Are you looking to modernize your data architecture? If so, you’re not alone. According to Gartner, 90% of an enterprise organization’s information is siloed and unleveragable across business processes, meaning it takes too much time to find and understand the connections between data sources.
A full 40% of search applications search only unstructured information when gathering data for business intelligence. Do you trust that you’re getting complete and accurate answers to your search inquiries?
As many of our customers move their entire compute environment—including analytics and storage—into the Hortonworks distribution of Hadoop, Attivio has focused on gaining greater integration with Hortonworks. Having one platform repository in which to execute makes everyone's life simpler.
Forrester just released its latest Wave report. Unlike many on more mature technologies, this report on native Hadoop BI platforms included only six vendors, of which Attivio was one. In Forrester's estimation, there are no leaders in the market, just contenders and strong performers.
To stay in compliance with rapidly expanding international, federal, and local anti-money laundering (AML) regulations and avoid what can be career- and business-ending consequences, companies face the seemingly Herculean task of investigating every suspicious financial transaction, which can number in the tens of thousands every single month.
Hadoop is fast becoming the center piece of a modern data architecture. And Cloudera Enterprise provides the centralized management and robust support that you need to effectively operate Hadoop.
The modern data architecture stores data as is; it doesn't require pre-modeling. It needs to accommodate volume, velocity, and variety including structured and unstructured information. Hadoop does this very well.
Data-driven organizations know that the key to success through data is to make it available to as many people across the organization as possible. But every organization’s data is growing at exponential rates and is getting more complicated. This growth and complexity make current data preparation processes more challenging and often inefficient.
To get the right data out to the right people as quickly as possible organizations need to focus improvements on reducing the time required to gather and prepare data.
We talk a lot of about the amount of data organizations capture and how that data comes in many sizes and formats, from structured to semi-structured and even unstructured. We also know that much of that data isn’t used for decision-making, hidden in silos across the organization. All of this makes it difficult to build a unified view of your data.
But the challenge with building a unified view is only partly due to data silos.