Snowflake Big Data Industry Predictions for 2024

Our friends over at Snowflake have prepared a special set of compelling technology predictions for the year ahead. From the company’s point of view 2024 should be quite a year! Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. Enjoy these special perspectives from one of our industry’s best known movers and shakers.

Snowflake and NVIDIA Team to Help Businesses Harness Their Data for Generative AI in the Data Cloud

Snowflake (NYSE: SNOW), the Data Cloud company, and NVIDIA today announced at Snowflake Summit 2023 that they are partnering to provide businesses of all sizes with an accelerated path to create customized generative AI applications using their own proprietary data, all securely within the Snowflake Data Cloud.

Snowflake vs. Databricks – Who has the Edge?

Fivetran recently unveiled the results of a new data warehouse benchmark report that revealed just how close the competition is among five of the most popular data warehouses. The report is the passion project of Fivetran CEO and data management expert George Fraser, who has a front row seat in the cloud data warehouse race. The report explains the cost vs. performance tradeoffs of each one of the warehouses, the ins and outs of the modern data stack, and provides a perspective on how it’s all going to shake out.

New Research From Hakkoda Reveals the Business Cost of Data Sprawl and Impact on Innovation

Hakkoda, the cloud data experts specializing in Snowflake, issued research on the state of data and analytics, revealing the hard and soft costs of data sprawl in medium and large businesses. The survey of more than 300 IT and business data leaders, commissioned by Hakkoda, showed that data sprawl is a compounding and costly issue that is impacting innovation and is likely to worsen with today’s proliferation of tools and scarcity of talent. 

Data Evolution in the Cloud: The lynchpin of competitive advantage

This report from our friends over at Snowflake reveals the extent to which the data sharing economy is powering business growth and how organizations are leveraging data from a range of sources to drive innovation, create better customer experiences, and meet regulatory requirements.

Data Evolution in the Cloud: The lynchpin of competitive advantage

These questions are the focus of this report, based on a survey conducted by The Economist Intelligence Unit and sponsored by Snowflake. It reflects the views of 914 executives from  eight industries across 13 countries worldwide and explores the current state of corporate  data use, as well as executive hopes for the future. In particular, the goal is to illuminate how  different industries are adapting their data strategies, engaging with the broader data  ecosystem, and converting data insights into growth and performance.

Hope is Not a Strategy for Deriving Value from a Data Lake

In this contributed article, Christian Kleinerman, VP of Product at Snowflake, discusses how the data lake has evolved since arriving on the technology scene 10+ years ago and why organizations need more than “hope” to unlock the potential it promises.

Sigma Announces Visual Data Modeling, SQL Runner and One-click Snowflake Integration

Sigma, an innovator in cloud business intelligence (BI) and analytics, announced its forthcoming release of a visual data modeling capability, SQL Runner, and one-click Snowflake integration, allowing anyone to explore data in cloud warehouses and generate insights in minutes.

The Forrester Wave : Enterprise Data Warehouse, Q4 2015

Why read this white paper? – In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features
around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers. Download this white paper to learn the 10 most signifigent EDW software and service providers.

The Elastic Data Warehouses

Data and the way that data is used have changed, but data warehousing has not. Today’s premises-based data warehouses are based on technology that is, at its core, two decades old. To meet the demands and opportunities of today, data warehouses have to fundamentally change.