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. Go to dataengineeringpodcast.com/satori today and get a $5K credit for your next Satori subscription.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

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. Let’s examine a few.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Seattle Data Guy

DECEMBER 12, 2024

Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types.

Insurance 130

Insurance Unstructured Data Banking Datasets 130

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Data Engineering Podcast

FEBRUARY 27, 2022

With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets.

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

InData Labs

APRIL 4, 2022

RDD (Resilient Distributed Dataset). The main approach to work with unstructured data. Запись Converting Spark RDD to DataFrame and Dataset впервые появилась InData Labs. First, we will provide you with a holistic view of all of them in one place. Second, we will explore each option with examples.

Datasets 52

Datasets Unstructured Data IT Data 52

Data Engineering Weekly

FEBRUARY 9, 2025

MoEs necessitate less compute for pre-training compared to dense models, facilitating the scaling of model and dataset size within similar computational budgets. link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

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.

Building 140

Building Unstructured Data Government Coding 140

Monte Carlo

DECEMBER 9, 2024

” Even when you’re working with unstructured data, like text for a language learning model, you still want to steer clear of bad inputs. If the data is messy or misleading, it can distort the AI’s understanding and lead to poor outputs. For simple tasks, smaller, focused datasets work great.

High Quality Data 52

High Quality Data Unstructured Data Datasets Data 52

Striim

APRIL 18, 2025

Many organizations struggle with: Inconsistent data formats : Different systems store data in varied structures, requiring extensive preprocessing before analysis. Siloed storage : Critical business data is often locked away in disconnected databases, preventing a unified view.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

RandomTrees

NOVEMBER 25, 2024

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Data Engineering Weekly

MARCH 5, 2025

In the mid-2000s, Hadoop emerged as a groundbreaking solution for processing massive datasets. It promised to address key pain points: Scaling: Handling ever-increasing data volumes. Speed: Accelerating data insights. Like Hadoop, it aims to tackle scalability, cost, speed, and data silos.

Hadoop 59

Hadoop Metadata Data Ingestion Data Governance 59

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 94

Unstructured Data Insurance Data Lake Structured Data 94

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies. Increased confidence in data results in trusted AI.

Cloud 105

Cloud Unstructured Data Metadata Government 105

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

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? OBS buckets provide rich storage for media files and other unstructured data enabling exploration of unstructured data.

Systems 105

Systems Hadoop Unstructured Data Media 105

Data Engineering Weekly

JULY 14, 2024

[link] Sponsored: 7/25 Amazon Bedrock Data Integration Tech Talk Streamline & scale data integration to and from Amazon Bedrock for generative AI applications. Senior Solutions Architect at AWS) Learn about: Efficient methods to feed unstructured data into Amazon Bedrock without intermediary services like S3.

Data Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98

AltexSoft

OCTOBER 18, 2022

Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. This can be done at speed, and at scale.

Insurance 95

Insurance Unstructured Data Finance Machine Learning 95

Data Engineering Weekly

SEPTEMBER 18, 2024

Decoupling of Storage and Compute : Data lakes allow observability tools to run alongside core data pipelines without competing for resources by separating storage from compute resources. This opens up new possibilities for monitoring and diagnosing data issues across various sources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Data 98

AltexSoft

MAY 12, 2022

Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. Free data sources.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Generative AI leverages the power of deep learning to build complex statistical models that process and mimic the structures present in different types of data.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Data Engineering Weekly

DECEMBER 16, 2024

Vector Search and Unstructured Data Processing Advancements in Search Architecture In 2024, organizations redefined search technology by adopting hybrid architectures that combine traditional keyword-based methods with advanced vector-based approaches.

Data Engineering 64

Data Engineering Data Engineer Engineering Unstructured Data 64

AltexSoft

MAY 27, 2022

The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Inpatient data anonymization. Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Monte Carlo

NOVEMBER 9, 2023

We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there. Fine tuning is the process of training an existing LLM on a smaller, task-specific and labeled dataset, adjusting model parameters and embeddings based on this new data.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

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.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Knowledge Hut

AUGUST 16, 2024

Mathematics / Stastistical Skills While it is possible to become a Data Scientist without a degree, it is necessary to have Mathematical skills to become a Data Scientist. Let us look at some of the areas in Mathematics that are the prerequisites to becoming a Data Scientist.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Monte Carlo

MARCH 12, 2025

We also integrate GenAI into the Monte Carlo product itself to make the lives of data teams easier through AI-powered monitor recommendations , fixes with AI, and soon, Gen-AI powered root cause analysis (stay tuned for more on that soon). This workflow creates a good balance between speed, cost, and quality of results.

AWS 52

AWS Google Cloud Unstructured Data Coding 52

Monte Carlo

MARCH 12, 2025

We also integrate GenAI into the Monte Carlo product itself to make the lives of data teams easier through AI-powered monitor recommendations , fixes with AI, and soon, Gen-AI powered root cause analysis (stay tuned for more on that soon). This workflow creates a good balance between speed, cost, and quality of results.

AWS 52

AWS Google Cloud Unstructured Data Coding 52

Knowledge Hut

MAY 31, 2023

Improved Detection of Elusive Polyps Language: Python Data set: Png file Source code: Polyp-Segmentation-using-UNET-in-TensorFlow-2.0 Large datasets of colonoscopy images can be used to train AI systems to identify patterns and traits common to various polyp kinds.

Project 96

Project Healthcare Deep Learning Transportation 96

Cloudera

OCTOBER 26, 2020

Relevance-based text search over unstructured data (text, pdf,jpg, …). Easily search, glance, import datasets or jobs. Better performance for fast changing / updateable data. Streamlined maintenance workflows. Built-in SQL editor with intelligent query auto complete.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Cloudera

AUGUST 8, 2024

This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it. And through this partnership, we can offer clients cost-effective AI models and well-governed datasets as this industry charges into the future.”

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

DataKitchen

APRIL 13, 2021

Databand — Data pipeline performance monitoring and observability for data engineering teams. . Soda Data Monitoring — Soda tells you which data is worth fixing. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. Service and Consulting Organizations with some DataOps experience.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Cloudera

DECEMBER 19, 2023

Improve dataset quality. Ensure you can trust your data by using only diverse, high-quality training data that represents different demographics and viewpoints. Make sure to audit data regularly. Our government leaders had several suggestions: Start small. Limit access and capabilities initially.

Government 91

Government Education Unstructured Data Algorithm 91