Learn how Substack has utilized Datacoral's fast data syncs, hard deletes, automatic schema change detection, and more to make their team more efficient.
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- February 12, 2021
Introduction As businesses learn how to make up-to-the-minute, data-driven decisions, their data teams face increasing scope demands. The challenges these data teams face include getting access to a plethora of data sources; understanding the business value that resides in them; managing and moving large data sets; and finding the time to build meaningful dashboards and algorithms that drive business outcomes. Adding more data experts to the team may spread the load, but does not eliminate the myriad distractions from their core role: data analytics. Furthermore, data teams are often working with privileged user data — think patient data in
- February 6, 2021
Introduction Modern analytics teams are hungry for data. They are generating incredible insights that make their organizations smarter and are emphasizing the need for data-driven decision making across the board. However, data comes in many shapes and forms and is often siloed away. What actually makes the work of analytics teams possible is the aggregation of data from a variety of sources into a single location where it is easy to query and transform. And, of course, this data needs to be accurate and up-to-date at all times. Let’s take an example. Maybe you’re trying to understand how COVID-19
- February 4, 2021
Introduction How do you think about your data stack? If your job requires analyzing data, or supporting teams who analyze your data, you will likely find yourself at some point working on data pipelines and learning about their complexity as you go along. While data pipelines are light years ahead of where they were 20 years, the day-to-day challenges data teams face today are largely the same. How have we come so far, yet stayed where we are? We have seen tons of thoughtful work being done to promote the modern data stack. Andreessen Horowitz’s seminal thought piece on
- January 19, 2021
This post was originally an email which our CEO, Raghu Murthy, shared with Datacoral customers on Tuesday, January 19th, 2021. It is shared with light edits. This update started as a recap of 2020, where we shared our comments on what a strange year it had been. But that seems like old news now, compared to the eventful start to 2021. We hope with everything going on, you, your loved ones, and your teams are healthy and well. We are heartened and excited about everything the Datacoral data community has achieved in 2020 and have some critical product fixes
- December 6, 2020
This post was originally an email which our CEO, Raghu Murthy, shared with Datacoral customers in response to the AWS outage that occurred on Wednesday, November 25th, 2020. It is shared with light edits. We hope that you and your loved ones had a relaxing holiday break. One that was not too heavily impacted by the AWS outage last week. In case you weren’t aware, AWS had a pretty significant outage of its services in the us-east-1 region on the day before the Thanksgiving break. You can read more about the outage from The Verge and from the Washington
- November 19, 2020
Datacoral is a provider of end-to-end data infrastructure for our customers, from connectors that ingest data from many data sources into data warehouses to transformations that allow data scientists to extract insights from their data. We care deeply about our customer’s trust in us and have always been committed to maintaining data security and privacy. In the past, we have achieved HIPAA certification and are part of the Privacy Shield program. Today, Datacoral is excited to announce that we are now Service Organization Control (SOC) 2, Type 1 Compliant. We were able to easily meet all of the security
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