Tag: transformation
Beyond the Hype: 10 Core Principles for AI Success
The paradigm shift ushered in by Artificial Intelligence (AI) in today's business and technological landscapes is nothing short of revolutionary. AI's potential to transform traditional business models, optimize operatio Read more…
Forrester Shares the 411 on Data Fabric 2.0
Since the data fabric concept debuted a few years ago, it has become a popular method for enterprises to integrate disparate data management tools. Fabrics are yielding dividends for users, but nothing stays still in big Read more…
Can We Stop Doing ETL Yet?
Despite the advances we've made in data science and advanced analytics in recent years, many projects still are beholden to a technological holdover from the 1980s: extract, transform, and load, or ETL. It's uncanny how Read more…
Attunity Brings CDC to Google Cloud
Enterprises that are looking to push transactional data from on-premise systems into Google's cloud environment may want to check out the latest from Attunity, which today announced support for Google Cloud Platform with Read more…
Tamr Whips Semi-Structured Data Into Shape
Big data startup Tamr today came out of stealth mode with a new product that leverages predictive algorithms and crowdsourcing from subject matter experts to automate much of the work of transforming semi-structured data Read more…
Automating the Pain Out of Big Data Transformation
Having a big data set is a bit like owning a big house. There are many more activities available to you and your friends, but at the end of the day, keeping the house clean and tidy is a major expense. What the world really needs right now is a way to automate the process of cleaning, normalizing, and preparing the big data set (the house) for the next analysis (party). Luckily, the big data community has responded with new offerings that take data transformations to new automated heights. Read more…
Trifacta Gets $12M to Refine Raw Data
One of the most pressing problems affecting big data analysis projects is the difficulty in getting clean data to work with. Whether you’re planning to use MapReduce or a fancy machine learning algorithm to glean insights from your data, you’re not going to get very far into your project if the data is messy, unclean, or incomplete. Data transformation startup Trifecta just got $12 million to build a product that addresses this problem. Read more…
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