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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. All interactions are digital interactions. In a business context, this is defined as an interaction. billion market by 2026. It’s no surprise.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata.

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Optimizing Hive on Tez Performance

Cloudera

Refer to the YARN – The Capacity Scheduler blog to understand these configuration settings.) . This can be tuned using the user limit factor of the YARN queue (refer the details in Capacity Scheduler blog ). Container reuse: This is an optimization that limits the startup time impact on containers. hive.cbo.enable.

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New Amazon CloudWatch log class to cost-effectively scale your AWS Glue workloads

AWS Big Data

One of the most common questions we get from customers is how to effectively optimize costs on AWS Glue. AWS Glue interactive sessions and notebooks can help you reduce the cost of developing your ETL jobs. For more information about cost-saving best practices, refer to Monitor and optimize cost on AWS Glue for Apache Spark.

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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and later, S3 file metadata-based join optimizations are turned on by default.

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What is vibration analysis and how can it help optimize predictive maintenance?

IBM Big Data Hub

The primary parameters are amplitude, frequency and phase: Amplitude refers to the magnitude of the vibration, typically measured in units like displacement (mils or micrometers), velocity (inches per second or millimeters per second) or acceleration (g’s).

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. For third-party reference data, you take advantage of AWS Data Exchange data shares.