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  2. Hive-metastore on Kubernetes with S3 External Table

    Note: I had to create a new container image to include the missing hadoop-aws-2.7.4.jar file. This can be obtained from my Docker repo jboothomas/hive-metastore-s3:v6. I then simply provided this as the image to use for the hive-metastore deployment. Table Creation

  3. MB Bank hiring Chuyên Viên Cao Cấp (Data Engineer) - Trung ...

    Chuyên Viên Cao Cấp (Data Engineer) - Trung Tâm Công Nghệ Dữ Liệu - Khối Dữ Liệu. about 2 months ago. Vietnam. Apply for a Chuyên Viên Cao Cấp (Data Engineer) - Trung Tâm Công Nghệ Dữ Liệu - Khối Dữ Liệu role at MB Bank. Read about the role and find out if it's right for you. Discover more TECH jobs on NodeFlair.

  4. General Skills Expected from Hadoop Professionals. Ability to work with huge volumes of data so as to derive Business Intelligence. Knowledge to analyze data, uncover information, derive insights, and propose data-driven strategies. Knowledge of OOP languages like Java, C++, and Python.

  5. Top 20 Data Engineering Project Ideas [With Source Code]

    Store the cleaned and transformed data in data storage solutions such as Amazon S3 or Hadoop HDFS. Develop a web-based application (e.g., using Flask or Django) where users can input their preferences, and the recommendation engine provides personalized movie recommendations. Click here to explore this data engineering project. 7.

  6. Google Cloud Storage Options and Overview - CloudThat Resources

    Google Cloud Storage: A Brief Overview. Google Cloud Storage is a cloud-based object storage service that provides scalable and durable storage for your data. It is designed to offer the highest levels of availability, security, and performance, making it an ideal choice for a wide range of applications. Whether you need to store user-generated ...

  7. MarkLogic Vs MongoDB: Which one is better?

    MarkLogic is a robust, enterprise-grade NoSQL Database that excels in handling complex data integration, semantics, and advanced search capabilities. It is known for its ACID (Atomicity, Consistency, Isolation, Durability) compliance, which makes it a reliable option for mission-critical applications and data-intensive industries like finance ...


    MODULE 4: SPARK SQL and HADOOP HIVE • Introducing Spark SQL • Spark SQL vs Hadoop Hive • Working with Spark SQL Query Language. MODULE 5: MACHINE LEARNING WITH SPARK ML • Introduction to MLlib Various ML algorithms supported by Mlib • ML model with Spark ML. • Linear regression • logistic regression • Random forest. MODULE 6 ...

  9. PHP vs. JavaScript: Choos the Right Language for Your Projects

    The combination of PHP and JavaScript is excellent for the creation of robust and feature-rich web applications that leverage the strengths of both languages. Popular frameworks for full-stack development include the MEAN (MongoDB, Express.js, Angular, Node.js) and LAMP (Linux, Apache, MySQL, PHP) stacks.

  10. Data Engineer Course in Jaipur - Training Fee 60% Off

    • Five Vs of Big Data • What is Big Data and Hadoop • Introduction to Hadoop • Components of Hadoop Ecosystem • Big Data Analytics Introduction. MODULE 2: HDFS AND MAP REDUCE • HDFS – Big Data Storage • Distributed Processing with Map Reduce • Mapping and reducing stages concepts