Snowflake

APRIL 2, 2025

Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew. The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems.

Data Lake 97

Data Lake Cloud Storage Metadata Data Warehouse 97

U-Next

FEBRUARY 16, 2023

As my thoughts started wandering around our Banking systems and Cosmos Bank Cyber-attack 2018. Also, the recovery also gets affected as there is a lag of almost 24 months between fraud and detection. A robust fraud detection and monitoring system is required. The system should time and again monitor and report audit authorities.

Banking 74

Banking Systems Education Government 74

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This makes gathering information for decision making a challenge.

Systems 80

Systems Building Management Data Lake 80

Snowflake

JANUARY 30, 2025

Personalization is also a game changer in healthcare and life sciences, leading to improved patient outcomes and cost savings for healthcare systems. Kumos native app provides this intelligence by combining graph learning over structured data and gen AI models trained on unstructured data, all within the Snowflake environment.

Unstructured Data 97

Unstructured Data Entertainment Healthcare Telecommunication 97

Snowflake

NOVEMBER 11, 2024

Deliver multimodal analytics with familiar SQL syntax Database queries are the underlying force that runs the insights across organizations and powers data-driven experiences for users. Traditionally, SQL has been limited to structured data neatly organized in tables.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

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

databricks

APRIL 1, 2025

To understand why one may use a Knowledge Graph (KG) instead of another structured data representation, its important Understanding GraphRAG What is a Knowledge Graph?

Systems 59

Systems Building Structured Data IT 59

Data Engineering Weekly

MARCH 5, 2025

Data Silos: Breaking down barriers between data sources. Hadoop achieved this through distributed processing and storage, using a framework called MapReduce and the Hadoop Distributed File System (HDFS). Start the Data Governance Process: Don't wait until the last minute to build the data governance framework.

Hadoop 58

Hadoop Metadata Data Ingestion Data Governance 58

Monte Carlo

MARCH 3, 2025

The most common themes: Data readiness- You cant have good AI with bad data. On the structured data side of the house, teams are racing to achieve AI-Ready data. In other words, to create a central source of truth and reduce their data + AI downtime. But you need to observe the whole system.

Unstructured Data 52

Unstructured Data Data Cloud Computing Banking 52

Monte Carlo

NOVEMBER 21, 2024

Instead of handling each piece of data as it arrives, you collect it all and process it in scheduled chunks. It’s like having a designated “laundry day” for your data. This approach is super cost-efficient because you’re not running your systems constantly. The data lakehouse has got you covered!

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Data Engineering Weekly

FEBRUARY 9, 2025

I found the product blog from QuantumBlack gives a view of data quality in unstructured data. link] Pinterest: Advancements in Embedding-Based Retrieval at Pinterest Homefeed Pinterest writes about its embedding-based retrieval system enhancements for Homefeed personalization and engagement.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Data Engineering Weekly

JANUARY 12, 2025

Learn practical strategies to optimize Airflow performance and streamline operations: - Fine-tune configurations to enhance workflow efficiency - Automate Airflow deployments and manage users seamlessly - Monitor system health with advanced observability tools and alerts Join this live session and learn how to scale Airflow efficiently.

Pipeline-centric 58

Pipeline-centric Data Engineering Data Engineer Engineering 58

dbt Developer Hub

DECEMBER 6, 2024

This post will guide you on where specific tests should go in your data pipeline. Note that we are constructing this guidance based on how we structure data at dbt Labs. Translate our guidance to your datas shape, and let us know in the comments section what modifications you made. What does fixable mean?

Data Pipeline 52

Data Pipeline SQL Consulting Systems 52

Rockset

SEPTEMBER 2, 2022

I recently had the good fortune to host a small-group discussion on personalization and recommendation systems with two technical experts with years of experience at FAANG and other web-scale companies. Garg also blogs regularly on real-time data and recommendation systems – read and subscribe here. That’s not machine learning.

Systems 52

Systems Building Machine Learning NoSQL 52

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? What are they responsible for? What skills do they need? Let’s dive into the specifics.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

MAY 2, 2024

Apache Spark is a fast and general-purpose cluster computing system. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming. If you don’t have java installed on your system.

Java 98

Java Hadoop Scala SQL 98

Snowflake

MARCH 14, 2024

They applied solutions like SAP BusinessObjects Data Services, Fivetran and Qlik, or used extractors to get SAP data into SAP BW and then attached more tools to get the data from SAP BW into other systems. Those trade-offs became less acceptable as demand for near real-time data and analytics increased.

IT 121

IT Data Ingestion Data AWS 121

Striim

SEPTEMBER 11, 2024

Here are six key components that are fundamental to building and maintaining an effective data pipeline. Data sources The first component of a modern data pipeline is the data source, which is the origin of the data your business leverages. Because of this, many organizations leverage both.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

MARCH 30, 2023

For this reason, a new data management for ML framework has emerged to help manage this complexity: the “feature store.” Feature store As described in Tecton’s blog , a feature store is a data management system for managing ML feature pipelines, including the management of feature engineering code and data.

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

Knowledge Hut

MAY 31, 2023

Lane line detection while driving Language: Python Data set: mp4 file Source code: Lane-lines-detection-using-Python-and-OpenCV The method of detecting and tracking the lanes on a road while driving using a computer vision system is known as lane line detection while employing machine learning. This is the one of the best AI projects.

Project 96

Project Healthcare Deep Learning Transportation 96

Data Engineering Weekly

JULY 14, 2024

Techniques for turning text data and documents into vector embeddings and structured data. Practical insights into scaling data integration for generative AI with Nexla and Amazon Bedrock. Real-world applications of Nexla’s RAG data flow capabilities in enhancing AI deployment.

Data Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98

Hevo

SEPTEMBER 4, 2024

A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data will be stored in the global cloud by 2025.

Data Warehouse 72

Data Warehouse Structured Data Data Cloud 72

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. When it encounters semi-structured data that does not fit neatly into its existing tables and databases, it simply stores the data as a JSON-like blob.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable. No more scripts, just SQL.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Data Engineering Podcast

JULY 1, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. When doing data collection from various sources, how do you ensure that intellectual property rights are respected?

Machine Learning 100

Machine Learning Metadata Data Preparation Data Collection 100

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Unlike traditional AI systems that operate on pre-existing data, generative AI models learn the underlying patterns and relationships within their training data and use that knowledge to create novel outputs that did not previously exist.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. At Scrapinghub, we specialize in web data extraction , and our products empower everyone from programmers to CEOs to extract web data quickly and effectively.

Kafka 16

Kafka Cloud Amazon Web Services Google Cloud 16

Data Engineering Podcast

FEBRUARY 3, 2019

Open Context is an open access data publishing service for archaeology. It started because we need better ways of dissminating structured data and digital media than is possible with conventional articles, books and reports. What are your protocols for determining which data sets you will work with?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

ThoughtSpot

MARCH 5, 2024

Simplifiy multi-structured data integration by federating JSON, XML, and other formats through Snowflake for analysis. Govern self-service in ThoughtSpot by using multi-structured and transformed data hosted alongside transactional systems in Snowflake.

BI 111

BI Datasets SQL Raw Data 111

Confluent

JUNE 13, 2019

This data pipeline is a great example of a use case for Apache Kafka ®. Observational astronomers study many different types of objects, from asteroids in our own solar system to galaxies that are billions of lightyears away. The technology underlying the ZTF system should be a prototype that reliably scales to LSST needs.

Kafka 102

Kafka Bytes Python Data Pipeline 102

Data Engineering Weekly

MAY 5, 2024

[link] Uber: From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey Constantly adopting and implementing tech advancement with an existing system indicates efficient engineering. Hallucinations and the system's lack of explainability are the primary reasons for mistrust in Gen AI.

Data Engineering 68

Data Engineering Data Engineer Engineering Google Cloud 68

Snowflake

JUNE 4, 2024

Meanwhile, machine learning (ML) remains valuable in established areas of predictive AI, like recommendation systems, demand forecasting and fraud prevention. Stefan Kochi, CTO, Paytronix Model Registry is generally available and makes it easy to govern all ML models — whether you trained them in Snowflake or another ML system.

Data Security 121

Data Security Machine Learning Unstructured Data SQL 121

Monte Carlo

MARCH 12, 2025

For example, when theres an issue, only the ML, BE, or engineers have access to the AI stack, system, and logs to understand the issue, and only the data scientists have the expertise to actually solve it. To learn more about how Monte Carlo can work with your team on your data & AI observability initiative, speak to our team.

AWS 52

AWS Google Cloud Unstructured Data Coding 52

Monte Carlo

MARCH 12, 2025

For example, when theres an issue, only the ML, BE, or engineers have access to the AI stack, system, and logs to understand the issue, and only the data scientists have the expertise to actually solve it. To learn more about how Monte Carlo can work with your team on your data & AI observability initiative, speak to our team.

AWS 52

AWS Google Cloud Unstructured Data Coding 52

Snowflake

JUNE 5, 2024

Cortex AI Cortex Analyst: Enable business users to chat with data and get text-to-answer insights using AI Cortex Analyst, built with Meta’s Llama 3 and Mistral Large models, lets you get the insights you need from your structured data by simply asking questions in natural language.

Coding 115

Coding Building Management Government 115

U-Next

MARCH 1, 2023

They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. Let’s take a look at Morgan Stanley interview question : What is data engineering? What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75