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Industry pioneers discuss the future of the modern data stack | Fireside chat

Will starships carry #lakehouses? Can the 48-year-old SQL still get the job done? Will #datagovernance finally see a revolution? Fivetran CEO George Fraser caught up over coffee with Ali Ghodsi, CEO of #Databricks, and Bob Muglia, Fivetran Board Member and former CEO of #Snowflake, to imagine a new world forged around the #moderndatastack.

Storing Big Data: What's the Cheapest Way to Store Big Data in the Cloud?

GET STARTED In the 21st century, data is the center of every business. Therefore, how companies handle, optimize, and automate their valuable business data is becoming more and more important. To make data storage a bit easier, many companies are moving their big data over to cloud-based data centers.

New! Embed analytics even faster with CodeSpot

Today, we are excited to announce the availability of CodeSpot, a searchable repository of ThoughtSpot blocks and code samples to help developers embed engaging analytics experiences into any app for the modern data stack. CodeSpot harnesses the knowledge and experience of ThoughtSpot Everywhere developers, data analysts and engineers, and product experts to build a broad ecosystem of shareable assets to accelerate development projects and benefit our developer community and customers.

Winning With Data in the Fight Against Fraud, Waste, and Abuse

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. The scope and scale of public spending—federal outlays alone were approximately $6.6 trillion in fiscal year 2020 according to the Congressional Budget Office—make FWA an inherently difficult problem to solve.

Does Your Company Suffer From a Lack of Data Democratization?

In the era of big data, an unprecedented amount of data is available to companies to drive growth. Yet up to 73% of companies’ data never get used. What are the bottlenecks to accessing data? And why is there such a wide gap between the data we have in our data lakes and data warehouses and the data we end up using for making business decisions? The smoking gun is in the hands of data democratization.