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Big Data Tools

12 resources

Level
Type

🎓Courses(2)

course👁️ 0

Introduction to Big Data

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

beginner🇬🇧
course👁️ 0

Big Data Analysis

The Big Data Analytics course offers a deep dive into the technologies, tools, and techniques used to process and analyze large-scale data. Learners will explore the Hadoop and Spark ecosystems, gaining hands-on experience with essential components such as Hadoop Distributed File System (HDFS), MapReduce, Pig, and Hive. The course also covers both relational (SQL) and nonrelational (NoSQL) databases, helping learners understand the appropriate contexts for each type of data storage. A significant focus is placed on Apache Spark, known for its high-speed, in-memory data processing capabilities, which is vital for handling big data applications. Learners will also work through real-world exercises, including implementing and deploying a machine learning application that processes streaming data on the cloud. Designed for professionals with a background in predictive analytics, basic SQL, and Python programming, this course equips learners with the practical skills to manage data characterized by high volume, velocity, and variety. By the end of the course, participants will be able to derive actionable insights from big data and apply them in business contexts, contributing to improved decision-making and competitive advantage in data-driven environments.

beginner🇬🇧

📚Books(1)

book👁️ 0

Spark: The Definitive Guide

Spark: The Definitive Guide - A book resource

intermediate🇬🇧

🌐Websites(6)

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website👁️ 0

Hadoop Tutorials

Apache Hadoop official site

beginner🇬🇧
website👁️ 0

Kafka Documentation

Official Apache Kafka resources

beginner🇬🇧
website👁️ 0

Apache Spark Official Documentation

Free official guides and tutorials

beginner🇬🇧
website👁️ 0

databricks.com

Databricks is a cloud-based unified analytics platform built around Apache Spark for data engineering, data science, and machine learning workflows. The site offers product information, documentation, tutorials, blogs, training resources, and access to notebooks and features like Delta Lake and MLflow.

intermediate🇬🇧
website👁️ 0

hadoop.apache.org

Apache Hadoop's official site provides an overview of the Hadoop ecosystem and core projects (HDFS, MapReduce, YARN) along with documentation and guides. It also offers downloads, tutorials, APIs, and information on related ecosystem projects.

intermediate🇬🇧
website👁️ 0

kafka.apache.org

Apache Kafka's official site for the distributed event streaming platform. It provides project overview, downloads, and extensive documentation plus quickstarts and tutorials for using Kafka, its Streams and Connect ecosystem to build real-time data pipelines.

intermediate🇬🇧

🎙️Podcasts(3)

podcast👁️ 0

Big Data Podcast

Come here to keep up with the cutting edge research from the Journal of Astrological Big Data Ecology's from the finest researches from Cranberry Lemon University. Listen to Deep Dives of new research publications spanning topics as far ranging as machine learning, AI, biology, ecology, astronomy, astrology, computer science, mathematics, physics and many more STEM topics, Get to know the researchers through interviews with the authors and more!

beginner🌐
podcast👁️ 0

The Spark

A pastor coming alongside other pastors reminding them of the Chief Pastor through care, counsel, and resources. View the full archive, donate to support our work, or book a counseling session on TheShepherdsCrook.co.

beginner🌐
podcast👁️ 0

Data Engineering

This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

beginner🌐

Frequently Asked Questions

What are the best free resources to learn Big Data Tools?

Dantes has curated 6 resources for Big Data Tools, including 2 courses, 4 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Big Data Tools hard to learn?

Big Data Tools is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Big Data Tools learning resources are available on Dantes?

For Big Data Tools, Dantes has curated 2 courses, 4 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Big Data Tools resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Big Data Tools, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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