Data Engineering Podcast

FEBRUARY 27, 2022

As organizations start to adopt cloud technologies they need a way to manage the distribution, discovery, and collaboration of data across their operating environments. What are the data replication and consistency guarantees that you are able to offer while spanning across on-premise and cloud systems/block and object storage?

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

Snowflake

FEBRUARY 5, 2024

Increasingly, financial institutions will monetize their data through apps and data marketplaces. But traditional data management systems struggle to store and process vast troves of unstructured data — ranging from emails and social media posts to scanned documents, video and audio recordings.

Unstructured Data 104

Unstructured Data Banking Government Insurance 104

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?

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Building Transportation Data Lake Metadata 78

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.

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Data Engineering Data Engineer 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 Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98

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.

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Unstructured Data Retail Data Manufacturing 106

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. Data engineering followed a similar path.

Manufacturing 109

Manufacturing Transportation Unstructured Data Data Warehouse 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.

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Unstructured Data Metadata Government SQL 113

Monte Carlo

OCTOBER 31, 2024

But what does an AI data engineer do? 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? The ability and skills to build scalable, automated data pipelines. What are they responsible for?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 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.

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Unstructured Data SQL AWS Healthcare 52

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.

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Datasets Unstructured Data Metadata MongoDB 130

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.

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Data Engineering Data Engineer Engineering Generalist 117

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. SignalFlare.ai

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Pipeline-centric Food Healthcare Unstructured Data 129

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.

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Metadata Unstructured Data Data Lake Government 83

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

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. It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications.

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Coding Building Management Government 91

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 73

Unstructured Data Architecture Algorithm Machine Learning 73

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.

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Machine Learning Systems Algorithm Deep Learning 76

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. What is ELT? ELT vs ETL. Order of process phases.

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Process Building Raw 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.

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Manufacturing Unstructured Data Cloud Architecture 91

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

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 59

Metadata Unstructured Data Data Lake Government 59

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.

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Data Science Hadoop Unstructured Data Programming Language 52

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

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Metadata Unstructured Data MongoDB MySQL 130

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.

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Data Warehouse Big Data Unstructured Data Hadoop 52

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 Engineering 102

Data Engineering Data Engineer Engineering Unstructured Data 102

Snowflake

OCTOBER 26, 2023

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. When the structured and unstructured data is in one place, it’s easier to develop and enforce firm quality control standards and establish validation protocols for AI-generated content.

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Healthcare Unstructured Data High Quality Data Medical 87

Towards Data Science

APRIL 6, 2023

Principles, practices, and examples for ensuring high quality data flows Source: DreamStudio (generated by author) Nearly 100% of companies today rely on data to power business opportunities and 76% use data as an integral part of forming a business strategy. PagerDuty), and — if you have one — a data catalog (e.g.,

Unstructured Data 78

Unstructured Data Metadata Data Coding 78

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.

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Healthcare Hospitality Electronics Medical 93

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

AltexSoft

MAY 12, 2022

The approach finds application in security systems for user authentication. Systems like Audio Analytic ‘listen’ to the events inside and outside your car, enabling the vehicle to make adjustments in order to increase a driver’s safety. Audio data file formats. Building an app for snore and teeth grinding detection.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Monte Carlo

MAY 31, 2022

Monte Carlo’s data observability platform does an excellent job mapping table lineage (even field level lineage!) for SQL based transformations, but some of the most popular, Spark-based systems remained a blindspot for us and for the industry at large. A good engineer can build solutions for hard problems.

Data Lake 52

Data Lake Building Scala Metadata 52

Monte Carlo

JANUARY 25, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. Hint: it’s not a one-size-fits-all answer, but answering a few critical questions can help. Let’s jump in!

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Data Warehouse Building Data Lake Data Storage 40

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.

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Data Engineering Data Engineer Engineering Unstructured Data 130

Striim

OCTOBER 11, 2024

A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. Today, we’ll answer the question, “What is a data pipeline?”

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Data Pipeline MongoDB Unstructured Data Data Lake 52

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

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Data Ingestion MySQL PostgreSQL Data Pipeline 92

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Data lineage and metadata systems are a hot topic right now. What are the core problems that Manta aims to solve?

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IT Metadata MongoDB MySQL 100