#spark

[ follow ]
fromMedium
1 week ago

Exploring Kubeflow: Part 3

Working with Amazon S3 buckets in the Kubeflow Spark Operator and Python is complicated, with issues surrounding dependency management and file access within worker pods.
Software development
fromZDNET
1 month ago

GitHub's AI-powered Spark lets you build apps using natural language - here's how to access it

GitHub's Spark app-building platform offers AI-driven design and launch capabilities for micro apps through natural language prompts.
Scala
fromMedium
2 months ago

Time-Traveling Through Spark: Recording Distributed Failures Across Space and Time

Time-travel debugging in distributed Spark applications on Kubernetes allows for precise bug tracking by recording driver and executor executions.
frommedium.com
3 months ago

Day 4Identifying Top 3 Selling Products per Category | Spark Interview Question.

To identify the top-selling products in each category, begin by grouping the sales data by category and summing the total units sold for each product in that category.
Cryptocurrency
fromBitcoin Magazine
3 months ago

Magic Eden Partners With Spark To Bring Fast, Cheap Bitcoin Settlements

Magic Eden integrates with Spark to revolutionize Bitcoin trading by improving transaction speed and minimizing fees.
frommedium.com
3 months ago

How I Made My Apache Spark Jobs Schema-Agnostic ( Part-2 )

Dynamic column transformations enable us to define rules within the schema, allowing Spark jobs to adapt without hardcoding changes, simplifying the data pipeline process.
Scala
fromawstip.com
4 months ago

Spark Scala Exercise 23: Working with Delta Lake in Spark ScalaACID, Time Travel, and Upserts

Delta Lake enhances data reliability and governance for data lakes by integrating warehouse features.
Data science
fromawstip.com
4 months ago

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Implementing a custom partitioner in Spark helps manage load balance and optimize data distribution.
fromawstip.com
4 months ago

Spark Scala Exercise 20: Structured Streaming with ScalaReal-Time Data from Socket or Kafka to

Spark Structured Streaming processes real-time data continuously, enabling real-time analytics on unbounded streams.
Data science
frommedium.com
4 months ago

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Custom partitioners in Spark Scala enable optimal control over data distribution for RDDs.
[ Load more ]