The Attunity Blog
When a giant online sports apparel and memorabilia retailer wanted to move their data into a data lake in the cloud, they needed a seamless method to migrate their data. Read on to learn how Fanatics, the world's most-licensed sports retailer, used Amazon Web Services and Attunity CloudBeam to move data into a cloud-based data lake to perform data analytics.
Mercedes-Benz are renowned the world over for well-engineered, safe, reliable cars designed to maximise driver experience with style, comfort and easy to use controls.
Their business is underpinned and run by SAP. Whilst more than adequate at helping their business “run better”, the world of SAP sometimes leads to its own nuances and complexities, especially as the database grows. With as many as twenty independent Dev systems supporting a continuous stream of new development projects, one can start to appreciate the Mercedes-Benz need for a slick Test Data Management solution.
This year, North Bridge, an inception-to-growth stage venture capital firm and Wikibon, a research analyst firm, along with Attunity and 40+ cloud technology firms are collaborating on the 6th annual Future of Cloud Computing Survey.
Judging from the momentum from all of the big players, if you have a data warehouse, you will soon be asked if it is time to move to the cloud. This is a big decision. Most companies have been working for many years on their data warehouse, and are not going to move it anywhere or change how it works without good reason. So, the vendors are going to have to make a strong case to justify this move.
This week, Attunity was in New York City for the Fall 2016 Strata + Hadoop conference. The theme of this year’s conference was “Make Data Work.” We had a big presence at the conference starting with signage you could see from blocks away as you headed towards the conference.
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.
One of the top challenges for BI and analytics professionals in a cloudy, big data world is data movement and integration . The growing complexity of reporting across large volumes of heterogeneous data stored in different environments is daunting due to the principles of data gravity . Even with fast networks and improved caching, architects need to design solutions with distance, bandwidth, throughput, and latency performance considerations in mind.
Recently I co-presented with Attunity as part of the 24 Hours of PASS webcast where we showcased architectural design patterns and...
Hard to believe that this year’s Teradata PARTNERS 2016 conference, is over. After a year of planning, it was great to be on-site in Atlanta, Georgia at the conference. For those who have never attended, Teradata PARTNERS is the premier, customer-led global data conference.
This blog article was written with our partner Hortonworks, who is well known for their open source distribution of Hadoop or Hortonworks Data Platform for data-at-rest, also adds a data-in-motion solution (Hortonworks DataFlow) to enable organizations to manage all their data. Lisa Sensmeier, Director or Partner Alliances at Hortonworks and I describe our partnership and how you can learn more about the solutions to accelerate real-time data ingest into Hadoop. Working together, we educating the market about the benefits of our offerings in three ways this Fall.
It was 26 years ago that I heard words that forever changed my life uttered from my sweet mother’s voice, “Meet me at the hospital. The doctors think I might have cancer.” At the time, I was a young girl about to start my career and I was thrown in the middle of a gut wrenching real life problem with no data.