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Big Data


What is big data? It's a phrase used to quantify data sets that are so large and complex that they become difficult to exchange, secure, and analyze with typical tools. These courses on big data show you how to solve these problems, and many more, with leading IT tools and techniques.

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Explore Big Data Courses
javascript-course-for-beginner-to-expert-data-visualization

From Messy to Meticulous: Data Cleansing with SAP Scenarios...

By : Yoann Bierling

Unlock the Power of Clean Data with SAP...

4.8 310

1:35:45 hrs   16 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Mastering Data Integration (ETL) with IBM DataStage...

By : Daniel Pham

Unlock the Power of Data Integration (ETL): Practical Training with IBM DataStage (ET...

4.5 647

273 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Mastering Oracle Data Integrator (ODI) - Comprehensive ETL a...

By : Daniel Pham

Comprehensive ETL, Data Integration and Change Data Capture (Oracle Golden Gate)...

4.5 234

62 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Data Vault Mastery: Modernizing Data Warehousing...

By : Daniel Pham

Modernizing Data Warehousing with Data Vault 2.0 Methodology...

4.5 242

59 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Software Engineering: System Debugging...

By : RougeNeuron Academy

Debugging is identifying the root cause of an unexpected behavior in a software syste...

4 260

28 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Spark Structured Streaming 3.0 : All You Need to Know...

By : Amit Ranjan

Get to hands on from the first hour and travel through the concepts and details to em...

4.6 70697

2:43:11 hrs   14 lectures Intermedite Level   

javascript-course-for-beginner-to-expert-data-visualization

Apache Spark Core 3.0 In-Depth...

By : Amit Ranjan

In-Depth, Hands-On driven exposure to the features and concpets of Spark Core with ti...

4.8 84706

10:38:59 hrs   31 lectures Intermedite Level   

javascript-course-for-beginner-to-expert-data-visualization

Master Big Data with Sqoop,Flume,Hive and Spark...

By : Navdeep Kaur

Complete course on Sqoop, Flume & Hive- Great for CCA175 & Hortonwork Spark Certifica...

4.3 82860

5:47:17 hrs   70 lectures Intermedite Level   

javascript-course-for-beginner-to-expert-data-visualization

Learn Apache Cassandra in Just 2 Hours...

By : Navdeep Kaur

A complete guide for Cassandra architecture, Cassandra Query language ,Cluster manage...

4.8 92736

1:47:36 hrs   23 lectures Intermedite Level   

javascript-course-for-beginner-to-expert-data-visualization

Advance Hive & Sqoop - Expert in Big Data Analytics (CCA159)...

By : Navdeep Kaur

Great for CCA 159 Preparation - Big Data Certification for Non Programmers,Business A...

4.6 93746

3:33:6 hrs   47 lectures Beginner Level   

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Frequently asked questions
  • What is Big Data?

    Big Data refers to extremely large and complex data sets that exceed the capabilities of traditional data processing methods. It encompasses three main characteristics: volume (large amounts of data), velocity (rapid data generation or processing), and variety (diverse data types).

  • What are the key technologies in Big Data processing?

    Key technologies in Big Data processing include Apache Hadoop, Apache Spark, Apache Flink, and distributed storage systems like HDFS (Hadoop Distributed File System). These technologies enable the storage, processing, and analysis of massive datasets.

  • How does Big Data contribute to business decision-making?

    Big Data analytics allows businesses to gain valuable insights from vast amounts of data. It facilitates data-driven decision-making by identifying patterns, trends, and correlations that can inform strategic planning, customer engagement, and operational efficiency.

  • What are the challenges in managing and analyzing Big Data?

    Challenges in managing Big Data include scalability, data integration, security, and the need for specialized skills. Analyzing Big Data poses challenges related to extracting meaningful insights from diverse and unstructured data sources.

  • How does Big Data differ from traditional data processing?

    Big Data differs from traditional data processing in terms of scale, speed, and variety. Traditional data processing methods may struggle to handle the volume and speed of Big Data, and Big Data often involves diverse data types beyond the structured data typically handled in traditional databases.

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