The Attunity Blog
Today, Attunity is thrilled to announce the availability of Attunity Compose for Amazon Redshift, a new and innovative solution for automating and accelerating data warehousing and ETL in the AWS cloud!
“The mainframe is going away” is as true now as it was 10, 20 and 30 years ago. Mainframes are still crucial in handling critical business transactions, they were however built for an era where batch data movement was the norm and can be difficult to integrate into today’s data-driven, real-time, analytics-focused business processes as well as the environments that support them.
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.
Data warehouses form the foundation for many Big Data initiatives, helping guide management decisions to operate effectively, serve customers better and realize a competitive advantage. So, it’s important to manage data efficiently so that you’ve got the right data in the right place at the right time. HPE, Hortonworks and Attunity have teamed up to do just that with a solution to help you offload your data warehouse and optimize your data architecture with Hadoop®.
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...