Big data is a critical part of business processes today, and there are few tools more essential here than Hadoop. This framework shot to the top of the market thanks to its ability to process incredibly large data sets, an ideal capability in the current data-driven world. The Java-based tool is also free, making it available for businesses of any size in every industry sector.
However, in order for Hadoop to work correctly, enterprises must input the considerable amount of data that they collect in a consistent basis. In the past, this was a struggle, as many companies have disconnected and siloed data sources that aren't integrated or easily accessed for data transference.
This is where Data Realty's Data Gateway comes in, and becomes a paramount part of the big data analytics puzzle.
Hadoop: Key to the analytics kingdom
For many businesses, Hadoop made it possible to analyze amounts of information that previously seemed insurmountable. "Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes," TechTarget explained. "Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure."
In addition to significantly lessening the chances of system failure in the face of inoperative nodes, Hadoop's analytics capabilities quickly made it the gold standard when it came to big data. As companies increasingly turn to analytics initiatives for some of their most important corporate decisions, tools like Hadoop become even more popular - and essential.
In fact, according to a report from TechNavio, the global Hadoop market is on track to expand at more than a 50 percent compound annual growth rate through 2019. As businesses continue to demand cost-efficient analytics solutions to address their growing data repositories, Hadoop will be a favored tool.
Main challenges with Hadoop data analytics
Hadoop's robust market standing doesn't mean the platform comes without obstacles. Data Realty Chief Technology Officer Tom Panozzo noted that there are potentially thousands of Hadoop clusters that stand empty in frameworks at businesses and data centers across the country. At the same time, there are also a significant number of clusters that do contain data, but aren't providing the valuable insights that big data analytics initiatives are known for.
"Hadoop is one piece in a series of components with significant technical and business hurdles, but everyone thinks they only need Hadoop," Panozzo said.
One of the biggest challenges here is how to effectively transfer data from the enterprise infrastructure into Hadoop clusters on a consistent and automated basis. After all, without access to the latest information, businesses can't hope to obtain actionable results from their Hadoop analytics.
"You have to have real-time data to have real-time analytics," Panozzo pointed out. "The answers are only as good as your data, and your business only runs as effectively as your answers."
How Data Gateway can help
In order to address these issues, businesses need a solution that can help them aggregate and transfer their critical data to the Hadoop platform. What's more, this tool must take the process a step further by putting this information into the correct format so that is it stated and ready to be analyzed.
Enter Data Gateway, Data Realty's unique and industry-leading solution that can provide all of these capabilities - and then some.
Data Gateway ensures that a secure tunnel is established for data transfers, and that this path is integrated with the company's current infrastructure. In this way, data travels through an encryption-protected gateway, creating a compressed connection that links internal data repositories with Hadoop.
When companies work with Data Realty, they're also utilizing our Hadoop Data Hub. This asset, in conjunction with Data Gateway, ensures businesses leaders and analysts have unparalleled control over their critical data, enabling them to leverage it to answer the company's most important big data questions.
With Data Gateway, your company is able to make decisions about which data is shared and transferred, directing the Gateway's entire process through the platform's pre-configured interface. In this way, your IT team always has access, and can monitor, manage and maintain each and every data stream as they are organized in the Hadoop Data Hub.
Data Gateway combined with the Hadoop Data Hub create a seamless and secure environment for your big data, ensuring that your company is in the best position to glean valuable, actionable insights from its analytics.
For more information about Data Gateway and Hadoop Data Hub and how these systems can benefit your organization, contact Data Realty today.