Congratulations! You made it through a 10,000 word treatise on data strategy. You’re clearly excited about working with data, but don’t assume that excitement is shared by your friends and family. In fact, a recent survey found out that Big Data is the single topic least likely to lead to interesting dinner table conversations.
We made that up.
The truth is, using data to make better business decisions is hard, and frequently unglamorous. We feel that the media coverage of data is too focused on the hype, and we wrote this guide to be a practical, useful take on the subject. We hope it worked and that you now have the information you need to confidently embrace that challenge ahead of you.
The good news is that so many tools are available to help you manage your data. Stitch is a part of a complete data infrastructure; it connects to your existing databases and SaaS products and consolidates your data into a single analytic database. Amazon Redshift, Google BigQuery, Snowflake, and Microsoft Azure Synapse are all working to become the most performant, affordable analytic database. Looker, Mode, Chartio, Periscope Data, and others are analytical tools that work out of your data warehouse. And if you don't have the budget to pay for analytical tools, free (as in beer) tools like re:dash, Beaker, Metabase, and Jupyter Notebooks give analysts some powerful capabilities.
It's easier than ever to build a flexible data stack that suits the unique needs and skill sets of your organization. If you're thinking about your data strategy and want someone to talk through it with you, connect with us on www.stitchdata.com (look for the chat bubble). We've helped hundreds of businesses like yours go through the same process.
And of course, we'd love it if you gave Stitch a try. It's free to try and completely self-service, so sign up for your trial today!
If you'd like to learn more about data science, data engineering, and data analytics, here are a few resources for continuing education:
The New York Times called data science the hottest career of the next decade. We analyzed the data on thousands of data scientists to understand the trends in their employment and what skills are most important.
Data engineers are the unsung heroes of most companies' data strategies. They build and maintain the infrastructure that enables data scientists and analysts to do their jobs. We discovered that this role is growing even faster than data science, and we learned what makes data engineers different from other engineers.
5 things you should know before getting a degree in data science
5 things you should know for a career in data engineering
4 things you should know for a career in data analytics
The Definitive Guide to Cloud Data Warehouses and Cloud Data Lakes
A resource from Stitch's parent company Talend. This guide covers:
Statistically Interesting podcast
Listen to podcast episodes in which the co-founder of Stitch interviews analysts and data scientists about how they got to where they are today and the fascinating work that they do. Data leaders from Snapchat, Pinterest, Zendesk, the City of Philadelphia, and more tell the stories of how they use data to help their organizations
We post all of our new research and announcements here.
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Thanks for sticking with us for this introduction to ETL and data analytics. Best of luck in your work.