Tag: data transformation
The Seven Sins of Data Prep
Data preparation is often considered a necessary precursor to the “real” work found in visualizing or analyzing data, but this framing sells data prep short. The ways in which we cleanse and shape data for downstream Read more…
Data Engineers in Hot Demand
The big data community has been dealing with the data scientist shortage ever since big data became a thing. Now we're learning that there's possibly an even bigger shortage of another type of data professional: the data Read more…
How This Instrument Firm Tackled Big Data Blending
Thanks to the ongoing digitalization of the world, we're constantly awash in data of all types. From structured data like sales reports and customers list to semi-structured data like photographs and clickstreams, nearly Read more…
Taming Unstructured Data with Cognitive Computing
Contending with unstructured data is no longer a priority reserved for the most well-financed, IT-savvy organizations, like Google and Facebook. As the world’s data continues to increase at nearly exponential rates, th Read more…
Big Data’s Cold Feet Syndrome
With all the hype around big data, it sometimes seems that everybody and her grandmother are doing it. But the truth is that implementing big data analytics can be almost as difficult as it is potentially profitable. And Read more…
Salesforce Analytics Cloud: Now with More Hadoop
Salesforce customers who use the vendor's hosted Wave analytics platform now have an easier way to access data from their on-premise Hadoop clusters and cloud-based big data repositories. Today's launch of Salesforce Wav Read more…
How Spark Drives Midsize Data Transformation for Trifacta
Trifacta was founded several years ago with the goal of automating the task of cleansing and transforming big data, and the combination of Hadoop and MapReduce was a good match. As customers adopted the product, they rea Read more…
How Dannon Upgraded Its Reporting Culture with Big Data Tooling
Like many large companies, Dannon is awash in data. Manufacturing and distribution data. Sales and marketing data. Internal data from SAP, and external data from third-party providers. Historically, getting all this data cleaned and prepped for analysis has taken a lot of time, effort, and money. But about a year ago, Dannon adopted an automated data transformation tool that has the potential to rewrite the company's relationship with data. Read more…