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Introducing AWS Glue crawler and create table support for Apache Iceberg format

AWS Big Data

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Solution overview For our example use case, a customer uses Amazon EMR for data processing and Iceberg format for the transactional data. Choose Create.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). About the authors Sivaprasad Mahamkali is a Senior Streaming Data Engineer at AWS Professional Services.

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BusinessObjects in the Cloud – No Big Rush and No Big Deal

Paul Blogs on BI

While we have definitely seen an acceleration in organizations using or moving operational applications to the cloud, Business Intelligence has lagged behind. It therefore makes sense when they move their data warehouses and BusinessObjects to move them to their existing private cloud.

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Aaand the New NiFi Champion is…

Cloudera

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. His submission post can be found here.

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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Create a QuickSight template from your analysis A QuickSight template is a named object in your AWS account that contains the definition of your analysis and references to the datasets used. Create an Amazon Redshift data source in AWS CloudFormation In this step, we add the AWS::QuickSight::DataSource section of the CloudFormation template.

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Introducing Amazon EMR on EKS job submission with Spark Operator and spark-submit

AWS Big Data

Verify the job by running the following command: kubectl get pods -n data-team-a Enable access to the Spark UI The Spark UI is an important tool for data engineers because it allows you to track the progress of tasks, view detailed job and stage information, and analyze resource utilization to identify bottlenecks and optimize your code.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Look toward the evolving changes in system architecture to understand where data governance will be heading. Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points. In other words, #adulting.