Quick wins for modern analytics projects with Amazon Redshift and Stitch Data Loader
It’s no secret that the cloud data warehouse space is exploding. Driven by the need for on-demand, performant data warehousing solutions, businesses are turning to public cloud providers to modernize their analytics infrastructure and help them make better business decisions.
Among the leading data warehouse options from the public cloud providers is Amazon Redshift. Redshift offers a petabyte-scale, fully managed data warehouse service in the cloud. With cloud data warehouses like Redshift, businesses can make data-driven decisions faster and more frequently. Implementing a cloud data warehouse can be game-changing for businesses of all sizes, but a data warehouse is only as useful as the data it contains.
At Talend, we’ve helped over 600 customers like Heap, a behavioral analytics platform, leverage the power of Amazon Redshift with Stitch Data Loader, a cloud-native data ingestion app that consolidates data from over 100 sources into Amazon Redshift While helping customers bring together data from Salesforce, Postgres databases and more, we’ve learned a few things along the way. Here are three tips for securing quick wins for your analytics projects with Amazon Redshift and Stitch Data Loader:
Get moving, and quickly
For data-driven organizations, speed and agility of decision making is critical. Stitch Data Loader offers customers access to their most important data sources in just a few clicks with a lightweight and easy to use UI. No complicated configurations or hand-coded ETL pipelines, just near-instant access to over 100 data sources, all available for analysis in Redshift. With unified data in once place, businesses can make the real-time decisions required to stay competitive.
Empower your data experts
When business groups start new analytics projects, access to relevant data is paramount. Time to value for analytics is essential, but relying on IT bandwidth to access new data sources can have projects grinding to a halt. As cloud data warehousing becomes cheaper and more scalable, analytics domain experts can consolidate their own data, eliminating IT bottlenecks and reducing time to insight.
Take marketing analysts, for example. They have the technical skill and the domain knowledge to understand the data they need and how to use it, all that’s missing is the data itself. With Stitch Data Loader, marketing analysts can consolidate sources like Marketo, Google Analytics, and more into Amazon Redshift for analysis. No more manual processes or piecing reports together, just relevant and recent data in one place.
For full control over your warehousing costs, Stitch Data Loader offers advanced configuration settings to let you pick what data is loaded and when. Combined with on-demand pricing from Amazon Redshift, you can put data back in the hands of your domain experts without risking your budget.
Spend time on high value activities
According to Garter’s 2018 marketing analytics survey, marketing leaders reported that data wrangling is the second-most time consuming activity being done by their teams. Creating manual processes to wrangle data is static and error-prone and distracts from high value analysis. Each hour spent aggregating and cleaning data is less time spent on uncovering trends, understanding the customer, and other activities that propel business forward.
By integrating Stitch Data Loader and Amazon Redshift in your analytics stack, you can leverage the power of a modern cloud data warehouse and spend less time thinking about data wrangling and infrastructure.
Get going, already!
Talend will be at AWS RE:Invent 2019 from December 2-6 in Las Vegas, Nevada. Come say hello and learn about how we’ve helped hundreds of customers supercharge their cloud data warehousing strategy. We'll be at booth #613.