New Talend Research Identifies Cloud Data Warehouse Trends and Best Practices for 2019
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“TDWI sees a wide range of data-driven IT systems moving to the cloud aggressively, and this includes the data warehouse,” said Philip Russom,
While survey respondents noted that adopting CDWs was critical to helping them achieve faster performance and lower costs, and take advantage of cloud features, there were a number of challenges associated with CDWs as well. Over 50 percent respondents indicated “data governance” as a top challenge, closely followed by “integrating data across multiple sources” at over 40 percent, and “getting data into the warehouse” at about 38 percent. Organizations data analytics needs in a CDW are becoming increasingly complex. Over 35 percent respondents expressed the need for in-memory processing, supporting structured and unstructured data, and integration with third-party analytics tools. As a result, CDWs need to accommodate a wide variety of data and serve a broad range of technical use cases.
Interestingly, 62 percent of respondents in the process of implementing CDWs want them to complement a data lake for analytics. All survey respondents were interested in features such as data quality, metadata management, processing and transforming data both before and after data is loaded to a CDW. As these requirements cannot be met solely by CDW technologies, the response suggests a need for integration solutions to complement the infrastructure. CDWs have to be enabled to accommodate a range of use cases, from business to technical, and support increases in speed and scale, while handling both current and future needs.
“Cloud data warehouses enable enterprises to build data-fueled use-case applications and dynamically deploy data clusters. However, to be successful, enterprises need to understand the entire organization’s requirements,” said Ashley Stirrup, chief marketing officer at Talend. “Most enterprises using CDWs expect to be able to push data in and the rest will follow suit. In order to realize the full benefits – outside of just lowering costs – data architects need to be aware of how every business unit is using data and focus on integration.”
Don’t overlook other architecture and data integration needs when building a CDW. Unlike some point solutions, Talend integration helps optimize and scale data processing before and after its placed in a CDW for complex and advanced processing and transformations. Visit Talend to download the full survey results.
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