Snowflake

APRIL 9, 2025

Its Snowflake Native App, Digityze AI, is an AI-powered document intelligence platform that transforms unstructured biomanufacturing documentation into structured, actionable data and manages the document lifecycle.

Pharmaceutical 97

Pharmaceutical Manufacturing Data Ingestion SQL 97

Data Engineering Podcast

NOVEMBER 20, 2022

In this episode Ian Schweer shares his experiences at Riot Games supporting player-focused features such as machine learning models and recommeder systems that are deployed as part of the game binary. The biggest challenge with modern data systems is understanding what data you have, where it is located, and who is using it.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. And, check out the documentation here. . Cloudera Operational Database (COD) experience that is is a managed dbPaaS solution. Data ingest.

Database 104

Database Java SQL Data Ingestion 104

Cloudera

JULY 9, 2021

In this post, we will cover how this plugin can be applied in CDP clusters and explain how the plugin enables strong authentication between systems which do not share mutual authentication trust. Using Operational Database Replication Plugin. The parcel is version locked with the version specific binaries. Implementation Details.

Database 100

Database Cloud AWS Systems 100

Snowflake

NOVEMBER 11, 2024

Conversational apps: Creating reliable, engaging responses for user questions is now simpler, opening the door to powerful use cases such as self-service analytics and document search via chatbots. For instance, if your documents are in multiple languages, an LLM with strong multilingual capabilities is key.

Unstructured Data 97

Unstructured Data SQL AWS Healthcare 97

Snowflake

NOVEMBER 11, 2024

Unify transactional and analytical workloads in Snowflake for greater simplicity Many businesses must maintain two separate databases: one to handle transactional workloads and another for analytical workloads. This helps you optimize storage while maintaining regulatory compliance in an easy, scalable way.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Monte Carlo

MARCH 28, 2025

Gemini can polish Google documents for research teams. Table of Contents Understanding How Data + AI Can Break Data System Code Model Data + AI observability must cover inputs and outputs it is all or nothing Understanding How Data + AI Can Break Data + AI applications are complex. But code takes on new weight in the data + AI system.

Coding 52

Coding Systems Data Pipeline ETL Tools 52

Data Engineering Podcast

AUGUST 6, 2021

The trouble is that the data is usually spread across a wide and shifting array of systems, from databases to dashboards. Castor is building a data discovery platform aimed at solving this problem, allowing you to search for and document details about everything from a database column to a business intelligence dashboard.

Database 100

Database SQL BI Business Intelligence 100

Monte Carlo

APRIL 28, 2025

Not every solution out there is built the same, and if youve ever tried to wrangle documentation from scratch, you know how painful a clunky tool can be. This basically means the tool updates itself by pulling in changes to data structures from your systems. Its like a time machine for your documentation. Made a mistake?

Metadata 64

Metadata Hadoop Data SQL 64

Edureka

JANUARY 21, 2025

An overview on “What is RAG” by edureka Retrieval This is the act of getting data from somewhere outside the computer, usually a database, knowledge base, or document store. In RAG, retrieval is the process of looking for useful data (like text or documents) based on what the user or system asks for or types in.

Healthcare 52

Healthcare Education Medical Database 52

Snowflake

APRIL 13, 2025

Agentic AI refers to AI systems that act autonomously on behalf of their users. These systems make decisions, learn from interactions and continuously improve without constant human intervention. Many enterprises face overwhelming data sources, from structured databases to unstructured social media feeds. What is agentic AI?

Data Management 88

Data Management Management Consulting Unstructured Data 88

Cloudera

JANUARY 6, 2021

Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. For more information about catalogs, refer to this documentation [link]. Building this user-defined JSON format is the most preferred method since it can be used with other operations as well.

Machine Learning 133

Machine Learning Data Science Database Building 133

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. Then you begin researching database objects and find a couple of views, but there are some inconsistencies between them so you do not know which one to use. Your first step might be to locate the orders. Does it sound familiar?

Systems 98

Systems Raw Data Metadata Data Cleanse 98

Pinterest Engineering

APRIL 7, 2025

In recent years, while managing Pinterests EC2 infrastructure, particularly for our essential online storage systems, we identified a significant challenge: the lack of clear insights into EC2s network performance and its direct impact on our applications reliability and performance. 4xl with up to 12.5

AWS 57

AWS Bytes Database Data Ingestion 57

Netflix Tech

DECEMBER 17, 2024

Analytics Engineers deliver these insights by establishing deep business and product partnerships; translating business challenges into solutions that unblock critical decisions; and designing, building, and maintaining end-to-end analytical systems.

Engineering 88

Engineering Entertainment Amazon Web Services Utilities 88

Edureka

FEBRUARY 12, 2025

A lot of people use LangChain to do things like chatbots, answering questions, analyzing documents, and automating logic. Integration with External Data : LangChain lets LLMs talk to APIs, databases, and other data sources. Data Retrieval LangChain facilitates integration with: Vector databases (e.g., Why is LangChain important?

IT 52

IT Database Google Cloud Coding 52

Data Engineering Podcast

MAY 29, 2022

Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required. By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database.

Database 100

Database Architecture Data Architecture PostgreSQL 100

Snowflake

FEBRUARY 13, 2025

When you read the documentation on platform as a service (PaaS) offerings, youll often see references to features that are not supported in certain versions of the service, along with outage windows for planned maintenance none of these are an issue with Snowflake. While this system worked, it came with fairly high cost and overhead.

Management 82

Management Government Cloud Unstructured Data 82

Towards Data Science

OCTOBER 12, 2023

The associated data in our scenario is stored in a SAP HCM system which is one of the leading applications for human resource management in enterprise environments. To gather all the necessary information we need to infere a Database Schema to ChatGPT including example datasets and field descriptions by using few-shot prompting.

Data Integration 97

Data Integration Systems Engineering Datasets 97

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. I never thought of PDF as a self-contained document database, but that seems a reality that we can’t deny.

Data Engineer 57

Data Engineer Data Engineering Engineering Unstructured Data 57

Workfall

OCTOBER 3, 2023

What is MySQL Database? CRUD represents Create, Read/Retrieve, Update, and Delete – fundamental actions on persistent storage, aligned with HTTP methods used in web development and database management: – POST: Establishes a fresh resource. What is MySQL Database? What is Spring Boot? – DELETE: Removes a resource.

MySQL 85

MySQL Database Java Coding 85

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. To address these challenges, AI Data Engineers have emerged as key players, designing scalable data workflows that fuel the next generation of AI systems. Experience with vector databases (e.g.,

Data Engineer 62

Data Engineer Data Engineering Unstructured Data Engineering 62

Data Engineering Weekly

AUGUST 6, 2024

CDC Evaluation Guide Google Sheet Link: [link] CDC Evaluation Guide Github Link: [link] Change Data Capture (CDC) is a powerful technology in data engineering that allows for continuously capturing changes (inserts, updates, and deletes) made to source systems. However, managing data consistency across microservices can be challenging.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

DataKitchen

NOVEMBER 5, 2024

This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs. Bronze layers can also be the raw database tables. Finally, the challenge we are addressing in this document – is how to prove the data is correct at each layer.?

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Snowflake

JUNE 13, 2024

Snowflake is launching native integrations with some of the most popular databases, including PostgreSQL and MySQL. With other ingestion improvements and our new database connectors, we are smoothing out the data ingestion process, making it radically simple and efficient to bring data to Snowflake.

Data Ingestion 112

Data Ingestion MySQL PostgreSQL Data Pipeline 112

Monte Carlo

APRIL 8, 2025

In practical terms, this means creating a system where everyone in your organization understands what data they’re handling and how to treat it appropriately, with safeguards if someone accidentally tries to mishandle sensitive information. Step 2: Hunt Down the Sensitive Stuff Now its time to play detective in your database.

PostgreSQL 52

PostgreSQL Medical Database Data 52

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Yet, while retrieval is a fundamental component of any AI application stack, creating a high-quality, high-performance RAG system remains challenging for most enterprises.

Unstructured Data 131

Unstructured Data Metadata Government SQL 131

Precisely

APRIL 7, 2025

Use case (Retail): As an example, imagine a retail company has a customer database with names and addresses, but many records are missing full address information. The solution: They use a data appending process to match their existing data with a third-party database that contains full street addresses. Plan for it.

Retail 74

Retail Datasets Data Portfolio 74

Cloudera

SEPTEMBER 28, 2020

This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. The customer team included several Hadoop administrators, a program manager, a database administrator and an enterprise architect. OS – RHEL/CentOS/OEL 7.6/7.7/7.8

Cloud 132

Cloud Kafka Professional Services Metadata 132

LinkedIn Engineering

MAY 9, 2023

In the past, we addressed latency, throughput and cost issues by migrating off Oracle onto Espresso , an open-source document platform, and adding more nodes. Historically, Profile backend had employed a centralized cache using memcached as a read cache between the application and the database. Maintenance of memcached was challenging.

Database 133

Database Project Datasets Designing 133

Data Engineering Podcast

JANUARY 21, 2024

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. What are the organizational/business factors that contribute to the complexity of these systems?

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Edureka

JANUARY 21, 2025

It is highly adaptable, as it supports extensions for features such as API development, database integration, and authentication. As an example: Systems for authenticating users Dashboards and tools for showing info A small e-commerce site with shopping carts, payment methods, and the ability to browse products.

Python 52

Python Building Certification Database 52

Cloudera

MAY 23, 2024

Information is often redundant and analyzing data requires combining across multiple formats, including written documents, streamed data feeds, audio and video. A “Knowledge Management System” (KMS) allows businesses to collate this information in one place, but not necessarily to search through it accurately.

Systems 80

Systems Building Management Data Lake 80

DataKitchen

DECEMBER 9, 2024

It is necessary to have more than a data lake and a database. A software system where processes can be developed and shared is required. Establish Other Key Systems and Capabilities Besides syndicated data, the team needed a variety of specialized systems to support different areas of their commercial operations.

Pharmaceutical 65

Pharmaceutical Data Lake Cloud Storage Project 65

Striim

MARCH 21, 2025

Business transactions captured in relational databases are critical to understanding the state of business operations. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis. Change Data Capture is a software process that identifies and tracks changes to data in a database.

IT 52

IT Data Lake Data Warehouse Relational Database 52

Knowledge Hut

SEPTEMBER 24, 2024

In the end, you will look at a system ready to serve the best results for the resources and time. Features: Single code base compatible with every major platform Enables to connect to 20+ databases natively via FireDAC's high-paced direct access. Features: Design schema in teams and use on more than one database.

Electronics 98

Electronics MongoDB SQL Java 98

Lyft Engineering

MARCH 27, 2023

However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events. In the context of this article we mean any tool that creates traffic to stress test systems and see how they perform at the limits of their capacity.

Coding 139

Coding Database Systems Engineering 139