article thumbnail

3 takeaways from WWE and the McLaren Formula 1 Team when optimizing digital performance

CIO Business Intelligence

For engineering teams, WWE operates under the pressure of delivering high-quality live broadcasts into the living rooms of millions of fans each week, from venues across the world. says Ralph Riley, Director of Broadcast IT Systems at WWE. They also put WWE in danger of missing SLAs with broadcast partners.

article thumbnail

Accelerate Amazon Redshift Data Lake queries with AWS Glue Data Catalog Column Statistics

AWS Big Data

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Some of the queries in our benchmark experienced up to 12x speed up.

Data Lake 104
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Can You Optimize your Spark Jobs and Attain Efficiency – Tips and Tricks!

Analytics Vidhya

The post How Can You Optimize your Spark Jobs and Attain Efficiency – Tips and Tricks! This article was published as a part of the Data Science Blogathon. Introduction “Data is the new oil” ~ that’s no secret and is. appeared first on Analytics Vidhya.

article thumbnail

Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. Then it broadcasts the barrier downstream. However, it continues to process partitions that are behind the barrier.

article thumbnail

Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 1

AWS Big Data

Internally, Apache Flink uses clever mechanisms to maintain exactly-once state consistency, while also optimizing for throughput and reduced latency. After the barriers from all upstream partitions have arrived, the sub-task takes the snapshot of its state and then broadcasts the barrier downstream.

article thumbnail

InfoTribes, Reality Brokers

O'Reilly on Data

Before the advent of broadcast media and mass culture, individuals’ mental models of the world were generated locally, along with their sense of reality and what they considered ground truth. What has happened? Reality has once again become decentralized. The InfoLandscapes. “Cyberspace.

article thumbnail

Optimized joins & filtering with Bloom filter predicate in Kudu

Cloudera

Pushing down column predicate filters to Kudu allows for optimized execution by skipping reading column values for filtered out rows and reducing network IO between a client, like the distributed query engine Apache Impala, and Kudu. Broadcast the generated hash table to all worker nodes. Join Queries.