Mobile services subscribers use their connected devices for everything from voice, text, video, gaming, and more, creating enormous and fast-growing quantities of data. While this data carries great potential, Telecoms bear the difficult challenge of storing, navigating, and turning these huge data stores into actionable insights. Those telecom organizations that succeed in unlocking the intelligence gems hidden in these treasure troves of data often find themselves better poised to compete in an increasingly cluttered and competitive market.

The financial landscape has changed drastically over the last twenty years, as technological advancements and the internet revolution have enabled new and more complex financial business models. These changes brought with them new ways of interacting with customers and other financial institutions, and facilitated game-changing competition by narrowing certain barriers to entry. The digital transformation of financial services produced never-before-seen volumes of data growing at an unprecedented rate.

Hadoop came to prominence when the web exploded with unstructured data. The use of unstructured data is common for web analytics, where flexibility is required for unknown or compound fields (arrays, nested objects, or just unknown). The popularity of Hadoop for these use-cases led to its adoption, also for structured use-cases. For these cases, SQL query engines have been bolted on Hadoop, and convert relational operations into map/reduce style operations.

In the past, data was small, as were the number of data consumers. Most datasets were relatively simple, coming from a handful of ERP, CRM and other transactional sources. Traditional data warehouses were built to support this type of data. As computing hardware advanced, these databases got faster ‘for free’. However, they have by now become legacy technology incapable of utilizing new parallelized computing paradigms

SQream DB brings a new technological approach that eliminates data professionals’ struggles at the source, resulting in fast, accurate, up-to-the-minute dashboards from which vast new insights can be extracted. SQream’s GPU-accelerated data warehouse is designed for fast, unrestricted access to an organization’s full scope of data, even when data grows exponentially. SQream’s technology enables Tableau users to explore and productize interactive dashboards that power many aspects of modern data-driven organizations.