ccp data engineer

Benefits of CCP:

The benefits of CCP for individuals:

CCP Data engineers can create a reliable, independent, and scalable data system that delivers the most advanced data system for the required work. Your employer wants to hire the best of the best. The CCP program allows you to showcase your skills in a challenging and challenging environment. To help develop skills, each CCP: Engineer will have access to:

Unique profile URL at certifier.cloudera.com to promote your skills and results with your employer or employer and link to LinkedIn. Click here to see an example of a CCP profile.

CCP mark for business card, resume, and online profile

Benefits of CCP for business:

Cloudera Testing shows that the CCP professionals you use or manage have the expertise and capability to help you make money from all of your data.

The CCP program provides an opportunity to find, support, and train a team of trained professionals

requirements:

All Cloudera reviews are open to everyone without any special requirements, training, certification or other means. You must have the high-level skills listed below.

Data entry:

The ability to transfer data between external systems and their clusters. This includes:

• Import and export data between the external RDBMS and the cluster, including the ability to import certain entries, change the settings and file structure of the imported data during import, and change the process for accessing data or sources.
• Distribute real-time data streams (NRTs) in HDFS, including the ability to distribute to multiple data sources and convert and receive data from one system to another.
• Import data into HDFS using the Hadoop File System (FS) command.

Transport, time, storage:

Edit the dataset in the new and/or new dataset in the format specified in HDFS and save it in the HDFS or Hive / HCatalog file. This includes the following skills:

• Convert data from one file to another
• Record the compression data
• Translate data from one value to another (for example, using an external Lat / Long Address folder)
• Change the data structure of data and define the data
• Clear invalid data collection files, such as zero
• Data translation and integration
• Abolish data for the campsite with different temperatures
• Start with Avro or hardwood floors
• Type of existing data as one or more primary partitions
• Adapt the data to real results

Data analysis

Filter, configure, merge, rotate, and/or modify from one or more datasets to a format defined in HDFS to obtain meaningful results. All of these services can include reading parquet, Avro, JSON, special text, and plain language. Queries contain complex data types (e.g. matrix, map, structure), external libraries, databases, compiled data, and require the use of Hive / HCatalog metadata.

• Write questions to collect different data
• Write a question to calculate all the figures (such as average or sum)
• Write a question to review the data
• Write a question that generates divisive or divisive data
• Write questions about a lot of information
• Read and/or create a Hive or HCatalog table from the data in HDFS

Work:

Ability to create and operate on a wide range of services that stimulate data to greater value in usage and systems. This includes the following skills:

• Create and operate linear services and features including Hadoop services, Hive services, Pig services, custom operations, and more.
• Create and maintain a service branch with features that include Hadoop services, rental services, real estate, traditional services, and more.
• Schedule full-time work schedules to streamline operations, including data-based operations