Feature Announcement: Enterprise clients can now integrate their Teradata Vantage as an additional backend in Keboola
Teradata Vantage is the connected multi-cloud data platform for enterprise analytics. It unifies enterprise-grade data lakes, data warehouses, analytics, and data sources.
With Keboola, enterprise clients can now integrate their Teradata Vantage as a backend to iterate faster and streamline your data operations.
“Not only has Keboola unblocked a lot of pain points in our previous systems and processes, but it’s also helped us get a better understanding of our data and where our resources can be better allocated.” - Ilja Volf, Mall Group’s Head of Data Analytics and Business Intelligence
Teradata is extremely powerful. But it is designed for Enterprise analytics. This is why the top-class resilience, scale, and capacity of Teradata come at the cost of longer processes, more validations and slower outputs for your engineering and analytic initiatives.
With Keboola, you can integrate your Teradata Vantage as a backend to iterate faster, increase analytic output, and streamline your data operations end-to-end with the best price-performance ratio.
Data initiatives are often slower than their backlog buildup. For every new feature or product idea that gets picked up, dozens more end up in the backlog due to limited execution resources. Let’s dive deeper to understand how this anti-pattern can be solved.
Teradata is a fantastic data platform. But its state-of-the-art engineering and excellent data governance come at the cost of low flexibility and slow time-to-market.
The data team focuses on high-value projects, like building the Customer 360 view, or regulatory reporting.
But the team’s speed limits the output to a couple of high-value projects per quarter. Other interesting - and revenue-generating projects - get left to the backlog, such as customer data enrichment, integration of your proprietary data with marketing for personalized advertising, building predictive models for niche business verticals (sales lead conversion probability, tier 2 customer churn rate, …).
All together, your tech stack and processes are slowing you down, while growing the backlog and limiting the impact of analytics on your business’s transformation.
Long-tail is a term derived from Google. The search giant noticed that long-tail keywords (ex: “summer mountain running shoes men”) were queried less often than short-tail keywords (ex: “running shoes”), but their cumulative value for converting a search into a sale was 10x that of short keywords.
Similarly, long-tail analytics incorporates multiple smaller projects that are usually forgotten in the backlog due to resource and headcount constraints but have a cumulative greater transformative power for the business.
The power of the long-tail is that instead of focusing all your efforts on 1-5 big projects, you could (with the right technical solution) build dozens of smaller analytic features and projects. The smaller projects and features each improve your business processes and outcomes a bit. But together, they act as a domino effect that delivers a great impact on the bottom-line.
How do we get to long-tail analytics?
Keboola helps you build data features and products with your existing infrastructure.
With its user-friendly interface, scalable infrastructure, and best-in-class price-performance, your existing team can accelerate its data operations to achieve long-tail analytics.
Increase the impact of your analytics by turning your backlog into a source of feature ideas.
Automate sales reporting, enrich DWH data for ad hoc growth initiatives, run A/B tests, and many more at scale.
MallGroup is one of the biggest European retailers. Their corporate acquisition of 30+ companies (and their data systems) alongside legacy infrastructure slowed analytic output for MallGroup. By using Keboola, MallGroup was able to reach the analytic long-tail in under a year.
Read the entire success story here.
Keboola already offers multiple backends (Python, R, Snowflake, Oracle, Exasol, Redshift, etc.). You can use Keboola's backends to write custom-code transformations, perform jobs, or even build sophisticated machine learning products.
Now, Teradata users can bring their Vantage data engines and warehouses to the game.
By integrating the Teradata Vantage platform into Keboola as a backend, users can tap into the raw power of Teradata combined with the user-friendliness of the Data Stack as a Service of Keboola.
Keboola already offers multiple backends (Python, R, Snowflake, Oracle, Exasol, Redshift, etc.). You can use Keboola's backends to write custom-code transformations, perform jobs, or even build sophisticated machine learning products.
Now, Teradata users can bring their Vantage data engines and warehouses to the game.
By integrating the Teradata Vantage platform into Keboola as a backend, users can tap into the raw power of Teradata combined with the user-friendliness of the Data Stack as a Service of Keboola.
By integrating Teradata as a backend into Keboola’s platform, users can iterate faster with the same underlying infrastructure.
There are multiple benefits for Teradata users:
The new backend joins the best of both worlds - Teradata’s engineering and analytical power at scales on one hand with Keboola’s user-friendliness that speeds up your data processes on the other hand.
Leverage your existing technology to achieve more. Faster.
“Our previous solution was simply not allowing us to cover the amount of ground we needed to move at the speed we wanted. We needed autonomy more than anything so our engineers weren’t hindered by limited systems.” - Ilja Volf, Mall Group’s Head of Data Analytics and Business Intelligence
Reach out to us so we can help you deploy your Teradata warehouse and analytical engine as a Keboola backend: https://www.keboola.com/contact.
