What is big data, and why is it so important? On a surface level, big data refers to large data sets that cannot be handled by traditional data analytics tools because of their volume. Analyzing and comprehending big data can be extremely lucrative, as purveyors of big data can detect trends.
Interpreting trends can lead to breakthroughs in countless industries. For example, companies can predict consumer behavior, improve research methods, optimize security, and more. Large corporations are investing billions into big data annually. As a result, the demand for big data professionals is rising.
As with most advanced professions, big data professionals need to earn a professional certification. The Big Data Hadoop Spark & Administrator Master Bundle contains 6 training courses which will prepare aspiring big data scientists for big data certification exams. The bundle is currently on sale for $59.
Like we mentioned before, traditional methods for data analysis don’t stack up to big data’s sheer volume, so a number of tools have launched to better handle large data sets; one such tool is Apache Hadoop. This bundle features the Big Data Hadoop Administrator Certification Training course, which illustrates Hadoop concepts such as architecture, cluster deployment, and security implementations.
Readers can delve more into Apache Hadoop with the Big Data Hadoop and Spark Developer course, which contains prep material for the Cloudera CCA175 big data certification exam. It includes lessons on using Pig, Hive, and Impala to analyze large datasets, as well as hands-on training using CloudLab in telecom, social media, insurance, and e-commerce environments.
Finally, the bundle includes Impala: An Open-Source SQL Engine For Hadoop Training Course. It features lessons on how to use Apache’s SQL query engine, Impala, on data stored in Hadoop.
These courses and more can be found in the Big Data Hadoop Spark & Administrator Master Bundle starting at $382, bringing the total value to $2,295. However, you can buy all 6 courses for $59, or 96% off.