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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.Read more...
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 big data and Hadoop certification is about big data and related technologies. We teach Hadoop, Map Reduce, Spark, Kafka, Apache Pig, Hive, and other programs. The curriculum lets you explore, analyze, and interpret a variety of data.
The big data and Hadoop certification program is for anyone interested in big data. It is ideal for aspiring business analysts. 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.
Hadoop and Spark require basic knowledge of Linux and Java, or any other object-oriented programming language. Having said that, the course covers the basics of these to ensure that those without any prior knowledge are brought up to speed before starting the sessions on Big Data.
• 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 course will take 10-15 hours of your time every week.
Yes, you may. Our curriculum is comprehensive and will make you capable to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.
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 demand for Apache Spark developers is on the rise. Those who are equipped with an Apache Spark certification have numerous avenues in the field of big data. Spark is the hottest technology now and data scientists who are certified in it are receiving lucrative job offers.
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 Hadoop Certification Training.
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 and Hadoop training are sought after by premier organizations. Going through Acadgild’s big data and Hadoop training will not only guarantee freshers a higher chance of being employed by eminent employers, but it will also enhance their earning potential. 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 Hadoop career for freshers is an extremely lucrative market that is only starting to be explored.
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.
Our job placement program offers students one-on-one career counselling, and the chance to work with our corporate partners.
Candidates who fulfill the following criteria will be eligible for the program:
• Scored 75% marks or above (resulting in a Platinum certificate) in the course.
• Successfully completed at least 2 quality projects.
• Scored 80% in all the mock technical interviews.
• Was never found plagiarizing code.
*This feature is currently available only for students in India.
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.
All sessions are recorded and uploaded to the course dashboard for you to access at your convenience.
Our mentors are top-notch industry professionals with at least 5 years of experience. You will be taught by the best in all batches.
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 seventy-two hours of live classroom interaction with expert faculty members, assistance in finding gainful employment, over two hundred hours of cases and projects from the industry to help ensure what is learnt can be applied, and coding support all year round. In addition to these services, Acadgild also ensures that the quality and efficiency of trainers are world class. With this, we have ensured that all students are given the best big data Hadoop training material, support and instructions possible. Acadgild's Hadoop course syllabus 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 training online program. Anyone looking forward to work in the Big Data realm will need a host of skills that include programming skills, analytical skills, database skills, machine learning, and parallel programming to name a few. 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 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.
To request a refund, write to us at [email protected] You may apply for a refund in the first three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of AcadGild's refund policy may be revised without prior notice. Please check websites for updates on this policy.