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Cloudera's Hadoop certifications currently include two categories: developers and administrators. The two certification exams are often tied to their corresponding Hadoop training courses.
Needless to say, Cloudera has a tendency to become a Redhat in the Hadoop space, and the certification exams it provides will naturally assess those very important knowledge points and skills. Their developer and administrator qualifications are currently the only ones in the global industry, and naturally the most authoritative. At present, we are in the era of big data, enterprises need to transform to a "data-driven" model, and there is a great demand for Hadoop talents, but there is a shortage of Hadoop talents at home and abroad.
Foreign companies such as Oracle, Apple, and HP are no longer waiting for suitable candidates with Hadoop skills to come to their doors, but are gradually sending their employees to participate in Cloudera's Hadoop training and certification exams.
In summary, Cloudera's Hadoop training and certification is very useful: 1) to gain trustworthy Hadoop skills 2) so that other things being equal, employers will be more convinced and will give preference to engineers who hold Cloudera certification, which ensures the quality of Hadoop personnel for enterprises, and will undoubtedly be of great help to personal career development.
BTW, when you get the certificate and join their certification group on LinkedIn, you may often be "harassed" by the headhunters of many well-known companies at home and abroad, which is also a benefit :)
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Learning Hadoop is recommended to go to the big stage.
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Due to the popularity of Hadoop with customers, many companies have launched their own versions of Hadoop, while others are building products around Hadoop.
The largest and most well-known companies in the Hadoop ecosystem are working to support open source Hadoop while extending the data processing framework to a comprehensive "enterprise data center" that serves as the preferred destination and central point for managing all of the company's data. Hadoop can be used as a target data warehouse, an efficient data platform, or an ETL for an existing data warehouse. Enterprise scale can be used as a basis for integrating Hadoop with traditional data warehouses.
Cloudera is committed to being the "center of gravity" of data management.
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