AWS Big Data Blog

Category: AWS Lambda

Data monetization and customer experience optimization using telco data assets: Part 2

Part 1 of this series explains the importance of building and implementing a customer experience (CX) management and data monetization strategy for telecom service providers (TSPs), and the major challenges driving these initiatives. It also includes an AWS CloudFormation template to set up a demonstration of the solution using AWS services. It covers transforming and enriching […]

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We’ll walk through a solution that takes sets up a recurring Profile job to determine data quality metrics, and using your defined business rules.

Setting up automated data quality workflows and alerts using AWS Glue DataBrew and AWS Lambda

Proper data management is critical to successful, data-driven decision-making. An increasingly large number of customers are adopting data lakes to realize deeper insights from big data. As part of this, you need clean and trusted data in order to gain insights that lead to improvements in your business. As the saying goes, garbage in is […]

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Best practices for consuming Amazon Kinesis Data Streams using AWS Lambda

Many organizations are processing and analyzing clickstream data in real time from customer-facing applications to look for new business opportunities and identify security incidents in real time. A common practice is to consolidate and enrich logs from applications and servers in real time to proactively identify and resolve failure scenarios and significantly reduce application downtime. […]

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Detect change points in your event data stream using Amazon Kinesis Data Streams, Amazon DynamoDB and AWS Lambda

The success of many modern streaming applications depends on the ability to sequentially detect each change as soon as possible after it occurs, while continuing to monitor the data stream as it evolves. Applications of change point detection range across genomics, marketing, and finance, to name a few. In genomics, change point detection can help […]

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Building an event-driven application with AWS Lambda and the Amazon Redshift Data API

Event–driven applications are becoming popular with many customers, where applications run in response to events. A primary benefit of this architecture is the decoupling of producer and consumer processes, allowing greater flexibility in application design and building decoupled processes. An example of an even-driven application is an automated workflow being triggered by an event, which […]

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Event-driven refresh of SPICE datasets in Amazon QuickSight

Businesses are increasingly harnessing data to improve their business outcomes. To enable this transformation to a data-driven business, customers are bringing together data from structured and unstructured sources into a data lake. Then they use business intelligence (BI) tools, such as Amazon QuickSight, to unlock insights from this data. To provide fast access to datasets, […]

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Unified serverless streaming ETL architecture with Amazon Kinesis Data Analytics

Businesses across the world are seeing a massive influx of data at an enormous pace through multiple channels. With the advent of cloud computing, many companies are realizing the benefits of getting their data into the cloud to gain meaningful insights and save costs on data processing and storage. As businesses embark on their journey […]

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Automating bucketing of streaming data using Amazon Athena and AWS Lambda

In today’s world, data plays a vital role in helping businesses understand and improve their processes and services to reduce cost. You can use several tools to gain insights from your data, such as Amazon Kinesis Data Analytics or open-source frameworks like Structured Streaming and Apache Flink to analyze the data in real time. Alternatively, […]

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How to delete user data in an AWS data lake

General Data Protection Regulation (GDPR) is an important aspect of today’s technology world, and processing data in compliance with GDPR is a necessity for those who implement solutions within the AWS public cloud. One article of GDPR is the “right to erasure” or “right to be forgotten” which may require you to implement a solution […]

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