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 108

Unstructured Data SQL Python Accessible 108

Monte Carlo

FEBRUARY 12, 2024

Organizations are racing to deploy generative AI applications to unlock new sources of value and stave off potential disruptors as this transformative technology takes hold. Today, this first-party data mostly lives in two types of data repositories. This is one way to think about how to translate concepts between the two.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Snowflake

JUNE 28, 2023

Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python. External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 111

Unstructured Data Metadata Government SQL 111

Snowflake

SEPTEMBER 19, 2023

Well, more specifically, LLaMA (Large Language Model Meta AI), along with other large language models (LLMs) that have suddenly become more open and accessible for everyday applications. 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.

Machine Learning 98

Machine Learning Unstructured Data Data Analytics Government 98

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

Snowflake

SEPTEMBER 26, 2024

There’s no question which technology everyone’s talking about in retail. Most companies know they need better data to make that happen, but they struggle with making it available, trusted and accessible — not to mention handling complex data, like images, videos and unstructured data.

Retail 77

Retail Cloud Unstructured Data Deep Learning 77

Cloudera

AUGUST 21, 2024

The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.

Unstructured Data 64

Unstructured Data Business Intelligence Data Architecture Data Warehouse 64

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

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 64

Education Unstructured Data Data Lake Data Warehouse 64

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms.

Cloud 97

Cloud Data Governance Unstructured Data Data Architecture 97

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 87

Insurance Banking Data Architecture Data Ingestion 87

Snowflake

SEPTEMBER 21, 2023

The marketing technology landscape has exploded in the last decade. In this post, we’ll take a look at how leading vendors in the 2023 Modern Marketing Data Stack are differentiating their products in a crowded market. The data driving the provider’s application is stored and processed in the provider’s own Snowflake account.

Google Cloud 88

Google Cloud Unstructured Data Technology Data 88

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. Next-generation sequencing (NGS) technology has dramatically dropped the price of genomic sequencing, from about $1 million in 2007 to $600 today per whole genome sequencing (WGS).

Metadata 87

Metadata Healthcare Medical Data Storage 87

phData: Data Engineering

NOVEMBER 1, 2024

Data governance plays a critical role in the successful implementation of Generative AI (GenAI) and large language models (LLM), with 86.7% It serves as a vital protective measure, ensuring proper data access while managing risks like data breaches and unauthorized use. of respondents rating it as highly impactful.

Government 52

Government Data Governance Finance Metadata 52

Cloudera

OCTOBER 5, 2023

Using data effectively is the key to competing in today’s world as customer expectations continue to rise. Moving from a best guess mindset to a data driven organization requires a significant shift throughout the organization in terms of technology, processes, and culture.

Data Governance 82

Data Governance Unstructured Data Government High Quality Data 82

phData: Data Engineering

NOVEMBER 8, 2024

Hence, the metadata files record schema and partition changes, enabling systems to process data with the correct schema and partition structure for each relevant historical dataset. Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

JUNE 5, 2024

Snowflake Cortex AI is a fully managed service designed to unlock the potential of the technology for everyone within an organization, regardless of their technical expertise. It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications.

Coding 90

Coding Building Management Government 90

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. Here’s a closer look.

Data Architecture 82

Data Architecture Architecture Data Lake Kafka 82

Knowledge Hut

DECEMBER 21, 2023

This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed. To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Snowflake

APRIL 8, 2024

In fact, 8 of the 10 startups in our semi-finalist list plan to use one or both of these technologies in their offerings. The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management.

Pipeline-centric 128

Pipeline-centric Food Healthcare Unstructured Data 128

Snowflake

MAY 9, 2024

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data. It’s already having a real-world impact. “It’s

Unstructured Data 96

Unstructured Data Manufacturing Retail Data Warehouse 96

Snowflake

APRIL 10, 2023

We transform unstructured data, such as text, images, and videos, into semantic fingerprints. The difference between semantha and humans is semantha processes data in seconds instead of months.” “We were super-quick to get everything ready for the build from our side, and the Snowflake team acted just as fast.”

Unstructured Data 59

Unstructured Data Manufacturing Insurance Government 59

Knowledge Hut

DECEMBER 26, 2023

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

Monte Carlo

AUGUST 25, 2023

With pre-built functionalities and robust SQL support, data warehouses are tailor-made to enable swift, actionable querying for data analytics teams working primarily with structured data. Commonly, you’ll find data formats such as JSON, Apache Parquet, and Apache Avro in these environments.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Monte Carlo

NOVEMBER 9, 2023

And it’s not their fault – executives and boards are to blame for much of the “hurry up and go” mentality around this (and most) new technologies. In my opinion, enterprise ready generative AI must be: Secure & private: Your AI application must ensure that your data is secure, private, and compliant, with proper access controls.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

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

Knowledge Hut

APRIL 23, 2024

This guide will help you comprehend big data 4 characteristics to understand all the containing Vs! Volume: Quantity vs Accessibility Volume is the first of the four V's in big data and pertains to the size or magnitude of data being generated, collected, and stored. Customer data come in numerous formats.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Snowflake

JULY 9, 2024

Assess your current reality In recent strategy workshops with customers, we’ve focused on assessing four areas: data access, analytics and AI capabilities, organizational structure, and culture and communication. As we all know there is no AI strategy without a data strategy, so we start with the data.

Government 84

Government Education Data Governance Unstructured Data 84

Knowledge Hut

DECEMBER 26, 2023

Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis. Big data companies typically use data to help organizations make better decisions, improve operations, and understand customer behavior.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend? For real-time querying of data.

Technology 40

Technology NoSQL Hadoop Data Mining 40

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 74

Unstructured Data Data Lake Data Architecture Data 74

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. Reliable data security Built for the cloud, Snowflake leverages the most sophisticated cloud security technologies available.

Manufacturing 90

Manufacturing Unstructured Data Cloud Architecture 90

U-Next

MARCH 12, 2023

These programs and technologies include, among other things, servers, databases, networking, and data storage. Customers with an Azure subscription get access to all the services offered through the Azure site. Massive volumes of unstructured data, such as text or binary data, are best stored using blob storage.) 4.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

Striim

OCTOBER 11, 2024

Data pipelines are significant to businesses because they: Consolidate Data: Data pipelines are responsible for integrating and unifying data from diverse sources and formats, making it consistent and usable for analytics and business intelligence.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52