Robinhood

MARCH 4, 2024

Part 2: Types of graph intelligence for combating fraud To gain intelligence for combating fraud via graph, there are two graph algorithms. -> Type 1: Vertex-centric intelligence Vertex-centric graph intelligence helps us quantify the likelihood that the user is a bad actor.

Database-centric 83

Database-centric Finance Algorithm Banking 83

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

Picnic Engineering

FEBRUARY 13, 2025

A decade ago, Picnic set out to reinvent grocery shopping with a tech-first, customer-centric approach. For instance, we built self-service tools for all our engineers that allow them to handle tasks like environment setup, database management, or feature deployment effectively.

Engineering 52

Engineering Database-centric Generalist Java 52

DataKitchen

NOVEMBER 5, 2024

Bronze layers can also be the raw database tables. In that case, a practical approach is to set up periodic polling of the Silver layer database to run data quality tests and check for anomalies at scheduled intervals. Bronze layers should be immutable. Alternatively, suppose you do not control the ingestion code.

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Snowflake

SEPTEMBER 24, 2024

Becoming a data-centric company is not optional — it’s essential to remain competitive, profitable and a desirable workplace. A strong data foundation helps companies ensure compliance with regulations and maintain data security, which are top priorities for handling sensitive customer information.

Hospitality 105

Hospitality Cloud Database-centric Data 105

Maxime Beauchemin

MARCH 8, 2021

For those reasons, it is not surprising that it has taken over most of the modern data stack: infrastructure, databases, orchestration, data processing, AI/ML and beyond. That’s without mentioning the fact that for a cloud-native company, Tableau’s Windows-centric approach at the time didn’t work well for the team.

Business Intelligence 130

Business Intelligence BI Database-centric Google Cloud 130

Data Engineering Podcast

APRIL 7, 2019

Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

Maxime Beauchemin

JANUARY 20, 2017

Storage and compute is cheaper than ever, and with the advent of distributed databases that scale out linearly, the scarcer resource is engineering time. The use of natural, human readable keys and dimension attributes in fact tables is becoming more common, reducing the need for costly joins that can be heavy on distributed databases.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Data Engineering Podcast

AUGUST 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Data Engineering Weekly

JUNE 2, 2024

link] Sponsored: DoubleCloud - More than just ClickHouse ClickHouse is the fastest, most resource-efficient OLAP database, which queries billions of rows in milliseconds and is trusted by thousands of companies for real-time analytics. The author highlights the structured approach to building data infrastructure, data management, and metrics.

Data Engineering 104

Data Engineering Data Engineer Engineering Pipeline-centric 104

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. If you want to go deeper to me Dozer looks like Materialize or Popsink but with a different vision, offering more an API as a serving layer than a database. I hope he will fill the gaps. When it comes to modeling it's hard not to mention dbt.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. If you want to go deeper to me Dozer looks like Materialize or Popsink but with a different vision, offering more an API as a serving layer than a database. I hope he will fill the gaps. When it comes to modeling it's hard not to mention dbt.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Towards Data Science

JULY 13, 2023

The example we’ll walk you through will mirror a typical LLM application workflow you’d run to populate a vector database with some text knowledge. This data will move through different services (LLM, vector database, document store, etc.) Store embeddings in a vector database, either LanceDB , Pinecone , or Weaviate.

Building 97

Building Database-centric Database Coding 97

Confluent

JUNE 18, 2019

As the databases professor at my university used to say, it depends. Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough.

Architecture 97

Architecture Building Kafka Database-centric 97

The Pragmatic Engineer

JANUARY 5, 2023

Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.” On that same day, the threat actor downloaded data from another database that stores pipeline-level config vars for Review Apps and Heroku CI.

Pipeline-centric 130

Pipeline-centric Database-centric Coding Accessible 130

Dataquest

JANUARY 25, 2017

Most companies store their data in variety of formats across databases and text files. You’ll have a few different data stores: The database that backs your main app. Ride database. Customer service database. You’ll then need to store the parsed logs in a database, so they can easily be queried by the API.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Cloudera

NOVEMBER 15, 2021

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Related to the neglect of data quality, it has been observed that much of the efforts in AI have been model-centric, that is, mostly devoted to developing and improving models , given fixed data sets.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Data Engineering Weekly

AUGUST 25, 2024

[link] Murat: Understanding the Performance Implications of Storage-Disaggregated Databases The separation of storage and computing certainly brings a lot of flexibility in operating data stores. The author writes an overview of the performance implication of disaggregated systems compared to traditional monolithic databases.

Data Engineering 71

Data Engineering Data Engineer Engineering Database-centric 71

Snowflake

DECEMBER 19, 2023

Benefit #3: Ease of use With the Snowflake Native App Framework, everything needed to resolve or translate identifiers is loaded into the customer’s environment, appropriate permissions are granted so the app knows what database and tables it is allowed to access, and the customer is ready to go.

Building 105

Building Pipeline-centric Database-centric Digital Media 105

Hevo

AUGUST 2, 2024

In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most In 2024, over 11441 companies1 […]

AWS 52

AWS Database-centric Data Warehouse Data Storage 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Christophe Blefari

DECEMBER 19, 2022

But this article is not about the pricing which can be very subjective depending on the context—what is 1200$ for dev tooling when you pay them more than $150k per year, yes it's US-centric but relevant. In my opinion sources have to be at schema/database level and YAML models have to be at the model level.

Management 130

Management Pipeline-centric Database-centric SQL 130

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. Note from the author: Although object-centric process mining was introduced by Wil M.P.

Architecture 52

Architecture Database-centric Process BI 52

Striim

DECEMBER 12, 2023

In this dynamic partnership, the fusion of Striim’s real-time data integration and streaming analytics capabilities with Yugabyte ‘s distributed SQL database, YugabyteDB, promises businesses unprecedented scalability, resilience, and global reach. “At Striim, we believe in the transformative potential of data.

Data Management 59

Data Management Database-centric Management PostgreSQL 59

Knowledge Hut

APRIL 25, 2024

Kubernetes is a container-centric management software that allows the creation and deployment of containerized applications with ease. Here is a sample YAML file used to create a pod with the postgres database. To read more about Kubernetes and deployment, you can refer to the Best Kubernetes Course Online.

Database-centric 81

Database-centric Metadata MongoDB Pipeline-centric 81

DareData

MARCH 5, 2024

At DareData Engineering, we believe in a human-centric approach, where AI agents work together with humans to achieve faster and more efficient results. At its core, RAG harnesses the power of large language models and vector databases to augment pre-trained models (such as GPT 3.5 ).

Database-centric 52

Database-centric Telecommunication SQL Unstructured Data 52

U-Next

AUGUST 17, 2022

SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. Pipeline-centric: Pipeline-centric Data Engineers collaborate with data researchers to maximize the use of the info they gather.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Cloudera

OCTOBER 17, 2023

Their core value proposition is that streaming databases are inherently faster than Flink due to in-memory processing and state management. Kafka-centric approaches leave a lot to be desired, most notably operational complexity and difficulty integrating batch data, so there is certainly a gap to be filled. What about data lock-in?

Kafka 79

Kafka Database-centric Pipeline-centric Database 79

DataKitchen

NOVEMBER 4, 2021

The DataKitchen Platform serves as a process hub that builds temporary analytic databases for daily and weekly ad hoc analytics work. These limited-term databases can be generated as needed from automated recipes (orchestrated pipelines and qualification tests) stored and managed within the process hub. .

Process 98

Process Data Process Pharmaceutical Data Lake 98

AltexSoft

JUNE 7, 2021

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Complex programming environment. Data storage options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Precisely

APRIL 20, 2023

The National Association of REALTORS ® clearly understands this challenge, which is why it built RPR (Realtors Property Resource), the nation’s largest parcel-centric database, exclusively for REALTORS ®. To learn more about RPR and access its database for yourself, visit us online. While RPR can now offer high accuracy for U.S.

Database-centric 52

Database-centric Database Data Datasets 52

François Nguyen

MARCH 22, 2021

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. You are starting to be an operation or technology centric data team.

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Weekly

MARCH 3, 2024

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system.

Data Engineering 68

Data Engineering Data Engineer Engineering Pipeline-centric 68

Monte Carlo

MAY 30, 2024

Retrieval augmented generation (RAG) is an architecture framework introduced by Meta in 2020 that connects your large language model (LLM) to a curated, dynamic database. Data retrieval: Based on the query, the RAG system searches the database to find relevant data.

Pipeline-centric 52

Pipeline-centric Database-centric Datasets Data Pipeline 52

RandomTrees

SEPTEMBER 27, 2024

With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture. Mirroring (a data replication capability) : Access and manage any database or warehouse from Fabric without switching database clients; Mirroring will be available for Azure Cosmos DB, Azure SQL DB, Snowflake, and Mongo DB.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Data Science Blog: Data Engineering

SEPTEMBER 9, 2020

Data is centric in testing of several applications because data is critical to organizations. The tool successfully adheres to the importance of keeping test-data centric in Automation Test solutions. The test-data involved in both Manual/Automation testing encompasses the test-data inputs, test-data outputs, and the test-data flow.

Data Management 52

Data Management Database-centric Management PostgreSQL 52

dbt Developer Hub

NOVEMBER 13, 2023

By building your production-grade models into a different schema and database , you can experiment in peace without being worried that your changes will accidentally impact downstream users. We need to exchange a job-oriented strategy for a more mature and scalable environment-centric view of the world.

Cloud 52

Cloud Database-centric Metadata Data Warehouse 52