UrbanPro

Learn Hadoop from the Best Tutors

  • Affordable fees
  • 1-1 or Group class
  • Flexible Timings
  • Verified Tutors

Search in

When is Hadoop MapReduce better than Spark?

Asked by Last Modified  

3 Answers

Learn Hadoop

Follow 1
Answer

Please enter your answer

My teaching experience 12 years

Hadoop MapReduce is better than Spark in the following scenarios: 1. *Batch processing*: MapReduce is designed for batch processing and is more efficient for large-scale, long-running jobs. 2. *Complex data processing*: MapReduce is suitable for complex data processing tasks that require multiple...
read more
Hadoop MapReduce is better than Spark in the following scenarios: 1. *Batch processing*: MapReduce is designed for batch processing and is more efficient for large-scale, long-running jobs. 2. *Complex data processing*: MapReduce is suitable for complex data processing tasks that require multiple stages, such as data aggregation, filtering, and sorting. 3. *Low-level control*: MapReduce provides low-level control over data processing, allowing for fine-grained optimization and customization. 4. *Legacy system integration*: MapReduce is a more mature technology and may be required for integrating with legacy systems or existing Hadoop infrastructure. 5. *Cost-effective*: MapReduce can be more cost-effective for small-scale or infrequent data processing tasks, as it doesn't require the overhead of a Spark cluster. 6. *Specific use cases*: MapReduce is better suited for specific use cases like data warehousing, ETL (Extract, Transform, Load), and data archiving. However, Spark is generally preferred for: 1. *Real-time processing* 2. *Interactive analytics* 3. *Machine learning* 4. *Streaming data* 5. *High-speed data processing* Ultimately, the choice between MapReduce and Spark depends on the specific requirements of your project, including data size, processing complexity, and performance needs. read less
Comments

Political Science tutor with 2 years experienced

Spark is excellent for both real-time and batch processing, so you don't need to split tasks across different platforms. It uses in-memory caching and optimized query execution to provide quick results. Hadoop MapReduce is more suitable for batch processing.
Comments

"Transforming your struggles into success"

Hadoop MapReduce is better than Spark for batch processing on large-scale data when resources are limited and the workload is primarily disk-based. It’s also suitable for environments where existing Hadoop infrastructure is already in place.
Comments

View 1 more Answers

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Recommended Articles

We have already discussed why and how “Big Data” is all set to revolutionize our lives, professions and the way we communicate. Data is growing by leaps and bounds. The Walmart database handles over 2.6 petabytes of massive data from several million customer transactions every hour. Facebook database, similarly handles...

Read full article >

In the domain of Information Technology, there is always a lot to learn and implement. However, some technologies have a relatively higher demand than the rest of the others. So here are some popular IT courses for the present and upcoming future: Cloud Computing Cloud Computing is a computing technique which is used...

Read full article >

Big data is a phrase which is used to describe a very large amount of structured (or unstructured) data. This data is so “big” that it gets problematic to be handled using conventional database techniques and software.  A Big Data Scientist is a business employee who is responsible for handling and statistically evaluating...

Read full article >

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Looking for Hadoop ?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you
X

Looking for Hadoop Classes?

The best tutors for Hadoop Classes are on UrbanPro

  • Select the best Tutor
  • Book & Attend a Free Demo
  • Pay and start Learning

Learn Hadoop with the Best Tutors

The best Tutors for Hadoop Classes are on UrbanPro

This website uses cookies

We use cookies to improve user experience. Choose what cookies you allow us to use. You can read more about our Cookie Policy in our Privacy Policy

Accept All
Decline All

UrbanPro.com is India's largest network of most trusted tutors and institutes. Over 55 lakh students rely on UrbanPro.com, to fulfill their learning requirements across 1,000+ categories. Using UrbanPro.com, parents, and students can compare multiple Tutors and Institutes and choose the one that best suits their requirements. More than 7.5 lakh verified Tutors and Institutes are helping millions of students every day and growing their tutoring business on UrbanPro.com. Whether you are looking for a tutor to learn mathematics, a German language trainer to brush up your German language skills or an institute to upgrade your IT skills, we have got the best selection of Tutors and Training Institutes for you. Read more