Trifacta reached out to introduce its data transformation product. The company hopes to change how business analysts, IT analysts and data scientists work with data. Here's what the company has to say about its process:
The big data revolution has focused new light on an old problem: data has long been too complex for most people to work with. The unprecedented volume and variety of big data puts additional stress on the data scientists and analysts who can work with data, while business analysts and other professionals are often excluded from the process. Trifacta’s Data Transformation Platform, powered by our Predictive Interaction™ technology, enables users to unlock the potential of big data, easily transforming raw, complex data into clean and structured inputs for analysis. We create a partnership between user and machine, with each side learning from the other and becoming smarter with each experience.
Data transformation platform
Trifacta’s Predictive Interaction™ approach, the company says, makes it possible for data analysts to spend much less time integrating, cleansing and wrestling data into the appropriate form so that analysis can begin much more quickly. Trifacta claims that analysts can be up to 10 times more productive. The company's data platform has three components, discovery, structure and content.
Trifacta's technology makes it possible for analysts to work with data at a very highly level, that is, without having to focus too much on its current structure or formatting. Trifacta displays the data in a highly visual format so that analysts can quickly determine what segments of a data stream should be part of the current analysis project.
Trifacta provides tools to make it straightforward for these streams of data to be put into the required structure for later analysis. Data analysts are allowed to interact directly with data streams without having to develop their own custom built tools.
Analysts are presented with a ranked list of suggested transformations and can browse through the outcome of each transformation.
The result is that the appropriate content for each analysis project can be quickly and visually assembled.
When the marketing mavens speak in glowing terms about what big data can do for companies, they often leave out the immense amount of work analysts and data scientists have to do simply to get data from a number of sources into a common format so that analysis can be done at all. If they mention this process at all, they usually mention only that data from many different operational sources must be pre-processed so that analysis can be accomplished.
The truth is that this process is difficult and is a combination of art and science. Some companies hoping to make use of their operational data to learn more about their customers and processes have trouble getting out of the starting blocks at all.
Trifacta believes that its data platform can quickly address this set of challenges and put big data analysis to work for companies of all sizes. Trifacta isn't alone in recognizing this challenge. It is the same challenge that database companies had when creating data warehouses using a number of different data sources.
This means that enterprises would be wise to learn what companies such as IBM, Oracle, Microsoft and other database suppliers and their partners already offer. While it is possible that Trifacta might have a superior product for companies' big data journey, looking at all of the different approaches for data transformation before a decision and signing a check would be wise.