Oracle Big Data Training

Oracle Big Data training typically refers to courses and materials designed to help professionals understand and work with big data technologies, tools, and frameworks offered by Oracle. Oracle provides a range of products and services that support big data management, analysis, and integration, including their cloud services, databases, and analytics tools.

Why should you choose Nisa For Oracle Big Data Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Oracle Big Data Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

We receive your inquiry for Online Job
We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

1. Introduction to Big Data Concepts:

Understanding Big Data and its impact on business and technology.
The role of big data in industries like healthcare, finance, marketing, and more.
Overview of big data technologies (Hadoop, Spark, NoSQL, etc.).

2. Oracle Big Data Tools:

Oracle Big Data SQL: Learn how to query big data using SQL, integrating it with Oracle Database.
Oracle Big Data Appliance: Training on Oracle’s hardware and software platform for handling large-scale data.
Oracle Exadata and Oracle Database: Explore data storage, integration, and processing at scale.
Oracle Cloud: Learn how to deploy, manage, and use Oracle Cloud services for big data, such as Oracle Cloud Infrastructure (OCI) and Oracle Autonomous Database.
Oracle Analytics Cloud: Training on Oracle’s analytics suite for processing and analyzing big data.

3. Big Data Integration and Management:

Data Lakes: Implementing and managing data lakes using Oracle tools.
Data Warehousing: Building data warehousing solutions with Oracle.
ETL: Extract, Transform, and Load processes for integrating various data sources into big data systems.
Data Pipelines: Setting up data pipelines for big data processing using tools like Apache NiFi or Kafka.

4. Apache Hadoop and Spark:

Learn how Oracle integrates Apache Hadoop and Spark into its big data stack.
Hands-on experience with Hadoop ecosystem tools like HDFS, MapReduce, Pig, and Hive.
Learn Apache Spark for real-time big data processing and its integration with Oracle tools.

5. Machine Learning and AI:

Oracle Big Data training often covers machine learning integration with big data platforms.
Using Oracle tools like Oracle Machine Learning for running machine learning models on large data sets.
Learn how to deploy AI models in big data environments.

6. Data Security and Privacy:

Understand best practices for ensuring security in big data systems.
Implementing security measures in Oracle Big Data environments to protect sensitive data.
Privacy and compliance (GDPR, CCPA, etc.) in big data projects.

7. Advanced Analytics:

Building and deploying advanced analytics applications.
Real-time analytics with tools like Oracle Stream Analytics.
Use of Oracle Data Visualization for visualizing and interpreting big data insights.