Smart Data Collective

MAY 20, 2019

IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times. By 2020, over 40 percent of all data science tasks will be automated. More recently, the California Consumer Privacy Act reared its head, which will go into effect in 2020.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158

Database AWS ETL SQL 158

Flipboard

APRIL 11, 2023

In 2022, security wasn’t in the news as often as it was in 2020 and 2021. Database Proliferation Years ago, I wrote that NoSQL wasn’t a database technology; it was a movement. It was a movement that affirmed the development and use of database architectures other than the relational database.

Database 171

Database Python Clustering SQL 171

Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

AWS Machine Learning Blog

DECEMBER 14, 2023

Load processed features for a specified date range using SQL from an Amazon Athena table, then train and deploy the job recommender model. The data compaction ensures efficient crawling and SQL queries in the next stages of the pipeline. Multiple days of data can be processed by separate Processing jobs simultaneously. path_suffix='.parquet',

ETL 121

ETL AWS ML ML 121

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145

Tableau ML ML Database 145

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

DagsHub

DECEMBER 11, 2023

DVC lacks crucial relational database features, making it an unsuitable choice for those familiar with relational databases. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. Most developers are familiar with Git for source code versioning.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

phData

MAY 31, 2023

From there, ChatGPT generates a SQL query which is then executed in the Snowflake Data Cloud , and the results are brought back into the application in a table format. In this case, after the SQL query is executed on Snowflake, it is converted into a Python dataframe, and basic graphic code is executed to generate the image.

SQL 52

SQL Data Modeling Data Models Database 52

AssemblyAI

SEPTEMBER 26, 2023

In this approach, the LLM query retrieves relevant documents from a database and passes these into the LLM as additional context. for text in texts: text.metadata = {"audio_url": text.metadata["audio_url"]} Embed texts Next up we create embeddings for all of our texts and load them into a Chroma vector database.

Database 98

Database Python SQL Machine Learning 98

Applied Data Science

AUGUST 2, 2021

The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team.

Data Science 130

Data Science Data Scientist ML ML 130

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 98

Tableau ML ML Database 98

IBM Journey to AI blog

JANUARY 10, 2023

Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. All SQL and Python code is executed against the NPS database using Jupyter notebooks, which capture query output and graphing of results during the analysis phase of the demonstration.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

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. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.

Power BI 84

Power BI Analytics Analytics Azure 84

Tableau

JULY 28, 2020

Ryan Cairnes Senior Manager, Product Management, Tableau Hannah Kuffner July 28, 2020 - 10:43pm March 20, 2023 Tableau Prep is a citizen data preparation tool that brings analytics to anyone, anywhere. These tips can be used in any of your Prep flows but will have the most impact on your flows that connect to large database tables.

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

Tableau

JULY 28, 2020

Ryan Cairnes Senior Manager, Product Management, Tableau Hannah Kuffner July 28, 2020 - 10:43pm March 20, 2023 Tableau Prep is a citizen data preparation tool that brings analytics to anyone, anywhere. These tips can be used in any of your Prep flows but will have the most impact on your flows that connect to large database tables.

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

How to Learn Machine Learning

JANUARY 10, 2023

According to fortunly , the demand for Blockchain has risen in recent years as we have obviously seen in the Crypto bull runs of 2018 and 2020. Additionally, this language has a built-in database connection module that reduces developers’ troubles in developing blockchain apps. Here you have 5 top resources to learn SQL.

Machine Learning 52

Machine Learning Machine Learning Python SQL 52

Pickl AI

JANUARY 16, 2024

Key takeaways Develop proficiency in Data Visualization, Statistical Analysis, Programming Languages (Python, R), Machine Learning, and Database Management. Database Management Skilled in managing and extracting information from databases. Programming Languages Competency in languages like Python and R for data manipulation.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

AWS Machine Learning Blog

SEPTEMBER 28, 2023

With QuickSight, we’ve been using generative models to power Amazon QuickSight Q , which enable any user to ask questions of their data using natural language, without having to write SQL queries or learn a BI tool, since 2020. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services.

AWS 141

AWS AI AI Machine Learning 141

ML Review

DECEMBER 16, 2019

Source: Neelakantan et al When working with task-oriented systems you need to retrieve data stored in an external database which content you can’t keep in memory. Those can be graph databases, e.g., that work with SPARQL or Cypher, or classical SQL databases. Thank you for reading!

Machine Learning 52

Machine Learning Machine Learning Algorithm Database 52

Heartbeat

JANUARY 5, 2024

Image by Author Large Language Models (LLMs) entered the spotlight with the release of OpenAI’s GPT-3 in 2020. For instance, we may extract data from sources like databases, which we then pass into an LLM and send a processed output to another system. We have seen exploding interest in LLMs and in a broader discipline, Generative AI.

AI 52

AI AI Data Pipeline Deep Learning 52

AWS Machine Learning Blog

OCTOBER 11, 2024

This post dives deep into Amazon Bedrock Knowledge Bases , which helps with the storage and retrieval of data in vector databases for RAG-based workflows, with the objective to improve large language model (LLM) responses for inference involving an organization’s datasets. The LLM response is passed back to the agent.

Database 107

Database AWS Clustering Data Lakes 107