Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape.

Data Engineer 57

Data Engineer Data Engineering Engineering Unstructured Data 57

Data Engineering Podcast

NOVEMBER 27, 2022

This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. images, documents, etc.)

Data Process 100

Data Process Process Metadata Business Intelligence 100

Data Engineering Weekly

MAY 8, 2023

Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts.

Process 52

Process Banking Raw Data Finance 52

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. How is the Jet streaming framework architected?

Process 100

Process Unstructured Data Metadata Data Engineer 100

Data Engineering Weekly

OCTOBER 11, 2024

While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. Agent systems powered by LLMs are already transforming how we code and interact with data. Both industries eventually faced a reckoning.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

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 Engineer 98

Data Engineer Data Engineering Engineering Unstructured Data 98

Cloudera

NOVEMBER 15, 2024

Cyber defenders struggle with: Too much data: Cybersecurity tools generate an overwhelming volume of log data, including Domain Name Service (DNS) records, firewall logs, and more. All of this data is essential for investigations and threat hunting, but existing systems often struggle to manage it efficiently.

Metadata 77

Metadata Unstructured Data Data Lake Government 77

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

Monte Carlo

OCTOBER 31, 2024

AI data engineers play a critical role in developing and managing AI-powered data systems. Table of Contents What Does an AI Data Engineer Do? Let’s dive into the tools necessary to become an AI data engineer. The ability and skills to build scalable, automated data pipelines. Let’s dive into the specifics.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Rockset

MARCH 28, 2024

Find an end-to-end Colab notebook that you can run without any dependencies on your local operating system: Recsys_workshop. Introduction A real-time personalized recommender system can add tremendous value to an organization by enhancing the level user engagement and ultimately increasing user satisfaction.

Systems 52

Systems Building Database Utilities 52

Snowflake

NOVEMBER 11, 2024

Here’s how Snowflake Cortex AI and Snowflake ML are accelerating the delivery of trusted AI solutions for the most critical generative AI applications: Natural language processing (NLP) for data pipelines: Large language models (LLMs) have a transformative potential, but they often batch inference integration into pipelines, which can be cumbersome.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 52

Snowflake

FEBRUARY 6, 2024

While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical. In two recent airplane accidents, automated systems aboard a Boeing 737 MAX made decisions based on inaccurate data. Having limited data sources increases risk.

Unstructured Data 104

Unstructured Data Retail Data Manufacturing 104

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Nuance, acquired for $19.7

Medical 52

Medical Healthcare Process Hospitality 52

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing.

Technology 64

Technology Process Insurance Medical 64

AltexSoft

DECEMBER 23, 2022

Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. One of the ways to overcome challenges and gain more opportunities in terms of data integration is to build an ELT (Extract, Load, Transform) pipeline. Order of process phases. What is ELT?

Process 52

Process Building Raw Data Data Lake 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. It is also integrable with other programming languages like Python and R.

Database 52

Database SQL Process NoSQL 52

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Data Engineering Podcast

JUNE 26, 2022

In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system. Unstruk is the DataOps platform for your unstructured data.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Tweag

APRIL 19, 2023

Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. A single hospital makes many captures a day, producing terabytes of such data to store and process.

Medical 60

Medical Process Cloud Bytes 60

Cloudera

NOVEMBER 4, 2024

Before the widespread use of LLMs, document analysis was primarily conducted through manual methods and rule-based systems. These methods were often time-consuming, labor-intensive, and limited in their ability to handle complex language nuances and unstructured data.

Unstructured Data 74

Unstructured Data Architecture Algorithm Machine Learning 74

AltexSoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. No support for batch data. Connection layer.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Data Engineering Weekly

JULY 21, 2024

[link] Manuel Faysse: ColPali - Efficient Document Retrieval with Vision Language Models 👀 80% of enterprise data exists in difficult-to-use formats like HTML, PDF, CSV, PNG, PPTX, and more. Vimeo discusses its Retrieval-Augmented Generation (RAG) system design for building a knowledge management system.

Data Engineer 117

Data Engineer Data Engineering Engineering Generalist 117

Knowledge Hut

APRIL 23, 2024

It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data. Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Data Engineering Weekly

SEPTEMBER 18, 2024

The Rise of Data Observability Data observability has become increasingly critical as companies seek greater visibility into their data processes. This growing demand has found a natural synergy with the rise of the data lake. As a result, monitoring data in real time was often an afterthought.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

ProjectPro

NOVEMBER 30, 2021

ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Snowflake

OCTOBER 26, 2023

It can use natural language processing (NLP) to automate the process of medical documentation, significantly reducing the administrative burden on healthcare workers and allowing them to focus more on patient care. Healthcare providers: Gen AI is revolutionizing clinical practice and patient care delivery.

Healthcare 85

Healthcare Unstructured Data High Quality Data Medical 85

Knowledge Hut

AUGUST 16, 2024

Academic Prerequisites To become a successful Data Scientist, you need an undergraduate or a postgraduate degree in Computer Science, Mathematics, Statistics, Business Information Systems, Information Management , or any other similar field. It also helps in saving time by distributing data processing when the dataset size is large.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Jesse Anderson

SEPTEMBER 14, 2023

All the while, there will be a portion of the population that creates more and more complex systems with fewer people. It will be like the Star Trek, Star Wars, or other Sci-Fi episodes when the incredibly advanced civilization has no one left to maintain or create the systems as no one learned enough to do it.

Data Engineer 147

Data Engineer Data Engineering Engineering NoSQL 147

Striim

OCTOBER 11, 2024

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Ease of use Snowflake’s architectural simplicity improves ease of use.

Manufacturing 89

Manufacturing Unstructured Data Cloud Architecture 89

Data Engineering Weekly

JUNE 30, 2024

The paper highlights several challenges, including the need for massive industrial mobilization to support the growing demands for GPU, data centers, and power infrastructure. Controlling AI systems that are much smarter than humans is an unsolved technical problem, and failure could lead to catastrophic outcomes.

Data Engineer 102

Data Engineer Data Engineering Engineering Unstructured Data 102

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. Scientific Financial Systems Beating the market is the driving force for investment management firms — but beating the market is not easy.

Pipeline-centric 128

Pipeline-centric Food Healthcare Unstructured Data 128

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. For their full insights, read the new report, Healthcare and Life Sciences Data + AI Predictions 2024.

Healthcare 91

Healthcare Hospitality Electronics Medical 91