Category: Amazon Athena

Customers are building databases, data warehouses, and data lake solutions in isolation from each other, each having its own separate data ingestion, storage, management, and governance layers. Often these disjointed efforts to build separate data stores end up creating data silos, data integration complexities, excessive data movement, and data consistency issues. These issues are preventing […]

The global retail market continues to grow larger and the influx of consumer data increases daily. The rise in volume, variety, and velocity of data poses challenges with demand forecasting and inventory planning. Outdated systems generate inaccurate demand forecasts. This results in multiple challenges for retailers. They are faced with over-stocking and lost sales, and […]

Financial companies process hundreds of thousands of documents every day. These include loan and mortgage statements that contain large amounts of confidential customer information. Data privacy requires that sensitive data be redacted to protect the customer and the institution. Redacting digital and physical documents is time-consuming and labor-intensive. The accidental or inadvertent release of personal information […]

Organizations with online businesses have to be on guard constantly for fraudulent activity, such as fake accounts or payments made with stolen credit cards. One way they try to identify fraudsters is by using fraud detection applications. Some of these applications use machine learning (ML). A common challenge with ML is the need for a […]

“It is not the strongest of the species that survives, nor the most intelligent. It is the one that is most adaptable to change.” – often attributed to Charles Darwin One common strategy for businesses that operate in dynamic market conditions (and thus need to continuously correct their course) is to aim for smaller, independent […]

Over the past few years, midsize and large enterprises have adopted vertical integration as part of their strategy to optimize operations and profitability. Vertical integration consists of separating different stages of the production line from other related departments, such as marketing and logistics. Enterprises implement such strategy to gain full control of their value chain: from the […]

Many organizations are moving their data from silos and aggregating it in one location. Collecting this data in a data lake enables you to perform analytics and machine learning on that data. You can store your data in purpose-built data stores, like a data warehouse, to get quick results for complex queries on structured data. […]

With the introduction of cloud technology and by extension the rapid emergence of Internet of Things (IoT), the barrier to entry for creating smart building solutions has never been lower. These solutions offer commercial real estate customers potential cost savings and the ability to enhance their tenants’ experience. You can differentiate your business from competitors […]

For decades, enterprises used online analytical processing (OLAP) workloads to answer complex questions about their business by filtering and aggregating their data. These complex queries were compute and memory-intensive. This required teams to build and maintain complex extract, transform, and load (ETL) pipelines to model and organize data, oftentimes with commercial-grade analytics tools. In this […]

This post was written by Jaime Hall of KFC At Kentucky Fried Chicken (KFC), our platform has constantly evolved over the past four years. Since the shift to bring all development in house, we’ve been making great progress. During this time, KFC has grown dramatically within the digital space. Underpinning it all, we aim to […]