Towards Data Science

OCTOBER 7, 2023

What generative AI use cases are realistic, achievable, and actually worth the ROI? We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen-AI at scale. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 75

Unstructured Data Finance SQL Media 75

Rock the JVM

APRIL 24, 2024

Introduction In modern application development, efficient database interactions are crucial for building scalable and maintainable systems. One such powerful tool among others ( Doobie , Slick , Quill etc) is the Skunk Scala library , which provides a functional and typesafe interface for PostgreSQL databases access in Scala applications.

Scala 52

Scala Database PostgreSQL SQL 52

Monte Carlo

OCTOBER 4, 2023

What generative AI use cases are realistic, achievable, and actually worth the ROI? We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen AI at scale. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

The Modern Data Company

JULY 24, 2023

By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases. Understanding Chaining Data Products Chaining data products refers to the process of integrating and interconnecting multiple data products to create a data ecosystem that supports complex use cases.

Data Lake 85

Data Lake Transportation Algorithm Data 85

Pinterest Engineering

JANUARY 4, 2024

While KVStore was the client facing abstraction, we also built a storage service called Rockstorewidecolumn : a wide column, schemaless NoSQL database built using RocksDB. Additionally, the last section explains how this new database supports a key platform in the product.

Database 76

Database Building Datasets Relational Database 76

KDnuggets

NOVEMBER 2, 2023

We will explore their use cases, key features, performance metrics, supported programming languages, and more to provide a comprehensive and unbiased overview of each database.

Database 103

Database Programming Language Programming 103

Knowledge Hut

MARCH 27, 2024

Think of a database as a smart, organized library that stores and manages information efficiently. In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find. What is a Database?

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

APRIL 23, 2024

We live in a data-driven culture where familiarity with databases is crucial. Database management is crucial for businesses of all sizes to guarantee that their data is complete, safe, and easily available when needed. There will likely be a greater need for database specialists' skills in 2024.

Database 52

Database Management Relational Database SQL 52

Rockset

DECEMBER 31, 2022

Because of this, standard transactional databases aren’t always the best fit. Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. In this post, we’ll cover just that.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Knowledge Hut

MARCH 14, 2024

Do you want a database system that can scale quickly and manage heavy workloads? Should that be the case, Azure SQL Database might be your best bet. Microsoft SQL Server's functionalities are fully included in Azure SQL Database, a cloud-based database service that also offers greater flexibility and scalability.

Database 52

Database SQL Relational Database BI 52

The Modern Data Company

JULY 24, 2023

By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases. Understanding Chaining Data Products Chaining data products refers to the process of integrating and interconnecting multiple data products to create a data ecosystem that supports complex use cases.

Data Lake 52

Data Lake Transportation Algorithm Data 52

The Modern Data Company

JULY 24, 2023

By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases. Understanding Chaining Data Products Chaining data products refers to the process of integrating and interconnecting multiple data products to create a data ecosystem that supports complex use cases.

Data Lake 52

Data Lake Transportation Algorithm Data 52

Hevo

SEPTEMBER 28, 2023

Row store and Column store databases are two different approaches to retrieve and store data from Database Management Systems (DBMS). Both databases are appropriate for many use cases, and each has unique qualities.

Database 52

Database Systems Process Management 52

ProjectPro

JANUARY 27, 2023

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

APRIL 25, 2023

Data Ingestion Framework A Data Ingestion framework consists of the following steps: An API which allows to extract data from various sources and load it to the database and eventually save it to cloud stores for later processing. It is useful for Big Data ingestion. It is highly scalable to very high query loads.

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

Rockset

SEPTEMBER 20, 2022

As more users become familiar with blockchain, attention and resources have started to shift towards other use cases for decentralized applications, or dApps. dApps are built on blockchains and are the use case layer for web3 infrastructure, offering a wide range of services.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

AltexSoft

AUGUST 25, 2021

Specifics of data used in NLP. Tools you can use to build NLP models. Main NLP use cases. Using linguistics, statistics, and machine learning, computers can not only derive meaning from what’s said or written, but also catch contextual nuances and a person’s intent and sentiment in the same way humans do.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

APRIL 19, 2023

It is the process of extracting data from various sources, transforming it into a format suitable for analysis, and loading it into a target database or data warehouse. ETL is used to integrate data from different sources and formats into a single target for analysis. What is an ETL Pipeline?

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

Rockset

MAY 8, 2023

Many organizations that we’ve spoken to are in the exploration phase of using vector search for AI-powered personalization, recommendations, semantic search and anomaly detection. Different user interactions and data points that are used to form vector embeddings at Pinterest.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

Monte Carlo

MARCH 6, 2024

If you’ve been keeping track of our integrations page you might have noticed Monte Carlo is adding support for different databases faster than a nested loop server crash. By the end of 2023, we added Azure SQL database to the list as well as enterprise databases such as Oracle DB , SAP HANA and Teradata.

Database 52

Database MySQL Data Warehouse AWS 52

Pinterest Engineering

NOVEMBER 22, 2023

Goku is our in-house time series database providing cost efficient and low latency storage for metrics data. data before the last 2 hours, since GokuS allows only 2 hours of backfill old data in most cases), it stores a copy of the finalized data on AWS EFS (deep persistent storage). Once the data becomes immutable (i.e.

Database 93

Database Bytes Kafka Architecture 93

AltexSoft

AUGUST 29, 2023

This article explains what a data lake is, its architecture, and diverse use cases. A data lake allows to store data before a specific use case has been identified. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JULY 3, 2023

Data-driven Innovations: Due to a continuous stream of data that can be used for product development and innovation. Use Cases of Real-time Ingestion Real-time ingestion provides organizations with infrastructure for implementing various data capture, data processing and data analyzing tools.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Monte Carlo

MAY 17, 2023

Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Table of Contents Core Data Observability Use Cases 1.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Cloudyard

JANUARY 1, 2023

Read Time: 4 Minute, 18 Second During this post we will discuss the significance of Database role in snowflake. This Role is authorized to have access on Database SALES_DB, Schema inside the DB, and all respective tables. These Roles require access to the SALES_DB database. Eventually,Grant DB role to Account Role.

Database 52

Database Accessible Accessibility Process 52

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? What is REST API?

MySQL 85

MySQL Database Java Programming Language 85

Monte Carlo

APRIL 20, 2023

What are the data lineage use cases and best practices that will drive value for the business? Here is a list of 17 valuable data lineage use cases that can help improve data quality, incident management, democratization, system modernization, and compliance. We’re glad you asked. Courtesy of Monte Carlo.

Data Warehouse 52

Data Warehouse BI Government Data 52

Knowledge Hut

MARCH 20, 2024

There are database management teams with experts handling different affairs. The ones heading these teams are the database administrators. From my personal experience and after studying multiple case studies, I can help you understand this domain better and suggest how you can build a promising career.

Database 52

Database Database-centric Computer Science Certification 52

Monte Carlo

NOVEMBER 28, 2023

One of the increasingly common infiltration points is when data is being synced across databases. This typically occurs when data teams want to move data from a transactional, on-premise, or staging database into the raw layer of their analytical data warehouse, lake or lakehouse. Set up a time to talk to us using the form below!

Database 59

Database Data Warehouse Machine Learning Data 59

Monte Carlo

MAY 17, 2023

Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Table of Contents Core Data Observability Use Cases 1.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

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. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

Database 101

Database Java Data Ingestion SQL 101

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Towards Data Science

DECEMBER 1, 2023

Why static workload is insufficient and what I learned by comparing HNSWLIB and DiskANN using streaming workload Image by DALLE-3 Vector databases are built for high-dimensional vector retrieval. Embeddings are used in many applications like search engines, recommendation systems, and chatbots. MIT Licence.

Database 52

Database Algorithm Datasets Kafka 52

Cloudera

NOVEMBER 9, 2023

To deploy high-performance applications at scale, a rugged operational database is essential. Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale. We tested for two cloud storages, AWS S3 and Azure ABFS.

Cloud Storage 71

Cloud Storage Database Cloud AWS 71

Data Engineering Podcast

AUGUST 6, 2022

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be used. For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. Sifflet also offers a 2-week free trial.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. It contains confidential information which is protected by the Health Insurance Portability and Accountability (HIPAA) act and cannot be used without special consent. Medical data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Rockset

OCTOBER 13, 2023

A vector database not only stores embeddings but also facilitates such common search operations over them. The reason why finding nearby vectors is useful is that semantically similar items end up close to each other in the embedding space. In other words, finding the nearest neighbors is the operation used to find similar items.

Database 52

Database Metadata Algorithm Cloud 52