AWS Big Data

JUNE 5, 2023

To illustrate these capabilities, we explored examples of writing Parquet files to Amazon S3 at scale and querying data in parallel with Athena. In this post, we show how to use some of these APIs in an AWS Glue for Ray job, namely querying with S3 Select, writing to and reading from a DynamoDB table, and writing to a Timestream table.

Measurement 66

Measurement Management Interactive Analytics 66

CIO Business Intelligence

APRIL 21, 2022

Any evaluation of CDPs should begin with understanding how well the tools will interact with your current stack and how much custom code you will need to write. In parallel, an automated SEO engine pushes content into the general web. CDP systems boast broad collections of integrations, and all support APIs for customization.

Sales 145

Sales Marketing Dashboards Advertising 145

AWS Big Data

JULY 6, 2023

Extracting time series on given geographical coordinates from satellite or Numerical Weather Prediction data can be challenging because of the volume of data and of its multidimensional nature (time, latitude, longitude, height, multiple parameters). With AWS Step Functions , you can launch parallel runs of Lambda functions.

Machine Learning 129

Machine Learning Visualization IoT Digital Transformation 129

DataKitchen

FEBRUARY 4, 2021

Develop and write tests (human effort here). Version control is important to parallel development because it allows multiple people to update a set of files, keeping track of everyone’s changes. Parallel development requires branches and merges. Many people can check out copies of the baseline files and modify them in parallel.

Testing 147

Testing Software Management Data Analytics 147

AWS Big Data

DECEMBER 18, 2023

If the pipeline has many steps using map and parallel states, this also leads to increased cost due to increases in the state transition for running the pipeline from the beginning. You can use the Step Functions distributed map state to run hundreds of such export or synchronization jobs in parallel.

Metadata 120

Metadata Visualization Data Lake Data-driven 120

Cloudera

JULY 13, 2023

Repeated metadata reads problem in Impala + Iceberg Apache Impala is an open source, distributed, massively parallel SQL query engine. Any file read and write operation by the Iceberg library will go through the FileIO interface. Note that Iceberg manifest caching does not eliminate the role of CatalogD and Coordinator’s local catalog.

Metadata 70

Metadata Snapshot Data Warehouse Statistics 70

Ontotext

JUNE 15, 2023

This is where Kafka comes in as it simplifies the ETL (Extract, Transform, Load) process by coordinating all the participants using a message bus. This integration does not require developers to write any additional code, thereby making the process more scalable and reliable. The.graphdb.batch.commit.limit.ms

Machine Learning 52

Machine Learning Data Integration Big Data Testing 52