Create
- Ask a question
- Create an article
- Topics
- Questions
- Articles
- Users
- Badges
Sign in

Webinar

Cancel

Cancel

All Posts

Updated
Created
Hottest
Votes
Most viewed

From Webinar How to Evaluate a Cloud-based Apache Spark Platform: Doesn't Spark need to integrate with a file management system, such as HDFS? So comparing Spark Vs. Hadoop seems strange, as Spark as I know it runs on HDFS.

1 Answer

1 Votes

319 Views

answered by

VladyslavAfrin on Jul 4, '19

webinar

VladyslavAfrin

From Webinar - Apache Spark as a Unified Engine: Is Apache Spark (using Python or Spark SQL ) replacing dimensional modeling process such as a Star or Snowflake schema?

0 Answers

0 Votes

318 Views

commented by

jgp123 on Sep 23, '18

webinar

From Webinar Databricks for Data Engineers: Can we implement Type 2 logic using Spark and do inserts and updates to target an RDBMS?

0 Answers

0 Votes

302 Views

commented by

Dark-spark2 on Apr 4, '17

webinar

From Webinar - Apache Spark as a Unified Engine: What is the best open source front-end for Spark queries?

0 Answers

0 Votes

324 Views

published by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: Are there any tools/utilities to convert MapReduce to Spark?

0 Answers

0 Votes

314 Views

published by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: When we create an application with Spark, we must control our cluster. So what's the difference between Apache Ambari and Apache Hadoop YARN?

0 Answers

0 Votes

275 Views

published by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: Is it advisable to use Spark on the data ingestion side as a replacement to Sqoop?

0 Answers

0 Votes

301 Views

published by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: For ETL batch loads which process high data volumes, how would memory size constraints for Spark be addressed?

0 Answers

0 Votes

288 Views

published by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: What are the current differences between Spark available on Amazon AWS and the Databricks provided version of Spark?

0 Answers

0 Votes

316 Views

asked by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: What is the release date for Spark 2.2.0?

0 Answers

0 Votes

399 Views

asked by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: Are there any plans to create a content based filtering recommendation algorithm in MLlib?

0 Answers

0 Votes

260 Views

asked by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: What is the best practice for storing metadata for a Spark environment?

0 Answers

0 Votes

305 Views

asked by

wayneltd on Jan 18, '17

webinar

From Webinar - Apache Spark as a Unified Engine: Are there any projects under way that integrate Databrick/Spark with IBM BigIntegrate?

0 Answers

0 Votes

285 Views

asked by

wayneltd on Jan 18, '17

spark·webinar

From Webinar Apache Spark MLlib 2.x: Migrating ML Workloads to DataFrames: Do the Databricks notebooks allow us to experiment with the streaming modeling algorithms? Did those change much from 1.6 to 2.x?

1 Answer

0 Votes

321 Views

answered by

jules on Dec 13, '16

dataframes·mllib·apache spark·webinar·streaming

From Webinar Apache Spark MLlib 2.x: Migrating ML Workloads to DataFrames: Is the Spark Dataset superseding DataFrames? Will ML run on Datasets?

1 Answer

0 Votes

358 Views

published by

jules on Dec 13, '16

dataframes·apache spark·machine learning·webinar·datasets

1
2
3
4
5
›

115 Posts

11 Users

0 Followers

Topic Experts

There are no topic experts for this topic. Participate in the posts in this topic to earn reputation and become an expert.

Related Topics

apache spark dataframes machine learning mllib ml pipelines sparkr spark.ml s3 streaming spark adtech ml datasets data science databricks community spark.mllib statistics logging driver spark r spark-shell partitioning python kmeans

Product
- Databricks Cloud
- FAQ
Spark
Services
Company
- About Us
- Team
- News
- Contact
Careers
Blog

Databricks Inc.
160 Spear Street, 13th Floor
San Francisco, CA 94105

info@databricks.com
1-866-330-0121

Twitter
LinkedIn
Facebook
Facebook

© Databricks 2015. All rights reserved. Apache Spark and the Apache Spark Logo are trademarks of the Apache Software Foundation.

Anonymous
Sign in
Create
Ask a question
Create an article
Explore
Topics
Questions
Articles
Users
Badges