Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. Here are just a few of their exciting predictions for the year ahead.

Unstructured Data 102

Unstructured Data Banking Government Insurance 102

Data Engineering Podcast

FEBRUARY 27, 2022

Summary There are a wealth of options for managing structured and textual data, but unstructured binary data assets are not as well supported across the ecosystem. Contact Info LinkedIn @cloudKrishna on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. We’ll explain the essence of IDP, guide you through its key stages, and provide real-life examples of the technology use. IDP heavily relies on such ML-driven technologies as.

Technology 64

Technology Process Insurance Medical 64

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Unstructured Data 92

Unstructured Data Pharmaceutical Banking Manufacturing 92

Snowflake

NOVEMBER 11, 2024

GPU-based model development and deployment: Build powerful, advanced ML models with your preferred Python packages on GPUs or CPUs serving them for inference in containers — all within the same platform as your governed data. A single integration endpoint simplifies the application architecture.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 52

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Snowflake

APRIL 20, 2023

LLMs have the potential to help both developers and less-technically inclined users make sense of the world’s data. Protecting sensitive or proprietary data such as source code, PII, internal documents, wikis, code bases, and other sensitive data sets, along with prompts, used to contextualize the LLMs is particularly important.

Building 116

Building Unstructured Data Government Coding 116

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

Data Engineering Podcast

JUNE 26, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Snowflake

MARCH 19, 2024

Since the explosion of interest in generative AI and large language models (LLMs), that is more true than ever, with business leaders discussing how quickly they should adopt these technologies to stay competitive. Strong data governance is essential to meet security and compliance obligations, but it is often regarded as a hindrance.

Data Governance 120

Data Governance Government Unstructured Data Programming Language 120

Data Engineering Weekly

OCTOBER 11, 2024

Centralized factories and monolithic data systems became too rigid and expensive to scale, unable to cope with the increasing complexity of manufacturing and the explosion of diverse, unstructured data in the digital age. Please feel free to connect with me at [link] or schedule a time to chat through [link].

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

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

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 1, 2023

They can also use and leverage Snowflake’s unified governance framework to seamlessly secure and manage access to their data. Cost-effective LLM-based models that are great for working with unstructured data: Answer Extraction (in private preview): Extract information from your unstructured data.

Unstructured Data 108

Unstructured Data SQL Python Accessible 108

Monte Carlo

JULY 15, 2024

We recently spoke with Killian Farrell , Principal Data Scientist at insurance startup AssuranceIQ to learn how his team built an LLM-based product to structure unstructured data and score customer conversations for developing sales and customer support teams. Read on to find out what they did, and what they learned!

Unstructured Data 52

Unstructured Data Insurance Data Lake Structured Data 52

Data Engineering Podcast

JUNE 19, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

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

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 65

Unstructured Data Business Intelligence Data Architecture Data Warehouse 65

Snowflake

SEPTEMBER 19, 2023

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. Ahmad has not only witnessed the emergence of AI in the data space but helped shape it throughout his career. AI unlocks new data use cases. Some takeaways?

Machine Learning 98

Machine Learning Unstructured Data Data Analytics Government 98

Jesse Anderson

SEPTEMBER 14, 2023

The metric I use for technology adoption is, what would people say if it were to disappear tomorrow? I think LLMs will allow the majority to get stupider, like in Idiocracy , while a gradually decreasing population will benefit and exploit AI (and technology in general). Using LLMs to process unstructured data is amazing.

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

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

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 98

Cloud Data Governance Unstructured Data Data Architecture 98

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

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

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

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 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

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Unstructured Data 83

Unstructured Data Machine Learning Data Technology 83

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?

Technology 40

Technology NoSQL Hadoop Data Mining 40

Knowledge Hut

APRIL 23, 2024

For an organization, it is essential to know the difference between business intelligence and data science to make fair use of both and ensure significant growth. Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 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 83

Data Governance Unstructured Data Government High Quality Data 83

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 88

Insurance Banking Data Architecture Data Ingestion 88

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

Knowledge Hut

APRIL 23, 2024

It concentrates on structured data within predefined parameters or hypotheses to find specific patterns or relationships. Data Big Data Data Mining Big data is related to sizable and complex datasets that include structured, semi-structured, and unstructured data from a variety of sources.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Data Engineering Podcast

JUNE 12, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Knowledge Hut

DECEMBER 26, 2023

What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. 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 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

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