Certifications are a great way to show your expertise in a certain field, and can help you get your next job, or even a promotion. We've asked our mentors to recommend the best certifications for you to consider in 2025.
Understanding all core concepts of Spark is key to claiming your next certificate. If you need help brushing up on your skills, consider reaching out to one of our mentors.
This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark.
Bernard Marr defines b…
The feature which separates this certification process is the involvement of Hadoop technology. Basically, It is best for those who want to work on both simultaneously. In addition, This certification includes some diverse number of topics. For example Flume, HDFS, Spark with Scala and Python, Avr…
Explore the exciting world of machine learning with this IBM course.
Start by learning ML fundamentals before unlocking the power of Apache Spark to build and deploy ML models for data engineering applications. Dive into supervised and unsupervised learning techniques and discover the revolutiona…
First and Foremost, you need to know either Scala or Python for this certification. On comparing to the HDP certification, Databricks certification is relatively different. Moreover, This tests only your programming Skills in Spark. Since entire exam covers programming section only. Ultimately, you…
The best part of this certification process is the collaboration of Databricks and O’Reilly. Somehow, It seems very similar to the Databricks certification. Although, there is also some input from the O’Reilly media editorial team. Basically, we have seen one thing that if you want to stand out of …
One of the best certifications that you can get in Spark is Hortonworks HDP certified Apache Spark developer. Basically, they will test your Spark Core knowledge as well as Spark Data Frames in this certification. In addition, Those who are considering it very easy, it is not a simple multiple-choi…
This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programmingGain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (H…
Welcome to Introduction to PySpark, a short course strategically crafted to empower you with the skills needed to assess the concepts of Big Data Management and efficiently perform data analysis using PySpark. Throughout this short course, you will acquire the expertise to perform data processing w…
This is one of the best certifications because it is designed for all who are interested to work with Spark. There is no condition to be a programmer, an engineer or a developer for this. Also, helps you to evaluate your Spark skills. With a focus on programming related tasks, there are 60-80 ques…
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distribu…
Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases. Three information-packed courses cover popula…
The Databricks Certified Associate Developer for Apache Spark certification exam assesses the understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session. These tasks include selecting, renaming and manip…
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