The Attunity Blog
When it comes to analytics, enterprises today have a surplus of data but a shortage of insights.Why the data surplus? Data warehouses, data lakes, and other repositories are brimming as volume, variety, and velocity continue to grow. Even as the tide continues to rise, enterprises are tapping into new data sources, such as social media and Internet of Things sensors, in order to gain new analytics opportunities. Today’s enterprises seek both to analyze more of their data and to reduce the costs related to their unanalyzed dark data.
We data folks live in exciting times. As we saw at the Strata + Hadoop show in San Jose, open source developers continue to deliver new ways to analyze high volumes of fast-moving data. One of the hottest, Apache Kafka, can feed data from thousands of applications to emerging platforms like HBase and Cassandra.
We data folks live in exciting times. As we saw at Strata + Hadoop World, open source developers continue to deliver new ways to analyze high volumes of fast-moving data. One of the hottest, Apache Kafka, can feed data from thousands of applications to emerging platforms like HBase and Cassandra. Enterprises can use Kafka message brokers, now supported as targets for Attunity Replicate, to tap real-time data streams from myriad sources to address a range of use cases.
US and European Union regulators are wrestling with mountains of red tape as they hammer out a data “Privacy Shield” agreement reached this month to preserve $260 billion of transatlantic trade in digital services.
Big Data analytics hold universal value because investors and businesses everywhere need to know more – about their customers, markets and partners. The more we know, the lower the risk of new ventures.
As in many families, my kids don’t share my excitement for my line of work. It’s not easy to explain the value of analytics and data management to a third grader, first grader and toddler. We are all students of how data analytics is changing our world. Learn more about how Attunity can help you integrate analytics data and change your organization.
It’s not hard to find examples of how Big Data analytics and artificial intelligence are re-defining healthcare.
Cerner integrates Electronic Medical Records and other files in a Cloudera Hadoop “Data Hub” that has saved lives by spotting bloodstream infections. IBM Watson, meanwhile, reviews millions of patient cases to diagnose a variety of medical conditions and prescribe personalized treatment plans.
Software like this exceeds the processing capacity of any doctor, which raises questions about the future of doctors and nurses.
And this job uncertainty...
Large SAP environments are like Rubik’s Cubes —make a single move to change one square, and the cascading effects are huge because the parts all interconnect. You need to plan many moves ahead.
This is top of mind for any IT professional focused on SAP. At the Americas’ SAP Users’ Group ( ASUG ) meeting last Friday outside of Nashville, Tennessee, Jeffrey Yell joked about the pain of interdependency while presenting best practices for his Center of Excellence at Louisiana-Pacific Corp. [If] “I stub my toe, then my arm goes up and my ear hurts!”
As another example, most...
This is the second in a series of blogs that examine how Fortune 500 companies use Attunity Visibility to manage their data more effectively. Part Two focuses on data warehouse performance.
Microsoft has empowered businesses to create, share and capitalize on data for most of four decades.
And we have partnered with Microsoft for more than 20 years, including a decade of collaboration on SQL Server. So I’m especially excited to discuss data management best practices with our customers at the annual SQL Pass conference this week.
We understand that as you adopt hybrid cloud environments, you need full mobility to analyze the right data in the right place at the right time. You might need some workloads on premise, using Microsoft Analytics Platform with SQL and...