed Big Data Essentials Training are sought after by premier organizations. Big data is both the present and the future. The big data and Hadoop training is considered to be at the forefront of the evolution of the field. It would not be a stretch to say that a big data career for freshers would be lucrative.
Yahoo! - the biggest contributor to the creation of Hadoop – uses Hadoop, Facebook – Developed Hive for analysis, Amazon, Netflix, Adobe, eBay, Spotify, Twitter, Adobe and many more.
Data scientists work with data according to business needs. They are responsible for data analysis. Big data developers design and implement programs that make the analysis possible.
Big Data Engineering includes all processes that aim to increase the accessibility of data from various sources and optimize it for analysis. Big Data Engineers use tools like Hadoop, MapReduce, NoSQL and MySQL for their tasks.
Big Data Analytics, on the other hand, focuses primarily on the process of data analysis. It involves creating reports that include graphs and infographics to effectively communicate insights from data. Data Analysts use programs like SQL, Hive, Pig, Matlab, R, Excel, etc.
Big Data Developers earn Rs 5,50,000 on average according to Glassdoor. Experienced Big Data Developers make as much as Rs 17,00,000 - 20,00,000.
Acadgild is a leading tech education website that provides expertise in big data education. Students of Acadgild also are offered round the clock services and support including lifetime access to course material as well as internationally recognized certification. They receive around 25 hours of expert training from industry mentors and over 50 hours of cases and projects from the industry to help ensure what is learnt can be applied. In addition to these services, Acadgild also ensures that the quality and efficiency of videos are world class. With this, we have ensured that all students are given the best big data essentials training material, support and instructions possible. Acadgild's big data essentials training is also designed to get the best out of those attending the classes.
Acadgild offers a comprehensive and in-depth understanding of the various aspects of Big Data through its Big Data Essentials HDFS MapReduce and Spark RDD (RDD in Spark) training self-paced program. Anyone looking forward to work in the Big Data realm will need a host of skills. Acadgild is an institute that hosts both classroom big data training as well as big data training online, with skilled trainers with years of professional experience. We also understand that big data training online should be imparted through hands-on projects and cases studies on big data. Thus, making the students of big data training truly proficient with necessary skills.
You can pay the Big Data Essentials Training fees after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.
Our ‘Refer and Earn’ program gives you a discount on the course fees when your references join us. You may refer students by writing to us at [email protected] The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.