AWS Big Data Blog

Category: Analytics

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Amazon EMR 6.2.0 adds persistent HFile tracking to improve performance with HBase on Amazon S3

Apache HBase is an open-source, NoSQL database that you can use to achieve low latency random access to billions of rows. Starting with Amazon EMR 5.2.0, you can enable HBase on Amazon Simple Storage Service (Amazon S3). With HBase on Amazon S3, the HBase data files (HFiles) are written to Amazon S3, enabling data lake […]

Best Western slashes analytics costs, improves operations worldwide using Amazon QuickSight

This is a guest blog post by Best Western Hotels and Resorts. In their own words, “Best Western Hotels & Resorts is an award-winning global network of hotels located in over 100 countries and territories that offers accommodations for all types of travelers.” With 18 brands and varied ownership structures across geographies, Best Western Hotel […]

Automate dynamic mapping and renaming of column names in data files using AWS Glue: Part 1

A common challenge ETL and big data developers face is working with data files that don’t have proper name header records. They’re tasked with renaming the columns of the data files appropriately so that downstream application and mappings for data load can work seamlessly. One example use case is while working with ORC files and […]

Automate dynamic mapping and renaming of column names in data files using AWS Glue: Part 2

In Part 1 of this two-part post, we looked at how we can create an AWS Glue ETL job that is agnostic enough to rename columns of a data file by mapping to column names of another file. The solution focused on using a single file that was populated in the AWS Glue Data Catalog […]

How 1Strategy simplified their spreadsheet ETL process using AWS Glue DataBrew

This is a guest blog post by Pat Reilly and Gary Houk at 1Strategy. In their own words, “1Strategy is an APN Premier Consulting Partner focusing exclusively on AWS solutions. 1Strategy consultants help businesses architect, migrate, and optimize their workloads on AWS, creating scalable, cost-effective, secure, and reliable solutions. 1Strategy holds the AWS DevOps, Migration, […]

New features from Apache Hudi available in Amazon EMR

Apache Hudi is an open-source data management framework used to simplify incremental data processing and data pipeline development by providing record-level insert, update and delete capabilities. This record-level capability is helpful if you’re building your data lakes on Amazon S3 or HDFS. You can use it to comply with data privacy regulations and simplify data […]

Top 9 performance tuning tips for PrestoDB on Amazon EMR

Presto is a popular distributed SQL query engine for interactive data analytics. With its massively parallel processing (MPP) architecture, it’s capable of directly querying large datasets without the need of time-consuming and costly ETL processes. With a properly tuned Presto cluster you can run fast queries against big data with response times ranging from subsecond […]

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Ingest Salesforce data into Amazon S3 using the CData JDBC custom connector with AWS Glue

Organizations that successfully generate business value from their data will outperform their peers. Many AWS customers require a data storage and analytics solution that combines the prospect information stored in Salesforce, a popular and widely used customer relationship management (CRM) platform, with other structured and unstructured data in their data lake to innovate and build […]

Export and import Kibana dashboards with Amazon ES

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Kibana is a popular open-source visualization tool designed to work with Elasticsearch. Amazon OpenSearch Service provides an installation of Kibana with every Amazon OpenSearch Service domain. Users of Kibana can create visualizations and add them into a dashboard. As organizations […]

Build a DataOps platform to break silos between engineers and analysts

Organizations across the globe are striving to provide a better service to internal and external stakeholders by enabling various divisions across the enterprise, like customer success, marketing, and finance, to make data-driven decisions. Data teams are the key enablers in this process, and usually consist of multiple roles, such as data engineers and analysts. However, […]