The Attunity Blog
Many of us are familiar with Apache Hadoop MapReduce, but what do we know about Apache Spark? More importantly, why should your enterprise learn more about the Spark execution framework?
Spark is an open-source, general-purpose engine for large-scale data processing. Spark supports rapid application development for big data and allows for code reuse across batch, interactive and streaming applications. Spark also provides advanced execution graphs with in-memory pipelining to speed up end-to-end application performance. Spark’s speed improvement over...
Data Scientists and business innovators of all types often want to test an idea with real data. And often they wait on DBAs who must wait on developers to write the necessary code for data integration. When the data set is finally ready, it often remains out of sync thanks to duplicative update processes.
Today Big Data integration gets a little easier for all the non-coders.
We’re excited to announce Attunity Replicate Express, a new downloadable version of Attunity Replicate whose easy drag-and-drop configuration and change data capture (CDC) technology cut the time, cost...
Moving data is tricky!
Not only for you, but for your programs and databases as well. Relational databases can be challenging when it comes to migrations because of the sheer complexity and variety of the data.
For the second time in as many months we are extending a new Big Data bridge for enterprises. Today Attunity announced a new cloud solution, Attunity CloudBeam for Microsoft Azure SQL Data Warehouse. This new solution helps our customers automate data loading from various on premise sources into the Azure SQL Data Warehouse quickly, easily and affordably. It is now available in the Azure Marketplace.
This is a busy time for IT professionals, but really when isn’t a busy time for IT? Attunity has a solution – Attunity Maestro – that can help. Here are three ways to learn more about how Attunity Maestro can help you orchestrate, automate and integrate your IT operations.
When speaking with customers, IT practitioners and release managers, we see many challenges with application release and its related process. We have highlighted seven of these challenges and have outlined ways to overcome them.
With the financial markets reaching an all-time high, this is a good time to discuss IT-related business challenges ahead. While the euphoria of a bull market alone isn’t the best indicator of impending risks in the technical infrastructure of our financial institutions, there are plenty of reasons for financial services companies to take the bull by the horns and take on DevOps methodologies in their application release processes.
I have heard it said that Release Management is a pain in the apps! And, this can be true. So, how do you minimize the pain? How can you get the most out of our application release? I’ve got 5 ideas for you.
Let’s face it…getting new application releases into production is challenging. The process is typically in direct conflict with the Operations team mandate of an always-on enterprise. Continuous Integration tools and DevOps culture tools have become essential parts aspects of any application release management environment.
Is your Big Data ready to move to the cloud? One of the most important components of a successful cloud-based Big Data analytics program is the ability to move data to cloud environments with ease. Learn how in this article.