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Best Data Engineering Course Training in Philippines

Data Engineering is the new hot job in the market. A tech job report published by a renowned agency notes that Data Engineering is the fastest-growing career option in technology.
  • 40 Hours Classroom & elearning Sessions
  • 20+ Hours Assignments
  • 20+ Hours of Industry Use Cases
  • 6 months Learning Management System access
  • Blockchain enabled tamper-proof security certificate
Data Engineering certification course reviews - 360digitmg
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Data Engineering certification course reviews - 360digitmg
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Academic Partners & International Accreditations
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  • Data Engineering certification with NEF

Data engineering is about generating quality data and making it available for businesses to make data-driven decisions. Requirement for Data Engineering professionals has always outstripped the supply since 2017. Data Engineers enable businesses to engage in insights produced by data science using advanced analytics. This course in Data Engineering will equip you to build big data superhighways by teaching you the skills to unlock the value of data. According to reports, Data Engineer is the fastest-growing job in the space of technology, and with this course in Data Engineering, you will be able to kick start your new career as a Data Engineer today!

Data Engineering

business analytics course duration in Philippines

Total Duration

3 Months

data engineering course

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts
  • Analytical Mindset

Data Engineering Training Overview in Philippines

With our Data Engineering Training, you get to explore the various tools used by Data Engineers and understand the difference between a Data Scientist and a Data Engineer. In this training, get introduced to tools like Python, Spark, Kafka, Jupyter. Spyder, TensorFlow, Keras, PyTorch, etc. along with advanced SQL techniques. Learn to extract raw data from various data sources in multiple formats and then transform them into actionable insights, and deploy them into a single, easy-to-query database. Learn how to build pipelines while handling huge data to optimize the process of big data. Get firsthand experience with advanced data engineering projects.

What is Data Engineering?

A Data Engineer collects and transforms data to empower businesses to make data-driven decisions. He has to pay attention to security and compliance; reliability and fidelity; scalability and efficiency; and flexibility and portability while designing, operationalizing and monitoring data processing systems.

Data Engineering Training Learning Outcomes in Philippines

These modules will lay out the foundation for data science and analytics. The core of Data Engineering involves an understanding of various techniques like data modelling, building data engineering pipelines, and deploying the analytics models. Students will learn how to wrangle data and perform advance analytics to get the most value out of data. As you progress, you'll learn how to design as well as build data pipelines and work with big data of diverse complexity and production databases. You will also learn to extract and gather data from multiple sources, build data processing systems, optimize processes for big data, build data pipelines, and much more. With this course develop skills to use multiple data sources in a scalable way and also master the skills involved in descriptive and inferential statistics, interactive data analysis, regression analysis, forecasting, and hypothesis testing. Also, learn to

Comprehend the meaning of Data Engineering
Understand the Data Engineering Ecosystem and Lifecycle
Learn to draw data from various files and databases
Acquire skills and techniques to clean, transform, and enrich your data
Learn to handle different file formats in both NoSQL and Relational databases
Learn to deploy a data pipeline and prepare dashboards to view results
Learn to scale data pipelines in the production environment

Block Your Time

data engineering course

40 hours

Classroom &
elearning sessions

data engineering course

20+ hours

Assignments

Data engineering course

20+ hours

Industry Use Cases

Who Should Sign Up?

  • Science, Math and Commerce graduates
  • IT professionals who want to specialise in digital tech
  • Professionals who want to move into Data Analytics
  • Professionals who want to add Data Analytics to current job skills
  • Academicians and researchers working in Data Analytics

Data Engineering Course Modules in Philippines

These modules on Data Engineering are designed to ensure that they are at par with the current industry requirements for Data Engineers. All the modules will wrap up with hands-on practice using real tools and real-time multiple databases. With these modules you will learn to manage, load, extract, and transform data to facilitate delivering of results that your organization can leverage. You will also learn to master the core skills of cleansing, and migrating data.

  • Introduction Distributed Framework
  • Apache Spark
    • Core, SQL, MLlib
  • Introduction to Apache Airflow
    • Building Pipeline in Apache Airflow
    • Deploy and Monitor Data Pipeline
    • Production Data Pipeline
  • Real Time Streaming on Cloud (Azure and GCP)
  • Deploy and Monitor Data Pipelines
    • Production Data Pipeline
    • Connecting to Databases
  • Data Lakes
    • Populating a data lake
    • Reading and Scanning the data lake
    • Insert and Query a staging database
  • Introduction to Pub/Sub Messaging System and Apache Kafka
  • Building kafka Cluster
  • Setup Zookeeper and Kafka Cluster
  • Configuring and Testing Kafka Cluster
  • Streaming Data with Apache Kafka
  • Data Processing with Apache Spark and Databricks (public cloud)
Data Pipeline Modules - Self-Paced Learning Modules
How we prepare you
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    Additional assignments of over 80+ hours
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    Lifetime LMS Access
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    24/7 support
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    Job placements in Data Engineering fields
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    Unlimited Mock Interview and Quiz Session
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    Hands-on experience in a live project
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