Snowflake

MARCH 18, 2024

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

Unstructured Data 85

Unstructured Data Government Data Pipeline Cloud 85

Snowflake

APRIL 8, 2024

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. SignalFlare.ai

Pipeline-centric 126

Pipeline-centric Food Healthcare Unstructured Data 126

Snowflake

NOVEMBER 1, 2023

For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. With just a single line of SQL or Python, analysts can instantly access specialized ML and LLM models tuned for specific tasks. These functions include the ones listed below.

Unstructured Data 104

Unstructured Data SQL Python Accessible 104

Towards Data Science

JULY 21, 2023

Here are the 5 must-have layers to drive data product adoption at scale. Like bean dip and ogres , layers are the building blocks of the modern data stack. So, with infinitely expanding integrations and the opportunity to add new layers for every feature and function of your data motion, the question arises — where do you start?

Building 83

Building Business Intelligence BI Cloud Storage 83

Rockset

MARCH 28, 2024

Overview In this guide, you will: Gain a high-level understanding of vectors, embeddings, vector search, and vector databases, which will clarify the concepts we will build upon. Build a dynamic web application using vanilla CSS, HTML, JavaScript, and Flask, seamlessly integrating with the Rockset API and the OpenAI API.

Systems 52

Systems Building Database Utilities 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. And what is the reason for that?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Monte Carlo

AUGUST 19, 2023

A comprehensive data platform solution powers data acquisition, storage, preparation, delivery, governance, and even the robust security needs of users and applications. In today’s data-driven landscape, building a data platform is no longer a nice-to-have, but a necessity for most organizations. It depends.

Building 52

Building BI Data Lake Data Governance 52

Rockset

APRIL 18, 2023

Join me and Rockset VP of Engineering Louis Brandy for a tech talk, From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale , on May 17th at 9am PT/ 12pm ET. Due to these difficulties, unstructured data has remained largely underutilized. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics. Some takeaways?

Machine Learning 94

Machine Learning Unstructured Data Data Analytics Government 94

Monte Carlo

JANUARY 27, 2024

Building a modern data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack.

Building 52

Building Business Intelligence Cloud Storage BI 52

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 83

Healthcare Unstructured Data High Quality Data Medical 83

Snowflake

MARCH 7, 2024

How do Gen AI/LLMs “democratize” access to insights? Compared to traditional AI models, generative AI/LLMs provide a significant uplift in tackling the wealth of unstructured data that make up things such as loan agreements, claims agreements, underwriting documents and the like. Democratization also carries risk, though.

Unstructured Data 81

Unstructured Data Government Data Architecture Architecture 81

Snowflake

JANUARY 8, 2024

While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content. Access to high-quality source data, strong governance controls and robust security are paramount.

Unstructured Data 82

Unstructured Data Government Portfolio Insurance 82

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). Watch the full Data Cloud Now interview to learn more.

Unstructured Data 92

Unstructured Data Manufacturing Retail Data Warehouse 92

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Snowflake

OCTOBER 11, 2023

The growing role of data science in the modern business Today’s businesses are facing an unprecedented expansion of unstructured data that can permeate every department in an organization. Here are five trends that startups should keep an eye on in the months ahead. From a user-based perspective, it’s fast.

Unstructured Data 102

Unstructured Data Cloud Data Science Finance 102

Monte Carlo

NOVEMBER 9, 2023

Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data. All of these currently exist in databases and data warehouses. Think: SecOps for AI.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. EvalPlus builds a leadership board to demonstrate the efficiency of leading AI coder models.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 116

Amazon Web Services AWS Government Python 116

Towards Data Science

AUGUST 10, 2023

Here are some current and likely ways generative AI is contributing value to organizations and data teams both today and in the near future. #1- 1- Increasing data accessibility The lowest hanging fruit for generative AI within the world of data? There’s plenty of unstructured data in the world.

IT 82

IT Unstructured Data SQL BI 82

Snowflake

NOVEMBER 2, 2023

And, since historically tools and commercial platforms were often designed to align with one specific architecture pattern, organizations struggled to adapt to changing business needs – which of course has implications on data architecture. With our customers, we’ve seen Conway’s Law playing out more often than not.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

Snowflake

JANUARY 18, 2024

A robust, flexible architecture Snowflake’s unique architecture is designed to handle the full volume, velocity and variety of data without making manufacturers deal with downtime for upgrades or compute changes. Built-in automation eliminates the need for customers to build indexes or do housekeeping.

Manufacturing 86

Manufacturing Unstructured Data Cloud Architecture 86

Monte Carlo

MAY 31, 2022

onFailure(funcName, qe, exception)) } } Spline provided a head-start in building Spark lineage. Instead of building a series of listeners from scratch, we decided to take advantage of that open source technology, Spline. A good engineer can build solutions for hard problems. .”)) new SparkLineageInitializer(sparkSession).createListener(isCodelessInit

Data Lake 52

Data Lake Building Scala Metadata 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Snowflake

APRIL 10, 2023

We transform unstructured data, such as text, images, and videos, into semantic fingerprints. We were super-quick to get everything ready for the build from our side, and the Snowflake team acted just as fast.” With this partnership, semantha provides access to the data for any business that’s on Snowflake.

Unstructured Data 57

Unstructured Data Manufacturing Insurance Government 57

Knowledge Hut

DECEMBER 26, 2023

In the twenty-first century, data science is regarded as a profitable career. It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. Data science, which solves problems by connecting relevant data for later use, aids these emerging technologies.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Precisely

MAY 13, 2024

If you’re in the market for a data integration solution, there are many things to consider – including the flexibility of integration solutions, the availability of a strong network of service providers, and the vendor’s reputation for thought leadership in the integration space. A notable capability that achieves this is the data catalog.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Towards Data Science

OCTOBER 7, 2023

The hype around generative AI is real, and data and ML teams are feeling the heat. Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. Image courtesy of author.

Unstructured Data 76

Unstructured Data Finance SQL Media 76

Cloudyard

APRIL 7, 2023

These functions are used to generate the URL and grant the access based on their authorizations. When users send a file URL to the REST API to access files, Snowflake performs the following actions: Authenticate the user. Only roles that have privileges on the view can access the files. That is, the file URL does not expire.

Unstructured Data 52

Unstructured Data Cloud Storage AWS Accessible 52

Monte Carlo

JANUARY 25, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. Hint: it’s not a one-size-fits-all answer, but answering a few critical questions can help. Let’s jump in!

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

Cloudera

DECEMBER 19, 2023

Also, while agencies view embracing AI as a strategic imperative that will enable them to accelerate the mission, they also face the challenge of finding readily available talent and resources to build AI solutions. Limit access and capabilities initially. Build public trust through education on AI. Improve dataset quality.

Government 86

Government Education Unstructured Data Datasets 86

Monte Carlo

OCTOBER 4, 2023

The hype around generative AI is real, and data and ML teams are feeling the heat. Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52