Today, big data environments are the beneficiaries of data replication and CDC technologies. As we have discussed, the most significant bottleneck for big data applications is moving the data into the environment. Replication provides simple, yet rapid methods for initial loads (thereby addressing our first technical objective of reducing data latency), while CDC ensures that the big data environment’s view remains consistent with the source data systems (addressing our third technical objective─ maintaining consistency).

Attunity Blog
Insurance Companies Boost Chances through High-Speed Data
Insurance providers are surrounded by information. The very act of creating policy terms is based on a careful assessment of information, and dealing with customers directly opens companies to a wealth of new facts and figures.
Improving HP NonStop Data Movement: Harnessing the Winds of Change
This is the fourth of a multi-post series for the NonStop community, pulling highlights from my most recent opinions paper on data replication along with insights gained at the recently completed user event, HP Discover 2012.
Who Says Data Replication Has to Be Hard?
This five-part series is designed for technical audiences – it explores Attunity Replicate’s architecture in more detail and illustrates Attunity’s commitment to unlocking information assets through high performance, scalable, and easy-to-use solutions. Read the fourth post below to learn how Attunity Replicate makes it simple and intuitive for IT teams to build and manage replication tasks.
Looking for Near Real-Time Access to Data? Here's How Attunity Replicate Does It
This five-part series is designed for technical audiences – it explores Attunity Replicate’s architecture in more detail and illustrates Attunity’s commitment to unlocking information assets through high performance, scalable, and easy-to-use solutions. Read the third post below to learn from a technical perspective how Attunity Replicate provides enterprises with near real-time access to their data.
In Search of Efficient Data Replication: A Closer Look at the Attunity Replicate Architecture
This five-part series is designed for technical audiences – it explores Attunity Replicate’s architecture in more detail and illustrates Attunity’s commitment to unlocking information assets through high-performance, scalable, and easy-to-use solutions. Read the first post below to learn how Attunity Replicate handles full load and change data capture based replication. Attunity Replicate is designed to meet a wide variety of data replication needs. Two common ways that enterprises use the product to improve information availability are through full load replication and incremental or change data capture (CDC) replication. Attunity Replicate’s architecture is designed in a way that these operations are done efficiently and guarantee data consistency.
Developing Integration Toolboxes to Complement Enterprise Architectures
This six-part series on information and enterprise architectures focuses on how organizations can transform their data into a valuable asset. Read the sixth post below to learn how to create an integration toolbox to complement your overall enterprise architecture.
Integrating Data to Increase the Value of Enterprise Information
This six-part series on information and enterprise architectures focuses on how organizations can transform their data into a valuable asset. Read the fifth post below to learn how one organization used data integration to increase the value of their enterprise information.
Should Your Data Integration Arsenal Include Extract, Expedite, & Load (EEL) Tools?
This two-part series focuses on a new model for data integration which meets the requirements of organizations that place a higher priority on fast movement of data than on data transformations. Read the second post below to learn more about EEL tools and whether they are the right solution for your data integration needs.
Real-Time Data Challenges in Business Intelligence & Analytics Strategies
This five-part series on the banking and financial services industry focuses on what role analytics can play in better business decision-making that enhances the bottom line. Read the fifth and final post in this financial services blog series below to learn more about how banks and financial services firms can address real-time data challenges in their analytics investment strategies.
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