Big Data & Tools with NoSQL
  • Big Data & Tools
  • ReadMe
  • Big Data Overview
    • Overview
    • Job Opportunities
    • What is Data?
    • How does it help?
    • Types of Data
    • The Big 4 V's
      • Variety
      • Volume
      • Velocity
      • Veracity
      • Other V's
    • Trending Technologies
    • Big Data Concerns
    • Big Data Challenges
    • Data Integration
    • Scaling
      • CAP Theorem
      • Optimistic concurrency
      • Eventual consistency
      • Concurrent vs. Parallel Programming
    • Big Data Tools
    • No SQL Databases
    • What does Big Data learning means?
  • Linux & Tools
    • Overview
    • Linux Commands - 01
    • Linux Commands - 02
    • AWK
    • CSVKIT
    • CSVSQL
    • CSVGREP
  • Data Format
    • Storage Formats
    • CSV/TSV/Parquet
    • Parquet Example
    • JSON
    • HTTP & REST API
      • Terms to Know
        • Statefulness
        • Statelessness
        • Monolithic Architecture
        • Microservices
        • Idempotency
    • REST API
    • Python
      • Setup
      • Decorator
      • Unit Testing
      • Flask Demo
      • Flask Demo - 01
      • Flask Demo - 02
      • Flask Demo - 03
      • Flask Demo - 04
      • Flask Demo - 06
    • API Testing
    • Flask Demo Testing
    • API Performance
    • API in Big Data World
  • NoSQL
    • Types of NoSQL Databases
    • Redis
      • Overview
      • Terms to know
      • Redis - (RDBMS) MySql
      • Redis Cache Demo
      • Use Cases
      • Data Structures
        • Strings
        • List
        • Set
        • Hash
        • Geospatial Index
        • Pub/Sub
        • Redis - Python
      • Redis JSON
      • Redis Search
      • Persistence
      • Databases
      • Timeseries
    • Neo4J
      • Introduction
      • Neo4J Terms
      • Software
      • Neo4J Components
      • Hello World
      • Examples
        • MySQL: Neo4J
        • Sample Transactions
        • Sample
        • Create Nodes
        • Update Nodes
        • Relation
        • Putting it all together
        • Commonly used Functions
        • Data Profiling
        • Queries
        • Python Scripts
      • More reading
    • MongoDB
      • Sample JSON
      • Introduction
      • Software
      • MongoDB Best Practices
      • MongoDB Commands
      • Insert Document
      • Querying MongoDB
      • Update & Remove
      • Import
      • Logical Operators
      • Data Types
      • Operators
      • Aggregation Pipeline
      • Further Reading
      • Fun Task
        • Sample
    • InfluxDB
      • Data Format
      • Scripts
  • Python
    • Python Classes
    • Serialization-Deserialization
  • Tools
    • JQ
    • DUCK DB
    • CICD Intro
    • CICD Tools
      • CI YAML
      • CD Yaml
    • Containers
      • VMs or Containers
      • What container does
      • Podman
      • Podman Examples
  • Cloud Everywhere
    • Overview
    • Types of Cloud Services
    • Challenges of Cloud Computing
    • High Availability
    • Azure Cloud
      • Services
      • Storages
      • Demo
    • Terraform
  • Data Engineering
    • Batch vs Streaming
    • Kafka
      • Introduction
      • Kafka Use Cases
      • Kafka Software
      • Python Scripts
      • Different types of Streaming
    • Quality & Governance
    • Medallion Architecture
    • Data Engineering Model
    • Data Mesh
  • Industry Trends
    • Roadmap - Data Engineer
    • Good Reads
      • IP & SUBNET
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On this page
  1. Big Data Overview

Overview

Expectation in this course

Different than other courses I teach. It's not one specific to a specific tool or concept—range of topics and tools.

The first set of questions, which everyone is curious to know.

What is Big Data?

When does the data become Big Data?

Why collect so much Data?

How secure is Big Data?

How does it help?

Where can it be stored?

Which Tools are used to handle Big Data?


The second set of questions to get in deep.

What should I learn?

Does certification help?

Which technology is the best?

How many tools do I need to learn?

Apart from the top 50 corporations, do other companies use Big Data?

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Last updated 1 year ago