NoSQL Databases and Their Use Cases
KDnuggets
MARCH 16, 2023
Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.
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KDnuggets
MARCH 16, 2023
Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.
KDnuggets
APRIL 19, 2024
Learn about Vectors and How Storing Data Can Be Used in LLM Applications.
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Data Engineering Podcast
APRIL 14, 2024
Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Can you describe what constitutes a NoSQL database? How does the underlying representation (e.g.
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Knowledge Hut
APRIL 23, 2024
Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments.
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Knowledge Hut
MARCH 19, 2024
It offers more than 170 AWS services to the developers so they can use them from anywhere when required. I will explore the top 10 AWS applications and their use cases in this blog. AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases.
DareData
MARCH 5, 2024
Discover some examples of Generative AI Use Cases and what how you can level up your organization and business In the dynamic landscape of artificial intelligence, Generative AI agents have taken the center stage when it comes to adding value to organizations' processes. Contact me ivo@daredata.engineering or through our website.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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!
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.
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.
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.
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.
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.
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.
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.
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.
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