Cpd uk Data engineering CERTIFICATION PROGRAM

Build the backbone of successful data-driven organizations with the cutting-edge Data Engineering program

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300k+ Trained Data Engineering

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COURSE OVERVIEW

The CPD UK Data Engineering certification program is a comprehensive course designed to equip learners with the essential skills and knowledge in the field of data engineering.

The program offers hands-on training and real-world simulations to enhance practical expertise

Upon completion, participants will receive a prestigious CPD UK certification, validating their expertise in Data Engineering.

Job Demand Expected to Grow by 76% every year

curriculum

  • What is Data Engineering
  • Why DE Responsibilities
  • Distributed System framework
  • Big Data
  • Key Data Engineering Concepts
  • Types of Data Sources
  • DE Tools
  • Big Picture-Industry Examples
  • Basic concepts of HDFS and Architecture
  • Basic concepts of Map Reduce
  • Basic concepts of Yarn
  • Applying map reduce to common problem
  • Understanding Map Reduce Programming
  • Model
  • Hive basic concepts
  • Why Spark
  • Spark Vs Hadoop
  • Basic Concepts of Spark
  • Spark Architecture
  • Understanding different Modes in Spark
  • Spark Lifecycle
  • Understanding Narrow vs Wide transformations, Data caching concepts, Repartition Vs coalesce
  • RDD’s Accumulators and Broadcast Variables
  • Setting up Spark Environment standalone cluster
  • Simple Spark Program
  • Submitting Spark jobs, how does spark submit works
  • What is Catalyst Optimizer
  • Spark internal concepts like shuffline, coalasce etc
  • Processing batch data with Apache Spark
  • Applying Transformation
  • UDF Creation
  • Spark SQL
  • Spark Data Frames
  • Spark Data set

1. Building interactive dashboards with multiple visuals.
2. Designing for user-friendly navigation and exploration.
3. Applying basic and advanced filtering options.
4. Implementing hierarchies and drill-down functionality.

  • What is Kafka
  • How to use Kafka
  • Installing Kafka Cluster
  • Kafka Producer and Consumer Implementation
  • Kafka Integration with Spark structure streaming
  • How to use Kafka in actual problems solving
  • Building Streaming Pipelines & optimizing it
  • Getting with ML with Apache Spark
  • Machine Learning packages: spark.mlib vs spark.ml
  • Implementation Clustering and dimensionality reduction in spark ML
  • Building recommendation session in Spark ML
  • Performing Regression of batch data:
  • Implementing Classification Model
  • Getting Started With Cassandra
  • Understanding Cassandra Data Model
  • Understanding Cassandra Architecture
  • Creating Sample Application In Cassandra
  • Configuring, Reading And Writing Data In Cassandra
  • Integrating Cassandra With Hadoop
  • Cassandra Query Language
  • Working With Cassandra Clients And Live Project
  • Practice Test & Interview Questions
  • Cloud Implementation and tools:
  • AWS EMR Cluster introduction & spark job
  • deployments
  • AWS Kinesis implementation integration with spark streaming jobs
  • AWS EC2
  • AWS S3
  • Introduction of AWS Managed Services like: Athena, AWS Glue, AWS Redshift
  • Setting up pipeline and end to end real time project implementation on AWS
  • Introduction to Azure Data Bricks
  • Microsoft Azure Services and overview
  • What is Data Bricks and why cloud?
  • Different cloud providers offering cloud services
  • Databricks Features & community edition
  • Cluster creation on Databricks
  • All purpose cluster
  • Job Cluster
  • Cluster Pool
  • When to use different cloud modes
  • Data Bricks benefit
  • Different cloud optimization (Memory Optimization, Compute Optimized, General Purpose, GPU Accelrated)
  • Databricks file system
  • Databricks architecture
  • DBFS details
  • Object Store (Blob storage, Data lake Gen2)
  • Filesystem Utility (DBUtils)
  • Azure Data Factory introduction
  • Data transfer (source to sink)
  • Data Transformation
  • Workflow orchestration
  • Data transfer from RDBMS to ADLS Gen2
  • Azure SQL Data bas
  • Data transfer from Azure SQL to ADLS Gen2
  • Author, monitor & manage
  • Data integration Service (ADF)
  • Use case where ADF can be used
  • Data Ingestion
  • Data Transformation
  • Data orchestration
  • Data flow mapping
  • Data transfer from external URL’s to ADLS –Use case
  • Linked services from source to sink
  • Select transformation
  • ADF primary usage
  • Azure CosmosDB
  • Azure manage services
  • Azure cognitive search engine
  • Azure Event Hub
  • AWS EMR basics
  • AWS EC2
  • AWS S3
  • AWS Athena
  • AWS Glue data catalog | crawlers
  • AWS Red shift
  • End to End Real time cloud projects using cloud services

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LIST OF PROJECTS

Network Vulnerability Scanneri

Password Manager

Malware Analysis Tool Web Application

Secure File Encryption/Decryption

Secure Chat Application

Phishing Awareness Platform

Tool Web Application Firewall

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Professional Certification

Enhance Your Employability and Recognition by Combining your degree and experience with success
in the Data Science Institute’s Industry Recognised and Approved Professional Certifications.

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Why You Should Choose ACODS?

  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing
  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content
  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
  • CPD UK Certificate
  • Project Certificate of Metafiser
  • ACODS Certificate of Completion
  • CPD UK Certificate
  • Project Certificate of Metafiser
  • ACODS Certificate of Completion

To showcase your projects via GitHub, Kaggle, and many more

Profile Analysis of an Individual to Assist them in Placement

To Perform well and Boost your Confidence in Interviews

JOB PROFILES

Data Engineer

Big Data Engineer

ETL Developer

Data Warehouse Engineer

Data Integration Specialist

Data Pipeline Engineer

Cloud Data Engineer

Database Developer

Data Operations Engineer

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Advisory Board

Expert-in
Java, Spring, REST, Data Engineering, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AZURE,AWS System Designing, Redis, Postgres, hibernates, Open source technologies

Expert-in
AWS, Spark, Scala, Python, Java, Big Data, Kafka, NO SQL, SQL, Performance optimization, Flume, ELK, Kubernetes, Kafka

Expert-in
Data Engineering, AI-ML, SQL, MLOPS, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AWS, GCP, Scala

Expert-in
Java, Spring, REST, Data Engineering, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AZURE,AWS System Designing, Redis, Postgres, hibernates, Open source technologies

Expert-in:
ML, Spark, Hadoop, Snowflake, RDBMS, NoSQL, AWS, Java, Scala and Python

Expert-in:
Microsoft Power-BI, Tableau, pySpark,Big Data, Python, SQL, Deep Learning, ML Algorithms, Automation ,Data Analysis.

Expert-in:
AI-ML, Data Engineering, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AZURE, AWS, System Designing, Kubernetes,Memchange

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Location Address

Vata A, 194 & 195, Sector 63 Rd, A Block, Sector 63, Noida, Uttar Pradesh 201301

 

34th floor, Prime Tower, Business Bay, Dubai UAE

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