What's The Best Path To Big Data Insight?
We sort through this week's clashing din of news from Teradata, SAS, Pivotal, Platfora and Hortonworks in search of the inside edge to big data breakthroughs.
On the one hand there are the incumbents, companies like Teradata and SAS that have been solving your large-scale data problems and most advanced analytics challenges for decades. Then there are the big data startups and visionaries, including the likes of Pivotal and Platfora, that are "all in on Hadoop" and insist that big data opportunities and new platforms demand new tools. Then there's the wild west of purely open source options.
So which option is the best route to tapping into new data sources, like clickstreams, mobile, social and sensor data, to form a more complete view of customers, products or supply chains? This week brought a fresh round of announcements from the vendors, each one offering its own view of the best path to big data opportunity. Here's a rundown on the themes and promises behind all the similar-sounding big data buzzwords.
Teradata Wants To Do It All
Teradata offers a Hadoop software distribution (from partner Hortonworks) and a Hadoop appliance as part of a broad, all-encompassing Unified Data Architecture, but the message from this stalwart data warehousing leader of late is that the Hadoop platform and ecosystem are too green, too disparate, too hard and too unfamiliar for most enterprises to handle anything but high-scale, low-cost storage. Read full story on InformationWeek
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