Gigasheet的动态

The future of enterprise BI? It's as simple as using a spreadsheet. Check out Gigasheet!

Super excited to share Gigasheet's new write-back capabilities for Snowflake and Databricks. Gigasheet now not only allows users to query/analyze data in real-time (from 8+ data stores), but now allows users to post back clean or prepared data. Gigasheet helps unify fragmented data, allowing users to join nearly any file into the warehouse (in a governed way), with support for over 40 file types, from CSVs and Excel to JSON and Apache logs and 250GB+ files. https://lnkd.in/e8eJcfgT

Converting JSON data to actionable insights is a common challenge for many working with large datasets. This article provides a valuable framework for effectively utilizing Snowflake’s capabilities to transform raw data into meaningful analytics. The author lays out practical steps for enhancing data processing, including leveraging SQL queries and integrating powerful data visualization tools. Utilizing these resources can significantly streamline your analysis, making sense of complex data much easier. By adopting these strategies, teams can not only save time but also uncover deeper insights that drive data-informed decision-making. It’s a great reminder of how mastering tools like Snowflake can elevate your data capabilities. What are your own strategies for working with JSON data? Share your experiences in the comments. #Snowflake #DataScience #JSON #DataAnalytics #CloudComputing https://lnkd.in/gbvRW4xJ

At Y42, we're helping data teams maximize the return on their data warehouse investment. As part of that mission, we are sharing more resources on leveraging the native functionalities of technologies like the Snowflake Data Cloud which we will focus on in the following weeks. In our most recent blog post, we're diving into best practices of working with Snowflake's "Insert Into" command. The post includes: ?? Understanding the Snowflake INSERT INTO syntax ? Single-row inserts, multi-row inserts, and inserts from a table ? Inserting using?subqueries?and?CTEs?(Common Table Expressions) ? Overwriting?a table ? Inserting into multiple tables at the same time using?INSERT ALL ? Parsing and inserting?JSON?data ?? Comparing?INSERT INTO?and?MERGE INTO?statements ?? Using?QUERY_HISTORY?table functions and?Query Profile Read on here: https://lnkd.in/gsJJyCkK

GA alert! ?? Say goodbye to complex SQL queries and hello to an era of data exploration made simple, secure, and efficient. Snowflake Copilot, our breakthrough AI-powered SQL assistant, is now generally available!

I've just published a new article 3 Scenarios When You Should Use Iceberg with Snowflake on the Snowflake Builders Blog. ?????? Are you managing petabytes of data or working with multiple data platforms like Databricks or Redshift? Are you looking for a solution to simplify cross-team data sharing and governance? In this article, I dive into how Iceberg can help organizations overcome these challenges and explain how it works seamlessly with Snowflake to improve data management and interoperability. If you're considering adopting Iceberg or just want to understand how it fits into your data ecosystem, check out the full article here: https://lnkd.in/gWSWMACk #Snowflake #Iceberg #DataEngineering #SnowVillage

?? SQL Data Pipeline Benchmarking – How do top tools measure up in speed, cost, and efficiency? In our latest benchmark study, we compared Fivetran, Stitch, Airbyte, and dlt for moving data from SQL databases to warehouses like BigQuery, Redshift, and Snowflake. Aspects discussed: 1?? Speed 2?? Cost 3?? Performance https://lnkd.in/gPz3gCE3 #DataEngineering #SQLBenchmark #ETL #DataPipelines #BigData

Check out this article featuring our own Casey Niemuth, who shares insights on how Gigasheet is expanding its horizons with support for Databricks! #Innovation #DataAnalytics

Are you curious about Streams in Snowflake but still haven't taken the plunge? I recently wrote a guide to using Snowflake Streams. This is the guide I wish I had when I was starting out! Looking forward to hearing your feedback on this article! https://lnkd.in/ecbJcNee

Great News for all our Data Warehouse customers: ?? We’ve been busy building new features for Databricks SQL that focus on intelligent experiences, predictive optimization, and world-class price/performance. Read this blog to get a summary of the August - October launches. ??