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How to modernize Enterprise Data Warehouse solutions using open source? Enterprise Data Warehouses have been around for more than 30 years and have become an essential part of any business intelligence operation. It is basically the science of storing and retrieving data so that some meaningful analysis can be performed on that data to corroborate / support a business decision or to predict a business outcome, while also offering secure access to only authorized users. And, by modernizing age-old EDW systems through the […]

Use case: Mobile Application with offline first approach One of Ashnik’s customers – a top Insurance company in Asia was looking to develop a mobile application with online & offline capabilities. The needs being: To enable the field agents to access their customers’ insurance related information for read and offline operations Subsequently, sync all the insurance related customer data, captured by the field agents while being offline, back to the data centre  – when the device goes online later The Goal of the […]

In this day and age of Big data, where data is raw material of business and is mined, analyzed to get precious information, organizations cannot afford to lose data. Recently we came across a requirement where customer who is one of the leading insurance providers in South East Asia. The Customer wanted the data on their agent’s (field agents) devices to be uploaded onto a common server. This was  particularly required to ensure that the data on the device is not lost […]

Cloud is already a key IT platform for large enterprises and database in cloud will be the next big leap. Most of the new age companies who started operations in the last decade have already reaped the benefits of database in a cloud environment or Database-as-a-Service. But there has been some resistance at certain enterprise levels, when it comes to putting database in Cloud. We can feel this resistance whenever there is a discussion about cloud adoption with enterprises in retail, banking, […]

We keep having so many conversations with our customers, technology associates and regional partners across various geographies, and no discussion is really different. It commonly revolves around the need of different types of databases and the different data-models. For starters, an ISV vendor who is currently using a noSQL store to store unstructured data for events form sensors (in JSON format); wanted to know if that can actually be merged with relational data and stored together in a relational database. I […]