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Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

Cloudera

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. A New Level of Productivity with Remote Access The new Cloudera Data Engineering 1.23 Jupyter, PyCharm, and VS Code). Jupyter, PyCharm, and VS Code).

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Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect. We’re excited to share more innovations soon, making data even more accessible for all. These benefits extend far beyond the developer team.

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. Our sincere thanks go out to everyone who participated in this year’s competition.

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Building a Future in Banking and Capital Markets

The Modern Data Company

Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels.

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Bring Gen AI & LLMs to Your Data

Snowflake

To make it even easier and secure for customers to take advantage of leading LLMs, Snowpark Container Services can be used as part of a Snowflake Native App , so customers will be able to get direct access to leading LLMs via the Snowflake Marketplace and installed to run entirely in their Snowflake accounts. A win/win for both parties.

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Becoming a Data Owner: Roles, Responsibilities, and 4 Best Practices

Monte Carlo

Career advancement: As organizations become more data-centric, your role as a data owner offers opportunities for career growth. Self-Serve Infrastructure: He implemented a modern data stack centered around SQL and dbt, enabling analysts to manage their own data pipelines.

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Snowflake Expands Programmability to Bolster Support for AI/ML and Streaming Pipeline Development

Snowflake

Integrating with APIs and endpoints in a secure way is now possible with external network access, now in private preview. Simplified streaming pipelines in Snowflake We are expanding our streaming capabilities with Dynamic Tables (public preview). Check out our ML demo at Summit to see how it works.