iOS App Dev

iOS App Dev

1622073900

Identify and Resolve Stragglers in Your Spark Application

Know about potential stragglers in your Spark application and how they affect the overall application performance.

Stragglers are detrimental to the overall performance of Spark applications and lead to resource wastages on the underlying cluster. Therefore, it is important to identify potential stragglers in your Spark Job, identify the root cause behind them, and put required fixes or provide preventive measures.

What Is a Straggler in a Spark Application?

How Stragglers Hurt

How to Identify Them

What Causes Stragglers?

Possible Remedies

#big data #hadoop #data science #data #data analytics #spark

What is GEEK

Buddha Community

Identify and Resolve Stragglers in Your Spark Application

Top Spark Development Companies | Best Spark Developers - TopDevelopers.co

An extensively researched list of top Apache spark developers with ratings & reviews to help find the best spark development Companies around the world.

Our thorough research on the ace qualities of the best Big Data Spark consulting and development service providers bring this list of companies. To predict and analyze businesses and in the scenarios where prompt and fast data processing is required, Spark application will greatly be effective for various industry-specific management needs. The companies listed here have been skillfully boosting businesses through effective Spark consulting and customized Big Data solutions.

Check out this list of Best Spark Development Companies with Best Spark Developers.

#spark development service providers #top spark development companies #best big data spark development #spark consulting #spark developers #spark application

Roberta  Ward

Roberta Ward

1595344320

Wondering how to upgrade your skills in the pandemic? Here's a simple way you can do it.

Corona Virus Pandemic has brought the world to a standstill.

Countries are on a major lockdown. Schools, colleges, theatres, gym, clubs, and all other public places are shut down, the country’s economy is suffering, human health is on stake, people are losing their jobs and nobody knows how worse it can get.

Since most of the places are on lockdown, and you are working from home or have enough time to nourish your skills, then you should use this time wisely! We always complain that we want some ‘time’ to learn and upgrade our knowledge but don’t get it due to our ‘busy schedules’. So, now is the time to make a ‘list of skills’ and learn and upgrade your skills at home!

And for the technology-loving people like us, Knoldus Techhub has already helped us a lot in doing it in a short span of time!

If you are still not aware of it, don’t worry as Georgia Byng has well said,

“No time is better than the present”

– Georgia Byng, a British children’s writer, illustrator, actress and film producer.

No matter if you are a developer (be it front-end or back-end) or a data scientisttester, or a DevOps person, or, a learner who has a keen interest in technology, Knoldus Techhub has brought it all for you under one common roof.

From technologies like Scala, spark, elastic-search to angular, go, machine learning, it has a total of 20 technologies with some recently added ones i.e. DAML, test automation, snowflake, and ionic.

How to upgrade your skills?

Every technology in Tech-hub has n number of templates. Once you click on any specific technology you’ll be able to see all the templates of that technology. Since these templates are downloadable, you need to provide your email to get the template downloadable link in your mail.

These templates helps you learn the practical implementation of a topic with so much of ease. Using these templates you can learn and kick-start your development in no time.

Apart from your learning, there are some out of the box templates, that can help provide the solution to your business problem that has all the basic dependencies/ implementations already plugged in. Tech hub names these templates as xlr8rs (pronounced as accelerators).

xlr8rs make your development real fast by just adding your core business logic to the template.

If you are looking for a template that’s not available, you can also request a template may be for learning or requesting for a solution to your business problem and tech-hub will connect with you to provide you the solution. Isn’t this helpful 🙂

Confused with which technology to start with?

To keep you updated, the Knoldus tech hub provides you with the information on the most trending technology and the most downloaded templates at present. This you’ll be informed and learn the one that’s most trending.

Since we believe:

“There’s always a scope of improvement“

If you still feel like it isn’t helping you in learning and development, you can provide your feedback in the feedback section in the bottom right corner of the website.

#ai #akka #akka-http #akka-streams #amazon ec2 #angular 6 #angular 9 #angular material #apache flink #apache kafka #apache spark #api testing #artificial intelligence #aws #aws services #big data and fast data #blockchain #css #daml #devops #elasticsearch #flink #functional programming #future #grpc #html #hybrid application development #ionic framework #java #java11 #kubernetes #lagom #microservices #ml # ai and data engineering #mlflow #mlops #mobile development #mongodb #non-blocking #nosql #play #play 2.4.x #play framework #python #react #reactive application #reactive architecture #reactive programming #rust #scala #scalatest #slick #software #spark #spring boot #sql #streaming #tech blogs #testing #user interface (ui) #web #web application #web designing #angular #coronavirus #daml #development #devops #elasticsearch #golang #ionic #java #kafka #knoldus #lagom #learn #machine learning #ml #pandemic #play framework #scala #skills #snowflake #spark streaming #techhub #technology #test automation #time management #upgrade

 iOS App Dev

iOS App Dev

1622073900

Identify and Resolve Stragglers in Your Spark Application

Know about potential stragglers in your Spark application and how they affect the overall application performance.

Stragglers are detrimental to the overall performance of Spark applications and lead to resource wastages on the underlying cluster. Therefore, it is important to identify potential stragglers in your Spark Job, identify the root cause behind them, and put required fixes or provide preventive measures.

What Is a Straggler in a Spark Application?

How Stragglers Hurt

How to Identify Them

What Causes Stragglers?

Possible Remedies

#big data #hadoop #data science #data #data analytics #spark

Elton  Bogan

Elton Bogan

1603105200

Data Reconciliation in Spark

Data Reconciliation is defined as the process of verification of data during data migration. In this process target data is compared against source data to ensure that the migration happens as expected.

Need for Data Reconciliation

  • You cannot trust your data without data verification.
  • Comparing record counts and fill rates does not always work.
  • Untrustworthy data leads to flawed insights.

Data Reconciler is a data reconciliation tool that checks for the accuracy of your data. Before taking you through the technical implementation, I would like to show you the output of the Reconciliation tool. You can run this code by yourself by following the instructions in next section.

The input dataset has 4 fields with a record count of 50 million records sizing about 1 GB in parquet format. After performing reconciliation on this dataset, we get the following output.

#spark-application #spark-quality-checks #spark #reconciliation #data-science

Dynamic Partition Pruning in Spark 3.0

Dynamic Partition Pruning in Spark 3.0

With the release of Spark 3.0, big improvements were implemented to enable Spark to execute faster and there came many new features along with it. Among them, dynamic partition pruning is one. Before diving into the features which are new in Dynamic Partition Pruning let us understand what is Partition Pruning.

Partition Pruning in Spark

In standard database pruning means that the optimizer will avoid reading files that cannot contain the data that you are looking for

#apache spark #scala #partitioning in apache spark #spark #spark sql