When I think of “big data”, I immediately envision companies such as Oracle Corp (ORCL) and International Business Machines (IBM) designing massive databases brimming with information. These companies often provide the backbone for the structure needed to capture information, yet rely on other outlets such as social media and internet companies to accumulate user input.

To capitalize on this theme, Pure Funds recently released the PureFunds ISE Big Data ETF (BDAT), which tracks an index of 32 companies engaged in data aggregation and structural support. This includes big names such as IBM and ORCL alongside top-tier internet firms such as Google Inc (GOOG), Facebook Inc (FB) and Twitter Inc (TWTR).

If the Pure Funds name sounds familiar, it's because they are also behind the wildly successful PureFunds ISE Cyber Security ETF (HACK), which has accumulated over $1.3 billion in assets over the last 8-months. HACK was the first ETF designed to focus solely on cyber security companies and benefitted immensely from a fast growing industry at a pivotal (perhaps vulnerable) moment in time.

Now DBAT will try to replicate that success by melding together a unique index of technology stocks with both growth and value characteristics. The index DBAT is based on divides its constituents into two categories – application/solutions providers and data origination providers. Currently, 63% of the portfolio will be dedicated to data structure, with 37% focused on front-end data accumulation.

In addition, 86% of the portfolio is dedicated to U.S.-based companies, while just 14% reside overseas. This ETF will sport an expense ratio of 0.75%, which is similar to the other niche technology ETFs in the Pure Funds family.

That expense ratio seems somewhat on the high side for an index-based exchange-traded fund. However, investors have seemingly become more forgiving towards unique indexes or focused industry groups with a value proposition they can't find elsewhere.