Speed up onboarding and seamless integration with ThoughtSpot utilizing Amazon Redshift accomplice integration


Amazon Redshift is a quick, petabyte-scale cloud knowledge warehouse that makes it easy and cost-effective to investigate your whole knowledge utilizing normal SQL. Tens of hundreds of consumers as we speak depend on Amazon Redshift to investigate exabytes of information and run advanced analytical queries, making it essentially the most broadly used cloud knowledge warehouse. You’ll be able to run and scale analytics in seconds on all of your knowledge with out having to handle your knowledge warehouse infrastructure.

Right this moment, we’re excited to announce ThoughtSpot as a brand new BI accomplice obtainable via Amazon Redshift accomplice integration. You’ll be able to onboard with ThoughtSpot in minutes straight from the Amazon Redshift console and acquire sooner data-driven insights. Companies sometimes take a look at methods to derive enterprise insights. That is the place trendy analytics suppliers akin to ThoughtSpot present worth. With its highly effective AI-based search, dwell visualizations, and developer instruments and APIs for sharing embedded analytics, ThoughtSpot democratizes entry to knowledge by offering self-service instruments for all customers.

On this submit, you’ll learn to combine seamlessly with ThoughtSpot from the Amazon Redshift console. With the loosely coupled nature of the fashionable knowledge stack, it’s easy to attach Amazon Redshift with ThoughtSpot. No knowledge motion or replication is required.

ThoughtSpot: Reside analytics to your trendy knowledge stack

Static dashboards can not ship constant and dependable insights on the velocity and international scale that prospects demand. They lack the next:

  • Alternatives for collaboration
  • Discovery and reusability
  • Safe distant knowledge and perception entry
  • Fast use case growth with single-touch perception provisioning

ThoughtSpot empowers everybody to create, eat, and operationalize data-driven insights. ThoughtSpot consumer-grade search and AI know-how delivers true self-service analytics that anybody can use, whereas its developer-friendly platform ThoughtSpot In every single place makes it straightforward to construct interactive knowledge apps that combine along with your present cloud supplier.

As organizations more and more transfer to the cloud, ThoughtSpot helps them shortly unlock worth from their funding. ThoughtSpot’s easy search performance allows you to simply ask and reply knowledge questions in seconds to unearth impactful insights straight in Amazon Redshift. ThoughtSpot for AWS gives enterprises with extra freedom and suppleness by eliminating the necessity to transfer knowledge between cloud sources so that companies can instantly profit from data-driven decision-making.

ThoughtSpot is an AWS Knowledge and Analytics Competency Associate with the Amazon Redshift Prepared product designation. ThoughtSpot can also be a part of the Powered by Amazon Redshift program.

Combine ThoughtSpot utilizing Amazon Redshift accomplice integration

Full the next steps to combine ThoughtSpot with Amazon Redshift:

  1. On the Amazon Redshift console, select Clusters within the navigation pane.
  2. Choose your cluster and on the Actions menu, select Add AWS Associate integration.

Alternatively, you possibly can select your particular person cluster and on its particulars web page, select Add accomplice integration.

  1. Choose ThoughtSpot as your required BI accomplice.
  2. Select Subsequent.

  1. Select Add accomplice.

  1. Log in on the ThoughtSpot touchdown web page.

  1. Choose Proceed to Setup.

  1. On the Amazon Redshift connection particulars web page, enter your Amazon Redshift database password for Password.
  2. Select Proceed.

To connect with your Amazon Redshift cluster, be certain to allow the Publicly accessible possibility and permit listing the ThoughtSpot IP in your Amazon Redshift cluster’s safety group.

  1. Choose your required tables and select Replace.
  2. If a immediate seems, select Replace once more.

After you’ve efficiently built-in with ThoughtSpot, you will note an Energetic standing within the Integrations part on the Amazon Redshift console.

Congratulations! You’re now prepared to begin visualizing knowledge utilizing ThoughtSpot. The next instance exhibits you tendencies in gross sales development YTD, present gross sales tendencies throughout areas, and a comparability between product sort gross sales between the present 12 months and the earlier 12 months. You’ll be able to slice and cube the dataset based mostly on the granularity outlined by the consumer.

Associate suggestions

“ThoughtSpot is thrilled to broaden our long-time cooperation with AWS with the announcement of our Amazon Redshift accomplice integration. Main organizations are already extracting worth from their knowledge utilizing AI-powered analytics on Amazon Redshift, and as we speak we’re making it much more frictionless for Amazon Redshift customers to launch ThoughtSpot’s free trial to resolve actual issues shortly.”

– Kuntal Vahalia, SVP of WW Companions & APAC

Conclusion

On this submit, we mentioned how Amazon Redshift accomplice integration gives a fast-onboarding expertise and lets you create priceless enterprise insights by integrating with ThoughtSpot. ThoughtSpot allows you to unlock the worth of your trendy knowledge stack by empowering your total group with dwell analytics and knowledge search, whereas Amazon Redshift gives a contemporary knowledge warehouse expertise so that you can handle analytics at scale.

In the event you’re an AWS Associate and wish to combine your product into the Amazon Redshift console, contact redshift-partners@amazon.com for added data and steering. This console accomplice integration performance is obtainable to new and present prospects at no extra price. To get began and be taught extra, see Integrating Amazon Redshift with an AWS Associate.


In regards to the Authors

Antony Prasad Thevaraj is a Sr. Associate Options Architect in Knowledge and Analytics at AWS. He has over 12 years of expertise as a Large Knowledge Engineer, and has labored on constructing advanced ETL and ELT pipelines for varied enterprise models.

Maneesh Sharma is a Senior Database Engineer at AWS with greater than a decade of expertise designing and implementing large-scale knowledge warehouse and analytics options. He collaborates with varied Amazon Redshift Companions and prospects to drive higher integration.

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