AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Order of process phases. What is ELT?

Process 52

Process Building Raw Data Data Lake 52

Snowflake

NOVEMBER 11, 2024

At Snowflake BUILD , we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines.

Unstructured Data 72

Unstructured Data SQL AWS Healthcare 72

Snowflake

FEBRUARY 5, 2024

Financial services organizations need a modern data platform that allows them to anonymize data and share it without moving or copying it or risking the exposure of PII. Increasingly, financial institutions will monetize their data through apps and data marketplaces. The possibilities are endless.

Unstructured Data 102

Unstructured Data Banking Government Insurance 102

Snowflake

NOVEMBER 4, 2024

Now, it’s time to BUILD. Join us for BUILD 2024, a three-day global virtual conference taking place Nov. 12-15, to hear major Snowflake product announcements firsthand and to learn how to build with our latest innovations through dozens of technical sessions and hands-on labs. Cost-effectiveness! Efficiency!)

Unstructured Data 86

Unstructured Data Python Data Pipeline Machine Learning 86

Towards Data Science

FEBRUARY 9, 2024

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed?

Building 78

Building Transportation Data Lake Metadata 78

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 91

Unstructured Data Pharmaceutical Banking Manufacturing 91

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. images, documents, etc.)

Data Process 100

Data Process Process Metadata Business Intelligence 100

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 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

Data Engineering Podcast

SEPTEMBER 14, 2020

I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Process 100

Process Unstructured Data Metadata Data Engineer 100

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 tend to focus primarily on AI, generative AI (GenAI), and machine learning (ML)-specific needs, like handling unstructured data and supporting real-time analytics. Let’s dive into the tools necessary to become an AI data engineer. The ability and skills to build scalable, automated data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Snowflake

JUNE 5, 2024

Enterprises can utilize gen AI to extract more value from their data and build conversational interfaces for customer and employee applications. Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards.

Coding 90

Coding Building Management Government 90

Monte Carlo

NOVEMBER 26, 2024

Here’s where leading futurist and investor Tomasz Tunguz thinks data and AI stands at the end of 2024—plus a few predictions of my own. 2025 data engineering trends incoming. Process > Tooling (Barr) 3. Small data is the future of AI (Tomasz) 7. Small data is the future of AI (Tomasz) 7. Table of Contents 1.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Data Engineering Podcast

JUNE 26, 2022

In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Rockset

APRIL 18, 2023

Join me and Rockset VP of Engineering Louis Brandy for a tech talk, From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale , on May 17th at 9am PT/ 12pm ET. Due to these difficulties, unstructured data has remained largely underutilized. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Snowflake

FEBRUARY 6, 2024

The first step to breaking down internal silos is to establish enterprise-wide data repositories and governance policies that streamline and facilitate appropriate access. To further encourage data use and reuse, adopt data product thinking , processes to facilitate their design and delivery , and teams to build and deploy them.

Unstructured Data 105

Unstructured Data Retail Data Manufacturing 105

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. And what is the reason for that?

Data Lake 52

Data Lake Building Raw Data ETL Tools 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

Data Engineering Weekly

OCTOBER 11, 2024

This next phase, the AI-Native Data Stack , will fundamentally alter how we build, maintain, and scale data systems. The Monolithic Era: Giants of Steel and Data Think of iconic structures like the Empire State Building , the Golden Gate Bridge , and the Hoover Dam. Both industries eventually faced a reckoning.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Handling unstructured data Many AI models are fed large amounts of unstructured data, making data quality management complex.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 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

Cloudera

NOVEMBER 4, 2024

These methods were often time-consuming, labor-intensive, and limited in their ability to handle complex language nuances and unstructured data. We created our “Document Analysis with Command R and FAISS” AMP to make that process even easier.

Unstructured Data 72

Unstructured Data Architecture Algorithm Machine Learning 72

Tweag

APRIL 19, 2023

To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. Marini et al This results in a very large amount of data for a single slide, often a few gigabytes per slide, which is all stored in one big file. data import torch. import pandas as pd import PIL.

Medical 60

Medical Process Cloud Bytes 60

Data Engineering Weekly

JUNE 24, 2024

A few highlights from the report Unstructured data goes mainstream. I guess it is okay to build something from scratch, but I was surprised it was announced on the stage as if Databricks open-source their production version of the Unity catalog. AI-driven code development is going mainstream now. But it seems a complete rewrite.

Data Engineer 109

Data Engineer Data Engineering Engineering Google Cloud 109

ProjectPro

NOVEMBER 30, 2021

The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data. When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. You may get an unexpected result.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Snowflake

APRIL 8, 2024

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data. SignalFlare.ai

Pipeline-centric 128

Pipeline-centric Food Healthcare Unstructured Data 128

Rockset

MARCH 28, 2024

Overview In this guide, you will: Gain a high-level understanding of vectors, embeddings, vector search, and vector databases, which will clarify the concepts we will build upon. Build a dynamic web application using vanilla CSS, HTML, JavaScript, and Flask, seamlessly integrating with the Rockset API and the OpenAI API.

Systems 52

Systems Building Database Utilities 52

AltexSoft

NOVEMBER 23, 2021

The traditional way of data integration involves consolidating disparate data within a single repository — commonly a data warehouse — via the extract, transform, load (ETL) process. You can learn more about how such data pipelines are built in our video about data engineering. Data virtualization use cases.

Process 69

Process Data Lake Metadata Data Warehouse 69

Cloudera

NOVEMBER 15, 2024

The manual process of switching between tools slows down their work, often leaving them reliant on rudimentary methods of keeping track of their findings. Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis.

Metadata 82

Metadata Unstructured Data Data Lake Government 82

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

Snowflake

NOVEMBER 1, 2023

That’s why we created Snowflake Cortex (in private preview), Snowflake’s new, intelligent, fully managed service that enables organizations to quickly analyze data and build AI applications — all within Snowflake. This means anyone who knows Python can securely build powerful LLM apps in minutes or hours, not days or weeks.

Unstructured Data 108

Unstructured Data SQL Python Accessible 108

Data Engineering Weekly

JULY 21, 2024

The author highlights key lessons learning building an analytical org from scratch with key highlights, 1. Focus on Needs Over Nomenclature : Define the outcomes you want from your analytics team instead of getting caught up in the semantics of terms like analytics, data science, and business intelligence.

Data Engineer 117

Data Engineer Data Engineering Engineering Generalist 117

AltexSoft

MAY 12, 2022

Our brains are constantly processing sounds to give us important information about our environment. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data file formats. Audio data transformation basics to know.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

AUGUST 16, 2024

Data Science is one of the fastest-growing, trending tech career tracks. With such a huge demand for the role, a lot of professionals and graduates are trying to step into this field to quench the demand and build lucrative careers. 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

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. And that led to next-level performance on natural language processing. Some takeaways? And potentially with an even bigger impact.

Machine Learning 98

Machine Learning Unstructured Data Data Analytics Government 98

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100