Smart Data Collective

MARCH 29, 2022

This is the topic of harnessing data in a manner that is accessible, and tangible has been posited by many. But let’s back up a moment and first talk about the two most common types of data models or schema, found out there: stars and snowflakes. What are Star and Snowflake Schemas? This would be the fact table.

Data Modeling 84

Data Modeling Data Models SQL Analytics 84

ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

AI 98

AI AI Data Science Data Scientist 98

IBM Journey to AI blog

JANUARY 8, 2024

They are able to combine event topics to identify patterns or aggregates to analyze trends and detect anomalies.  It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors. It provides a catalog for publishing event interfaces for others to discover.

EDA 80

EDA Apache Kafka Clustering Data Governance 80

Mlearning.ai

AUGUST 10, 2023

$TABLE_name url:STRING,review:STRING Create and run Dataflow Scheduler jobs The Dataflow Scheduler is used to route topic information from the url for each expected user response; in this example the app, due to user response, sends schema fields url and review.

Power BI 52

Power BI Database Tableau Python 52

Mlearning.ai

JULY 21, 2023

I have been writing about Apache Spark recently and published articles on this topic. After setting up the stream, we split the incoming the string data and apply our schema to the data. After setting up the stream and schema, window functions can be applied. What is Apache Spark and What are The Basics of Streaming?

SQL 52

SQL Big Data Big Data Analytics 52

Smart Data Collective

AUGUST 17, 2022

But keep in mind one thing which is you have to either replicate the topics in your cloud cluster or you will have to develop a custom connector to read and copy back and forth from the cloud to the application. 5 Key Comparisons in Different Apache Kafka Architectures.

Apache Kafka 109

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ODSC - Open Data Science

JUNE 1, 2023

We can solve this problem using just the data in the orders topic. Pinot stores data in tables, each of which must first define a schema. We can then create the table and schema by running the following command: docker run -v $PWD/pinot/config:/config --network pizza-shop apachepinot/pinot:0.12.0-arm64

Analytics 98

Analytics Analytics Apache Kafka Data Science 98

AWS Machine Learning Blog

APRIL 4, 2024

However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests. This results in customized news feeds that surface the topics and sources most relevant to an individual user.

AWS 80

AWS ETL Data Scientist Database 80

ODSC - Open Data Science

SEPTEMBER 12, 2023

These may seem like simpler solutions than traditional databases because they can store essentially any type of data without needing a predefined schema. The session will include a sample code and a demonstration, after which I will be happy to answer any questions that you may have on the topic. at ODSC West 2023.

Data Scientist 97

Data Scientist Database Data Lakes Data Science 97

Smart Data Collective

JANUARY 20, 2020

Moreover, blogging shouldn’t be about random topics but a process that needs intelligent execution to produce remarkable results. Needless to say, finding the right topic is probably the most difficult aspect of blogging. Blogging isn’t only about identifying the best topic and fine tuning the same with grammatical improvements.

Artificial Intelligence 99

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 99

Mlearning.ai

FEBRUARY 16, 2023

Upgraded Star Schemas The schema of a Snowflake warehouse is a step beyond the traditional star schema design methodology. Both schemas offer their own range of authentic benefits in data warehouse arrangement. A Snowflake schema is multidimensional, and its design resembles a snowflake (hence solution’s name).

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

MAY 14, 2024

Read More Performance Optimization With many migrations to Snowflake under their belt, consultants draw on their expertise to implement best practices for schema design and query optimization to ensure seamless operations of your Snowflake platform.

SQL 52

SQL Data Warehouse Data Engineering Data Engineer 52

Mlearning.ai

JUNE 17, 2023

Vector databases are a vast and complex topic, and discussing them in detail is beyond the scope of this article. This agent is designed to interact with SQL databases, from describing a table schema, retrieving data from queries, and even recovering from errors. I invite you to experience the power of LangChain Agents firsthand.

SQL 52

SQL Database Natural Language Processing Data Analyst 52

Pickl AI

JULY 3, 2023

Familiarize yourself with concepts like star schemas, snowflake schemas, and slowly changing dimensions. Develop data visualization skills: Learn how to create visually appealing and informative dashboards, reports, and visualizations using BI tools. Stay curious and committed to continuous learning.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

AWS Machine Learning Blog

DECEMBER 29, 2022

With the trained model, we then set up IoT Device Simulator to publish MQTT signals to a topic that will allow testing of the system to identify desired production settings before production data is used, keeping costs low. Create an IoT rule action to read the MQTT topic an send the topic payload to Timestream for storage.

Machine Learning 72

Machine Learning Machine Learning AWS Database 72

phData

MARCH 27, 2023

So by practicing, especially in these areas, you can make sure you know not just the correct answers but how to debug any potential problems that might be presented to you during the test.

Analytics 52

Analytics Analytics Data Warehouse Database 52

phData

APRIL 18, 2024

In our last blog , we looked at how we can use Snowflake Data Cloud’s new schema detection and evolution feature while loading structured or semi-structured data. In this blog, we will see how we can implement schema change detection and evolution in a streaming scenario. What is Schema Detection And Evolution?

Clustering 52

Clustering Data Engineering Data Engineer Data Engineering 52

phData

MARCH 7, 2023

For example: a Kafka Topic, an API tracking changes in the stock market, IoT sensors streaming metrics about equipment, website events and clicks, live video game player interactions, etc. Otherwise, the rest of the information is plug and play like your username, account name, schema name, database name, role name, and warehouse name.

Data Warehouse 98

Data Warehouse Database 98

IBM Journey to AI blog

NOVEMBER 29, 2023

Fairness Another important metric is “fairness”, a topic gaining prominence due to potential biases present in enterprise-collected datasets. Essentially, this metric measures the relative predictive accuracy of a machine learning model when trained on real data compared to synthetic data.

Data Scientist 88

Data Scientist Machine Learning Machine Learning AI 88

AWS Machine Learning Blog

FEBRUARY 8, 2024

Action groups are a set of APIs and corresponding business logic, whose OpenAPI schema is defined as JSON files stored in Amazon Simple Storage Service (Amazon S3). The schema allows the agent to reason around the function of each API. Create a second action group: For Enter Action group name , enter gather-evidence. Choose Next.

AWS 120

AWS AI AI Python 120

phData

SEPTEMBER 8, 2023

Snowflake allows organizations to define granular access controls at various levels, including databases, schemas, tables, and even down to individual rows or columns. To learn more about connecting your tooling to Snowflake, check out our blog on the topic here. What are the best BI tools to use with Snowflake?

Business Intelligence 59

Business Intelligence Business Intelligence Database Data Warehouse 59

Google Research AI blog

NOVEMBER 17, 2022

Topics covered include preparing for transparency, writing reader-centric summaries in documentation, unpacking the usability and utility of datasets, and maintaining a Data Card over time. Using these descriptions, they identified stakeholders to co-create their Data Card schema.

ML 45

ML ML Data Governance Data Scientist 45

Alation

APRIL 27, 2023

Sponsored by Alation Data mesh is a hot topic in the data world, generating conversations about the benefits and drawbacks of its decentralized approach. Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita.

Data Warehouse 52

Data Warehouse Data Silos Data Governance Data Quality 52

phData

OCTOBER 20, 2023

Loading Schemas and Tables: Once Fivetran completes building the columns and tables to match the source structure, the source data is mapped and populated to the respective targets during the initial sync. We will now go over all the topics one by one. Note that aggregations are not covered at this stage.

Database 52

Database SQL ETL Data Warehouse 52

Alation

APRIL 27, 2023

Sponsored by Alation Data mesh is a hot topic in the data world, generating conversations about the benefits and drawbacks of its decentralized approach. Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita.

Data Warehouse 40

Data Warehouse Data Silos Data Governance Data Quality 40

Alation

JUNE 20, 2023

Data from any other brands we acquired or built were based on the same schema, so an engineering team looking for data would say, “We know about where it is, but we don’t know exactly where it is.” Will: The big topics for the data engineers are lineage, and the titles and descriptions of fields that they’re using.

Data Governance 52

Data Governance Database SQL Data Engineering 52

Alation

MAY 24, 2022

Before diving into that initiative, can you tell us what you’re hearing from customers on the topic of data quality? Peter Wang, senior product manager, Alation: Data quality has consistently been a hot topic for our customers. What does data quality mean to them and why is it so important today?

Data Quality 52

Data Quality Data Pipeline DataOps Analytics 52

phData

JANUARY 30, 2024

Until recent developments in the research community, traditional natural language processing focused on text classification, topic modeling, or simple sentiment analysis. Note that JSON mode does not guarantee that the response matches a specific JSON schema, just that it will parse without error.

Database 52

Database Python Natural Language Processing Deep Learning 52

AWS Machine Learning Blog

AUGUST 4, 2023

In this post, we expand on this topic to demonstrate how to use Einstein Studio for product recommendations. To discover the schema to be used while invoking the API from Einstein Studio, choose Information in the navigation pane of the Model Registry. You will see an Amazon Simple Storage Service (Amazon S3) link to a metadata file.

ML 78

ML ML AWS AI 78

Smart Data Collective

APRIL 2, 2019

Based on Microsoft’s discussion of the topic, CDC makes it much easier for a data store to accept changes within a database as it only updates the changed records of the database instead of reloading the entire tables that were affected.

Data Lakes 83

Data Lakes Big Data Big Data Data Scientist 83

The Data Administration Newsletter

APRIL 3, 2024

I love writing this column for TDAN. It lets me discuss what I learned from a newly released data management book. When I publish a book through Technics Publications, I see the manuscript mostly through the eyes of a publisher. But when I write this column, I see the manuscript through the eyes of a […]

Data Modeling 52

Data Modeling Data Models 52

phData

DECEMBER 4, 2023

More on this topic later; but for now, keep in mind that the simplest method is to create a naming convention for database objects that allows you to identify the owner and associated budget. This includes users, roles, schemas, databases, and warehouses. How will you create the schema for data loads?

Clustering 98

Clustering Database SQL Data Pipeline 98

Snorkel AI

JUNE 27, 2023

And that’s the topic that we will talk about today. So I’ll cover three topics: first, online predictions, and then continual learning, and then real-time monitoring, which is extremely important to enable continual learning. This brings us to the next topic, monitoring. The first is the compute and memory cost.

AI 52

AI AI Data Warehouse Machine Learning 52

Snorkel AI

JUNE 27, 2023

And that’s the topic that we will talk about today. So I’ll cover three topics: first, online predictions, and then continual learning, and then real-time monitoring, which is extremely important to enable continual learning. This brings us to the next topic, monitoring. The first is the compute and memory cost.

AI 52

AI AI Data Warehouse Machine Learning 52

Flipboard

DECEMBER 6, 2023

This meant the prompt needed to include the database schema, a few sample data rows, and human-readable field explanations for the fields that are not easy to comprehend. We do this by combining the user question, database schema, some sample database rows, and detailed instructions as a prompt to the LLM to generate SQL.

SQL 130

SQL Database AWS Machine Learning 130

Chatbots Life

MAY 13, 2023

3 AI Certifications in 3 Days Social Media Marketing Prompts Give you ideas for memes on any topic Can you give me some meme ideas for [dogs]? Give you an idea for a post that can drive engagement on any topic I want to create a post about climate change that can engage my followers. Can you help me with some ideas?

AI 95

AI AI Python Clustering 95

Data Science Dojo

DECEMBER 20, 2023

Older agents are configured to specify an action input as a single string, but this agent can use a tool’s argument schema to create a structured action input. Repeated cycling allows the LLM agent to converge on solutions, reveal deeper insights, and maintain topic focus within an ongoing conversation.

Python 195

Python AI AI Database 195