Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Data 40

Medium Data Engineering

MARCH 19, 2023

This writeup revolves around Copy options and exploring a protocol that we prefer to follow while dealing with unstructured data Continue reading on Medium »

Unstructured Data 52

Unstructured Data Data Data Warehouse Data Engineering 52

Data Engineering Podcast

DECEMBER 11, 2022

Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. In this episode Frank Liu shares how the Towhee library simplifies the work of translating your unstructured data assets (e.g. images, audio, video, etc.) images, audio, video, etc.)

Unstructured Data 100

Unstructured Data Machine Learning Data Data Engineering 100

KDnuggets

MAY 8, 2023

Learn how to find million-dollar insights from the data using exploratory analysis for your next data science project with Python.

Unstructured Data 98

Unstructured Data Data Analysis Data Python 98

Medium Data Engineering

MAY 8, 2023

Traditional data warehousing… Continue reading on Medium » Organizations are constantly faced with the challenge of managing and harnessing vast amounts of information.

Unstructured Data 52

Unstructured Data Data Lake Data Management 52

Data Engineering Podcast

AUGUST 14, 2021

In this episode Davit Buniatyan, founder and CEO of Activeloop, explains why he is spending his time and energy on building a platform to simplify the work of getting your unstructured data ready for machine learning.

Unstructured Data 100

Unstructured Data Machine Learning Data SQL 100

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.

Unstructured Data 100

Unstructured Data Cloud Data Management 100

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lake 157

Data Lake Cloud Storage Cloud Unstructured Data 157

KDnuggets

AUGUST 14, 2019

Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.

Unstructured Data 87

Unstructured Data Process Data 87

Medium Data Engineering

SEPTEMBER 18, 2023

As you can see in the following NoSQL example, you can get any unstructured data in a data… Continue reading on Medium » SQL or NOSQL service, that´s the question.

NoSQL 52

NoSQL Unstructured Data Database AWS 52

KDnuggets

MAY 15, 2023

Mojo Lang: The New Programming Language • Stop Doing this on ChatGPT and Get Ahead of the 99% of its Users • 3 Ways to Access GPT-4 for Free • 8 Open-Source Alternative to ChatGPT and Bard • Exploratory Data Analysis Techniques for Unstructured Data

Programming Language 96

Programming Language Unstructured Data Programming Data Analysis 96

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 SQL Machine Learning 105

Hevo

MAY 24, 2023

Data drives the business world, and a significant amount of that data is unstructured. This implies that traditional relational databases can not cater to the needs of organizations seeking to store and manipulate this unstructured data. NoSQL Databases […]

NoSQL 52

NoSQL Unstructured Data Data Relational Database 52

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 Machine Learning 130

Medium Data Engineering

JULY 23, 2023

A data lake is a centralized repository that stores large volumes of raw, structured, semi-structured, and unstructured data. Unlike… Continue reading on Medium »

Data Lake 52

Data Lake Unstructured Data Data Data Engineering 52

Confluent

MAY 23, 2023

Keep your unstructured data secure and compliant by automatically detecting personally identifiable information in real-time, with our ML-powered real-time PII detection solutions.

Unstructured Data 62

Unstructured Data Data Security Data 62

Medium Data Engineering

APRIL 15, 2023

The world of Large language models have got their own ETL, and in the forefront of the game are Unstructured, Towhee python libraries. In… Continue reading on Medium »

Unstructured Data 40

Unstructured Data Python Data Data Engineering 40

Snowflake

APRIL 20, 2023

In doing so, without compromising security or governance, we enable customers and partners to bring the power of LLMs to the data to help achieve two things: make enterprises smarter about their data and enhance user productivity in secure and scalable ways. Figure 1: Visual Question Answering Challenge data types and results.

Unstructured Data 116

Unstructured Data Data Building Coding 116

Medium Data Engineering

APRIL 7, 2023

Big data refers to the vast amount of structured and unstructured data that is generated from various sources including social media, IoT… Continue reading on Medium »

Big Data 52

Big Data Unstructured Data Data Media 52

Medium Data Engineering

FEBRUARY 9, 2023

Big data refers to the massive amount of structured and unstructured data generated by businesses, individuals, and other organizations on… Continue reading on Medium »

Big Data 52

Big Data Data Science Unstructured Data Data 52

Snowflake

SEPTEMBER 19, 2023

AI unlocks new data use cases. With the ability to handle unstructured data types and larger volumes of data, AI gives us the tools to tackle more complex, exciting problems. But now this enables a newer kind of insights from all this unstructured data that has been untapped so far. Some takeaways?

Machine Learning 96

Machine Learning Unstructured Data Data Analytics Python 96

Cloudera

MARCH 17, 2023

When implementing a data lakehouse, the table format is a critical piece because it acts as an abstraction layer, making it easy to access all the structured, unstructured data in the lakehouse by any engine or tool, concurrently.

Data 64

Data Education Unstructured Data Data Lake 64

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. This is particularly useful to data scientists and engineers as it provides more control over their calculations. Or maybe both.)

Data Lake 52

Data Lake Data Warehouse Data Unstructured 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 Data Unstructured Data Machine Learning 130

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 73

Unstructured Data Data Machine Learning Technology 73

Propel Data

OCTOBER 11, 2022

The main difference between data lakes and data warehouses is data lakes allow unstructured data, but data warehouses need structured data.

Data Lake 40

Data Lake Data Warehouse Unstructured Data Data 40

InData Labs

APRIL 4, 2022

The main approach to work with unstructured data. First, we will provide you with a holistic view of all of them in one place. Second, we will explore each option with examples. RDD (Resilient Distributed Dataset). Pretty similar to a distributed collection that is.

Datasets 52

Datasets Unstructured Data Data Data Engineering 52

Towards Data Science

APRIL 6, 2023

Data types : Anomaly detection looks different depending on if the data is structured, semi-structured, or unstructured, so it’s important to know what you’re working with. When it comes to detecting anomalies in unstructured data (e.g.,

Data 77

Data Unstructured Data Coding Metadata 77

Cloudyard

APRIL 7, 2023

So in case if we need to provide the access to unstructured data for specific roles then BUILD_SCOPED_FILE_URL is being used w.r.t C onsider the scenario, when we need to providing unstructured data to other accounts via a share, we can create the secure view with BUILD_SCOPED_FILE_URL.

Unstructured Data 52

Unstructured Data Cloud Storage AWS Accessible 52

Knowledge Hut

SEPTEMBER 26, 2023

Because we have to often collaborate with cross-functional teams and are in charge of translating the requirements of data scientists and analysts into technological solutions, Azure Data Engineers need excellent problem-solving and communication skills in addition to technical expertise. What Does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

InData Labs

SEPTEMBER 23, 2021

quintillion bytes of data that people create every day is predominantly unstructured data. Whether it is audio, video or text, big data – if meticulously collected, recognized, and processed – can generate business value through leveraging state-of-the-art technologies.

Unstructured Data 52

Unstructured Data Bytes Data Big Data 52

Jesse Anderson

SEPTEMBER 14, 2023

Using LLMs to process unstructured data is amazing. With the right prompts and code, you do some serious data engineering work. That isn’t the most difficult part of software engineering. Solving business/technical problems and debugging are the biggest parts, and I don’t see LLMs doing that anytime soon.

Data Engineering 147

Data Engineering Data Engineer Engineering Data 147

Team Data Science

JANUARY 8, 2021

Big Data is a collection of large data sets, particularly from new sources, providing an array of possibilities for those who want to work with data and are enthusiastic about unraveling trends in rows of new, unstructured data.

Data Engineering 130

Data Engineering Data Engineer Engineering Data 130

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.” From there, we can process information not unlike how humans do. As a Snowflake partner, it was another natural choice.

Unstructured Data 57

Unstructured Data Data Process Data Process 57

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.

Data 77

Data Unstructured Data Data Architecture Architecture 77

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 Data Unstructured Data Machine Learning 100

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 74

Unstructured Data Data Machine Learning Banking 74