Talend Big Data Certified Developer Exam Training

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    Training Mode: Online

    Description

    Talend Big Data Certified Developer Exam Training

    The Talend Big Data Certified Developer Exam Training is a program aimed at individuals seeking to validate their expertise in big data technologies, particularly within Talend’s data integration and management solutions. It covers essential topics such as data integration techniques, big data technologies, data quality, performance optimization, and best practices. Completion of the training and passing the certification exam demonstrates proficiency in leveraging Talend’s platform for real-world data challenges, enhancing career prospects in big data analytics.

    This certification exam covers the Talend Big Data Basics, Talend Big Data Advanced – Spark Batch, and Talend Big Data Advanced – Spark Streaming learning plans. The emphasis is on the Talend and Big Data architectures, Hadoop ecosystems, Spark, Spark on YARN, Kafka, and Kerberos.

    Talend Big Data Certified Developer Certification exam details

    Exam content is updated periodically. The number and difficulty of questions may change. The passing score is adjusted to maintain a consistent standard.

    Duration: 90 minutes

    Number of questions: 55

    Passing score: 70%

    Recommended experience

    At least six months of experience using Talend products

    General knowledge of Hadoop (HDFS, Hive, HBase, YARN), Spark, Kafka, Talend Big Data and cloud storage architectures, and Spark Universal

    Experience with Talend Big Data solutions and Talend Studio, including metadata creation, configuration, and troubleshooting

    Preparation

    To prepare for this Talend Big Data Certified Developer certification exam, Talend recommends:

    Taking the Big Data Basics, Big Data – Spark Batch, and Big Data – Spark Streaming learning plans

    Studying the training material in the Talend Big Data Certified Developer preparation training module

    Reading the product documentation and Community Knowledge Base article

    Badge

    After passing this certification exam, you are awarded the Talend Big Data Certified Developer badge. To learn more about the criteria to earn this badge, refer to the Talend Academy Badging program page.

    Certification exam topics

    Defining Big Data

    • Define Big Data
    • Describe the Hadoop ecosystem
    • Differentiate between Talend architecture and Big Data architecture
    • Describe cloud storage architecture in a Big Data context

    Managing metadata in a Big Data environment

    • Manage a Talend metadata stored in the repository
    • Describe the main elements of a Hadoop cluster metadata
    • Create a Hadoop cluster metadata
    • Create metadata connections to HBase, HDFS, YARN, and Hive

    Managing data using Hive

    • Import data to a Hive table
    • Process data stored in a Hive table
    • Analyze Hive tables in the Profiling perspective
    • Manage Hive tables on Hive Warehouse Connector with CDP public cloud

    Managing Spark in a Big Data Environment

    • Describe the principal usage of Spark
    • Manage Spark Universal, including modes, environments, and distributions
    • Configure Spark Batch and Streaming Jobs
    • Troubleshoot Spark Jobs
    • Optimize Spark Jobs at runtime

    Streaming with Talend Big Data

    • Describe principal usage of Kafka
    • Use Kafka components in Streaming Jobs
    • Manage Big Data Streaming Jobs in Studio
    • Tuning Streaming Jobs, including windowing, caching, and checkpointing

    Configuring a Big Data environment

    • Manage Kerberos and security
    • Manage Apache Knox security with Cloudera Data Platform (CDP)

    Managing data on Hadoop and cloud

    • Describe the principal usage of Hadoop (HDFS, HBase, and Hive) and cloud technologies
    • Export and import big data files to HDFS
    • Export and import big data files to the cloud
    • Export data to an HBase table

    Manage Big Data Jobs

    • Differentiate between Big Data Batch and Big Data Streaming Jobs
    • Migrate and convert Jobs in a Big Data environment

    Managing a Spark cluster

    • Define Spark on YARN
    • Describe the principal usage of YARN

    Manage YARN, including client and cluster

    • Monitor Big Data Job executions
    • Use Studio to configure resource requests to YARN

    For additional information regarding this training, please visit here.

    Contact Locus IT support team for further training details.

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