Remove 2023 Remove Data Warehouse Remove Database Remove SQL
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Is web3 data storage ushering in a new era of privacy?

Dataconomy

The main solutions on the market are decentralized file storage networks (DSFN) like Filecoin and Arweave, and decentralized data warehouses like Space and Time (SxT). billion personal records were exposed – with the problem continuing to worsen in 2023. In the past two years alone, 2.6

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AWS re:Invent 2023 Amazon Redshift Sessions Recap

Flipboard

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

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A Primer to Scaling Pandas

ODSC - Open Data Science

Modin empowers practitioners to use pandas on data at scale, without requiring them to change a single line of code. Modin leverages our cutting-edge academic research on dataframes — the abstraction underlying pandas to bring the best of databases and distributed systems to dataframes. Run operations in pandas - all in Snowflake!

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Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector

Tableau

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. With Great Expectations , data teams can express what they “expect” from their data using simple assertions.

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.