Category: Analytics

In this blog post, we are going to focus on cost-optimizing and efficiently running Spark applications on Amazon EMR by using Spot Instances. We recommend several best practices to increase the fault tolerance of your Spark applications and use Spot Instances. These work without compromising availability or having a large impact on performance or the length of your jobs.

This post shows a step-by-step walkthrough of how to set up a cross-account Amazon Redshift COPY and Spectrum query using a sample dataset in Amazon S3. The sample dataset is encrypted at rest using AWS KMS-managed keys (SSE-KMS). About AWS Key Management Service (AWS KMS) With AWS Key Management Service (AWS KMS), you can have […]

The EMRFS S3-optimized committer is a new output committer available for use with Apache Spark jobs as of Amazon EMR 5.19.0. This committer improves performance when writing Apache Parquet files to Amazon S3 using the EMR File System (EMRFS). In this post, we run a performance benchmark to compare this new optimized committer with existing committer […]

This blog post provides an overview of the issues with how open-source Spark handles node loss and the improvements in Amazon EMR to address the issues.

Climate Change continues to have a profound effect on our quality of life. As a result, the investigation into sustainability is growing. Researchers in both the public and private sector are planning for the future by studying recorded climate history and using climate forecast models. To help explain these concepts, this post introduces the Global […]

Clickstream events are small pieces of data that are generated continuously with high speed and volume. Often, clickstream events are generated by user actions, and it is useful to analyze them. For example, you can detect user behavior in a website or application by analyzing the sequence of clicks a user makes, the amount of […]

With the ever-evolving and growing role of data in today’s world, data governance is an essential aspect of effective data management. Many organizations use a data lake as a single repository to store data that is in various formats and belongs to a business entity of the organization. The use of metadata, cataloging, and data […]

In this post, we talk about designing a cloud-native data warehouse as a replacement for our legacy data warehouse built on a relational database. At the beginning of the design process, the simplest solution appeared to be a straightforward lift-and-shift migration from one relational database to another. However, we decided to step back and focus […]

Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, […]

Bannerconnect uses programmatic marketing solutions that empower advertisers to win attention and customers by getting their ads seen by the right person at the right time and place. Data-driven insights help large advertisers, trade desks, and agencies boost brand awareness and maximize the results of their digital marketing. Timely analysis of log data is critical […]