databricks

JULY 15, 2025

Databases and Apps for AI-Native Workloads Lakebase is the first fully managed Postgres database integrated with the lakehouse and built for intelligent applications. It simplifies assessment, conversion, validation, and reconciliation - offering up to 2x faster implementation for teams moving off Teradata, Oracle, Snowflake, and more.

Government 103

Government Entertainment BI Manufacturing 103

ProjectPro

JUNE 6, 2025

What makes the Azure SQL database so popular for OLTP applications? What features of Microsoft Azure SQL database give it an edge over its competitors? To get answers to all these questions, read our ultimate guide on Azure SQL Database! Table of Contents What is Azure SQL Database? How To Connect To Azure SQL Database?

Database 58

Database SQL Cloud Data Management 58

Christophe Blefari

JANUARY 11, 2025

AI companies are aiming for the moon—AGI—promising it will arrive once OpenAI develops a system capable of generating at least $100 billion in profits. Meaning: a YAML configuration system for ingestion and transformations, and now, visualisation with BI-as-code. Meanwhile, the AI landscape remains unpredictable.

Data 130

Data Data Warehouse Programming Language Coding 130

ProjectPro

JUNE 6, 2025

Imagine you're a detective trying to identify a suspect from a database of millions of mugshots. Chroma DB is an open-source vector database designed to store and manage vector embeddings—numerical representations of complex data types like text, images, and audio. Each movie in your database has a description or review.

Database 40

Database Metadata Medical Recruitment 40

ProjectPro

JUNE 6, 2025

Explore the world of data analytics with the top AWS databases! Check out this blog to discover your ideal database and uncover the power of scalable and efficient solutions for all your data analytical requirements. Let’s understand more about AWS Databases in the following section.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

” This blog will align with that vision by exploring what Pinecone Vector Database is, how to use Pinecone Vector Database, and explore a comprehensive Pinecone Vector Database tutorial with a simple example. Table of Contents What is a Pinecone Vector Database?

Database 40

Database Project Metadata Unstructured Data 40

ProjectPro

JUNE 6, 2025

With a CAGR of 30%, the NoSQL Database Market is likely to surpass USD 36.50 Two of the most popular NoSQL database services available in the industry are AWS DynamoDB and MongoDB. This blog compares these two popular databases- DynamoDB vs. MongoDB- to help you choose the best one for your data engineering projects.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Similarity search plays a crucial role by enabling systems to find items similar to a given query item. Want to find similar images in a massive database? This blog explores the FAISS Vector Database, a versatile tool applicable to various applications. FAQs on FAISS Vector Database Is FAISS an in-memory database?

Database 40

Database Datasets Algorithm Hadoop 40

KDnuggets

JULY 15, 2025

To put it simply, it is a system that collects data from various sources, transforms, enriches, and optimizes it, and then delivers it to one or more target destinations. Recommended actions: Establish secure, scalable connections to data sources like APIs, databases, or third-party tools.

Data Ingestion 99

Data Ingestion Data Pipeline Building Raw Data 99

ProjectPro

JUNE 6, 2025

Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. Ability to demonstrate expertise in database management systems. You may skip chapters 11 and 12 as they are less useful for a database engineer. What is Data Engineering?

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

Monte Carlo

OCTOBER 31, 2024

AI data engineers play a critical role in developing and managing AI-powered data systems. The foundational skills are similar between traditional data engineers and AI data engineers are similar, with AI data engineers more heavily focused on machine learning data infrastructure, AI-specific tools, vector databases, and LLM pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

Physical data model- The physical data model includes all necessary tables, columns, relationship constraints, and database attributes for physical database implementation. A physical model's key parameters include database performance, indexing approach, and physical storage. What is the definition of a foreign key constraint?

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Ascend.io

NOVEMBER 14, 2024

Ensure the provider supports the infrastructure necessary for your data needs, such as managed databases, storage, and data pipeline services. Leverage Built-In Partitioning Features: Use built-in features provided by databases like Snowflake or Databricks to automatically partition large datasets.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Data Integration 52

KDnuggets

JUNE 10, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. DuckDB is a free, open-source, in-process OLAP database built for fast, local analytics. What Is DuckDB? And this leads us to the following natural question.

Python 103

Python Data Science SQL Machine Learning 103

Ascend.io

OCTOBER 28, 2024

The cleaned data would then be stored in a centralized database, ready for further analysis. This technique is vital for ensuring consistency and accuracy across datasets, especially in organizations that rely on multiple data systems. This ensures that the sales data is accurate, reliable, and ready for meaningful analysis.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Datasets 52

ThoughtSpot

NOVEMBER 5, 2024

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. What is metadata?

Metadata 52

Metadata PostgreSQL Java Database 52

ProjectPro

JUNE 6, 2025

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. The databases are run on a single instance of 2VCPUs and 8GP memory.

NoSQL 40

NoSQL Database Hadoop Big Data 40

databricks

JUNE 11, 2025

Last year, the promise of data intelligence – building AI that can reason over your data – arrived with Mosaic AI, a comprehensive platform for building, evaluating, monitoring, and securing AI systems. Too many knobs : Agents are complex AI systems with many components, each that have their own knobs.

Entertainment 139

Entertainment Manufacturing Retail Consulting 139

KDnuggets

JULY 17, 2025

Thus, securing suitable data is crucial for any data professional, and data pipelines are the systems designed for this purpose. Data pipelines are systems designed to move and transform data from one source to another. Without proper data, we cannot perform our tasks, and our business will fail to gain a competitive advantage.

Data Pipeline 104

Data Pipeline Python Building Data Science 104

Precisely

JANUARY 9, 2025

The simple idea was, hey how can we get more value from the transactional data in our operational systems spanning finance, sales, customer relationship management, and other siloed functions. There was no easy way to consolidate and analyze this data to more effectively manage our business. But simply moving the data wasnt enough.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Data Engineering Weekly

JUNE 22, 2025

[link] Sponsored: Dagster Deep Dive - Breaking Biology's Data Wall In this session, Keith Kam from Basecamp Research shares practical insights from developing BaseData™, the world's most diverse metagenomic sequence database designed to power the next generation of bio AI foundation models.

Data Engineering 52

Data Engineering Data Engineer Engineering Manufacturing 52

ProjectPro

JUNE 6, 2025

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. Database tools/frameworks like SQL, NoSQL , etc.,

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Learn to Interact with the DBMS Systems Many companies keep their data warehouses far from the stations where data can be accessed. The role of a data engineer is to use tools for interacting with the database management systems. You will use SQL statements to query data in Relational Database Management Systems (RDBMS).

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

It's the magic of vector databases! researchers have developed vector databases that allow users to utilize similarity search through vectors. With this blog, you will discover how these innovative databases can revolutionize storage, retrieval, and analysis, amplifying artificial intelligence (AI) applications' potential.

Database 40

Database Algorithm Machine Learning Metadata 40

Netflix Tech

JULY 10, 2025

With the goal of building a flexible, configuration-driven system, we looked to server-driven UI (SDUI) as an appealing solution. Initial Tudum data architecture The high-level diagram above focuses on storage & distribution, illustrating how we leveraged Kafka to separate the write and read databases.

Kafka 74

Kafka Architecture Datasets Metadata 74

ProjectPro

JUNE 6, 2025

Explore how to implement Graph RAG using Knowledge Graphs and Vector Databases with practical insights, hands-on resources, and advanced techniques for enhanced information retrieval. Knowledge Graph vs Vector Database for RAG How to implement Graph RAG using Knowledge Graphs and Vector Databases?

Building 52

Building Unstructured Data Database Datasets 52

RandomTrees

NOVEMBER 25, 2024

Telecom operators have a lot of sensitive information relating to customers on their databases, and employing AI in evaluating this data raises the question of how it is safeguarded. One of the primary issues is data privacy.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

ProjectPro

JUNE 6, 2025

AWS CloudWatch With the help of AWS CloudWatch , you can consolidate all of your system, application, and AWS service logs into a single, highly scalable service. Additionally, engineers can build schemas and tables, import data visually, and explore database objects using Query Editor v2.

AWS 52

AWS Data Engineering Data Engineer Project 52

databricks

JULY 7, 2025

How Databasin is leading commercialization efforts to bring equity, scalability, and access to more health systems across the country. Why storytelling with data is the key to creating institutional momentum for responsible AI adoption. 👉 Read the full Q&A and explore real-world use cases on the Databasin website, here !

Healthcare 107

Healthcare Entertainment Manufacturing Retail 107

Pinterest Engineering

JUNE 5, 2025

However, scaling-in can be more challenging and can potentially impact running applications or the scratch data on the Hadoop File System (HDFS). On the other hand, scaling-out, which involves adding more nodes to the cluster, is as simple as modifying the ASG size values in the Terraform configuration and applying the change.

Hadoop 45

Hadoop AWS Big Data Utilities 45

Towards Data Science

DECEMBER 10, 2024

TL;DR Take advantage of old school database tricks, like ENUM data types, and column constraints. Unfortunately, this pipeline was very prone to data quality issues, and the solution in place was a build-then-test system, which ran each night. Each source came from a different revenue provider, and as such a different system.

PostgreSQL 75

PostgreSQL Data Python SQL 75

databricks

JUNE 11, 2025

Published: June 11, 2025 Announcements 5 min read by Ali Ghodsi , Stas Kelvich , Heikki Linnakangas , Nikita Shamgunov , Arsalan Tavakoli-Shiraji , Patrick Wendell , Reynold Xin and Matei Zaharia Share this post Keep up with us Subscribe Summary Operational databases were not designed for today’s AI-driven applications.

Entertainment 85

Entertainment Data Lake Manufacturing Retail 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 Engineering 64

Data Engineering Data Engineer Unstructured Data Engineering 64

RudderStack

JUNE 24, 2025

Manager, Technical Marketing Content Get the newsletter Subscribe to get our latest insights and product updates delivered to your inbox once a month As organizations adopt more tools and platforms, their data becomes increasingly fragmented across systems. What is data federation?

IT 59

IT Data Consolidation Metadata Government 59

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. Suppose a batch from a transactional system only loads partial records into the Bronze layer due to truncation or data source issues.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Towards Data Science

JANUARY 7, 2025

One question that puzzled me, though, was how tools like the Debezium CDC connectors can read changes from MySQL and PostgreSQL databases. Change Data Capture (CDC) is a powerful and efficient tool for transmitting data changes from relational databases such as MySQL and PostgreSQL. Sure, transactional logs might be the answerbut why?

PostgreSQL 84

PostgreSQL MySQL Data Lake Bytes 84

ProjectPro

JUNE 6, 2025

Fundamentals of Data Engineering: Plan and Build Robust Data Systems - Joe Reis and Matt Housley This book helps you learn how to plan and build systems to meet your company's and customers' demands by analyzing the best technologies available within the context of the data engineering lifecycle.

Data Engineering 45

Data Engineering Data Engineer Engineering Lambda Architecture 45