Smart Data Collective

OCTOBER 19, 2022

One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage. There are a number of solutions that can help companies manage their databases. They don’t even necessarily need to understand NoSQL to manage their databases.

Big Data 124

Big Data Big Data Database AWS 124

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery.

Database 59

Database Azure SQL Analytics 59

Smart Data Collective

JANUARY 26, 2021

Big data architecture lays out the technical specifics of processing and analyzing larger amounts of data than traditional database systems can handle. According to the Microsoft documentation page, big data usually helps business intelligence with many objectives. How to Find a Quality Translation Company.

Big Data 130

Big Data Big Data Business Intelligence Business Intelligence 130

Mlearning.ai

FEBRUARY 13, 2023

Welcome to the wild, wacky world of databases! to the digital world, you’ll find that these unsung heroes of the digital age are essential for keeping your data organised and secure. But with so many types of databases to choose from, how do you know which one is right for you? Document DBs 3. and let’s dive in!

Database 52

Database Data Modeling Data Models Big Data 52

IBM Journey to AI blog

MAY 29, 2024

For instance, creating use cases require meticulous planning and documentation, often involving multiple stakeholders and iterations. Designing data models and generating Entity-Relationship Diagrams (ERDs) demand significant effort and expertise. In summary, traditional SDLC can be riddled with inefficiencies.

Data Modeling 87

Data Modeling Data Models Database AI 87

Dataconomy

SEPTEMBER 4, 2023

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Towards AI

JULY 17, 2024

This is a large limitation of a relational database system as relationships need to be defined — they cannot really be discovered. Some databases might use Foreign Key constraints, some might use field naming conventions, some might use neither — its the wild west out there. We use a graph database that is designed for it.

Database 111

Database Data Modeling Data Models SQL 111

AWS Machine Learning Blog

NOVEMBER 18, 2024

One of the key considerations while designing the chat assistant was to avoid responses from the default large language model (LLM) trained on generic data and only use the insurance policy documents. For our use case, we used a third-party embedding model.

AI 117

AI AI Database AWS 117

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Flipboard

NOVEMBER 20, 2024

By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content. By combining the capabilities of LLM function calling and Pydantic data models, you can dynamically extract metadata from user queries.

AWS 160

AWS Natural Language Processing Machine Learning Machine Learning 160

Hacker News

NOVEMBER 14, 2023

OnPrem - Geospatial database D2. OnPrem - SAP database D4. OnCloud - Large mirror database D10. OnPrem - LotusNotes database D11. OnPrem - LotusNotes database D11. OnPrem - IBM BPM database D12. In 2000s many of our systems were built on top of IBM Lotus Notes databases. OnPrem - Sharepoint D7.

Power BI 130

Power BI Database Algorithm Azure 130

Dataconomy

OCTOBER 15, 2024

For example, instead of sketching an appropriate database schema, a user would prefer to ask an AI-driven tool to “design a database schema for e-commerce,” and the tool will be able to present a scalable, optimized schema. Developers can interact with LCNC platforms using natural language queries or prompts.

AI 127

AI AI Database Natural Language Processing 127

Flipboard

JULY 24, 2023

It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS. One of the open-source projects built by Stan Girar is Quivr.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Natural Language Processing Data Science 122

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. Understanding the data, categorizing it, storing it, and extracting insights from it can be challenging.

AWS 167

AWS ML ML Analytics 167

Pickl AI

SEPTEMBER 20, 2024

Summary: Apache Cassandra and MongoDB are leading NoSQL databases with unique strengths. Cassandra excels in high write throughput and availability, while MongoDB offers flexible document storage and powerful querying capabilities. Flexible Data Model: Supports a wide variety of data formats and allows for dynamic schema changes.

Database 52

Database Clustering Data Modeling Data Models 52

ODSC - Open Data Science

FEBRUARY 14, 2023

These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases. A massively scalable database that can be used to power popular internet sites would need to have several key features to be successful.

Database 124

Database AI AI Natural Language Processing 124

Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 137

Tableau Analytics Analytics Machine Learning 137

AWS Machine Learning Blog

MAY 31, 2024

Challenges associated with these stages involve not knowing all touchpoints where data is persisted, maintaining a data pre-processing pipeline for document chunking, choosing a chunking strategy, vector database, and indexing strategy, generating embeddings, and any manual steps to purge data from vector stores and keep it in sync with source data.

AWS 136

AWS Machine Learning Machine Learning Database 136

Pickl AI

DECEMBER 17, 2024

Understand their key differences to choose the right database for your project. Introduction Relational database management systems ( RDBMS ) are essential for efficiently handling, storing, and organising structured data. It is open-source and uses Structured Query Language (SQL) to manage and manipulate data.

Database 52

Database SQL Analytics Analytics 52

Iguazio

JULY 22, 2024

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. Atlas Vector Search lets you search unstructured data.

AI 132

AI AI ML ML 132

The MLOps Blog

JUNE 27, 2023

User support arrangements Consider the availability and quality of support from the provider or vendor, including documentation, tutorials, forums, customer service, etc. Check out the Kubeflow documentation. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. These databases store data in tables, which consist of rows and columns.

Database 52

Database SQL Big Data Big Data 52

phData

SEPTEMBER 26, 2023

A common problem solved by phData is the migration from an existing data platform to the Snowflake Data Cloud , in the best possible manner. Sources The sources involved could influence or determine the options available for the data ingestion tool(s). These could include other databases, data lakes, SaaS applications (e.g.

SQL 52

SQL Database ETL Data Modeling 52

DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. Most developers are familiar with Git for source code versioning.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Revolutions

JANUARY 21, 2021

by Hong Ooi Last week , I announced AzureCosmosR, an R interface to Azure Cosmos DB , a fully-managed NoSQL database service in Azure. Explaining what Azure Cosmos DB is can be tricky, so here’s an excerpt from the official description : Azure Cosmos DB is a fully managed NoSQL database for modern app development.

Azure 40

Azure SQL Database Administration Database 40

Cambridge Intelligence

JUNE 18, 2024

To build a high-performance, scalable graph visualization application, you need a reliable way to store and query your data. Neo4j is one of the most popular graph database choices among our customers. It’s well-documented, easy to use and feature-complete, with sharding, ACID compliance and Cypher support.

Database 59

Database Data Modeling Data Models Data Visualization 59

DagsHub

OCTOBER 23, 2024

There are 5 stages in unstructured data management: Data collection Data integration Data cleaning Data annotation and labeling Data preprocessing Data Collection The first stage in the unstructured data management workflow is data collection. mp4,webm, etc.), and audio files (.wav,mp3,acc,

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Cambridge Intelligence

APRIL 4, 2023

The Neo4j graph data platform Neo4j has cemented itself as the market leader in graph database management systems, so it’s no surprise that many of our customers want to visualize connected data stored in Neo4j databases. It’s a great option if you don’t want the hassle of database administration.

Data Visualization 59

Data Visualization Database Database Administration Data Modeling 59

Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

Dataconomy

MAY 2, 2023

What do machine learning engineers do: They analyze data and select appropriate algorithms Programming skills To excel in machine learning, one must have proficiency in programming languages such as Python, R, Java, and C++, as well as knowledge of statistics, probability theory, linear algebra, and calculus.

ML 110

ML ML Machine Learning Machine Learning 110

IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. This type of next-generation data store combines a data lake’s flexibility with a data warehouse’s performance and lets you scale AI workloads no matter where they reside.

AI 88

AI AI Data Warehouse ML 88

phData

MAY 25, 2023

Having gone public in 2020 with the largest tech IPO in history, Snowflake continues to grow rapidly as organizations move to the cloud for their data warehousing needs. Importing data allows you to ingest a copy of the source data into an in-memory database.

Power BI 84

Power BI Analytics Analytics Azure 84

Pickl AI

AUGUST 9, 2024

Hierarchies align data modelling with business processes, making it easier to analyse data in a context that reflects real-world operations. Designing Hierarchies Designing effective hierarchies requires careful consideration of the business requirements and the data model.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

phData

AUGUST 10, 2023

Leverage dbt’s `test` macros within your models and add constraints to ensure data integrity between data vault entities. Maintain lineage and documentation: Data Vault emphasizes documenting the data lineage and providing clear documentation for each model.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

Tableau 99

Tableau Business Intelligence Business Intelligence Analytics 99

phData

FEBRUARY 8, 2024

Data Modeling, dbt has gradually emerged as a powerful tool that largely simplifies the process of building and handling data pipelines. dbt is an open-source command-line tool that allows data engineers to transform, test, and document the data into one single hub which follows the best practices of software engineering.

Data Modeling 52

Data Modeling Data Models Data Warehouse Database 52