phData

NOVEMBER 4, 2024

It must integrate seamlessly across data technologies in the stack to execute various workflows—all while maintaining a strong focus on performance and governance. Two key technologies that have become foundational for this type of architecture are the Snowflake AI Data Cloud and Dataiku.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

phData

JULY 10, 2024

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Data Science Dojo

SEPTEMBER 5, 2024

Here’s a list of 5 no-code AI tools for software developers What is Data Science? Data science is an interdisciplinary field that combines statistics, business acumen, and computer science to extract valuable insights from data and inform decision-making processes. As per the U.S.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Here’s a list of 5 no-code AI tools for software developers What is Data Science? Data science is an interdisciplinary field that combines statistics, business acumen, and computer science to extract valuable insights from data and inform decision-making processes. As per the U.S.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

IBM Journey to AI blog

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Boyce to create Structured Query Language (SQL). Its robust architecture and proven performance have given businesses uninterrupted access to critical data while powering their enterprise-level applications.

Database 101

Database SQL Data Warehouse Machine Learning 101

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

IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 92

Data Warehouse AWS AI AI 92

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Tableau

JUNE 8, 2021

The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. .

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

phData

APRIL 28, 2025

As a bonus, well check out Matillions AI Copilot and see how AI can help take workflow design to the next level. A Matillion pipeline is a collection of jobs that extract, load, and transform (ETL/ELT) data from various sources into a target system, such as a cloud data warehouse like Snowflake.

AI 52

AI AI SQL ETL 52

phData

JUNE 11, 2025

One question that routinely keeps many of our early Snowflake AI Data Cloud clients up at night is, “Is my org utilizing Snowflake to its fullest potential?” We can set the STATEMENT_TIMEOUT_IN_SECONDS parameter to define the maximum time a SQL statement can run before it is canceled.

Clustering 59

Clustering SQL Database Data Lakes 59

Smart Data Collective

APRIL 8, 2020

The data collected in the system may in the form of unstructured, semi-structured, or structured data. 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

IBM Journey to AI blog

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. You can use query_string to filter your dataset by SQL and unload it to Amazon S3. Sherry Ding is a Senior AI/ML Specialist Solutions Architect.

ML 123

ML ML AWS Data Warehouse 123

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

AI 74

AI AI Machine Learning Machine Learning 74

AWS Machine Learning Blog

NOVEMBER 27, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud. Build and train models in SageMaker Canvas.

ML 96

ML ML AWS SQL 96

Dataconomy

SEPTEMBER 27, 2024

It was my first job as a data analyst. It helped me to become familiar with popular tools such as Excel and SQL and to develop my analytical thinking. The time I spent at Renault helped me realize that data analytics is something I would be interested in pursuing as a full-time career.

Analytics 113

Analytics Analytics Big Data Big Data 113

AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. For instructions, refer to Bring Your Own AI Models to Salesforce with Einstein Studio.

ML 97

ML ML AWS AI 97

phData

AUGUST 1, 2024

A prime example of this is automating repetitive code performed in many models or implementing a new feature introduced in your cloud data warehouse. Scenarios Now, we need to build the SQL statements. In this case, we have to create it before loading the data. In our case, we need to set up the temporary table SQL first.

SQL 52

SQL Database Data Warehouse Cloud Data 52

DataRobot Blog

MARCH 17, 2022

Today, I’m excited to introduce DataRobot AI Cloud 8.0 , the mission critical innovation to help every business better and more intelligently navigate the most unpredictable of markets with no-code solutions that deliver timely, continuous, and trusted insights from more of your data. DataRobot AI Cloud 8.0

AI 52

AI AI Machine Learning Machine Learning 52

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. This process is repeated until the entire text is divided into coherent segments.

Python 52

Python Database SQL Machine Learning 52

IBM Journey to AI blog

MAY 12, 2023

IBM Consulting™ helped the customer modernize its architecture for a heavily used business-to-business conversational AI app. Along the way, it needed to transform its organizational footprint, technology architecture and workplace culture—all sustainably.

Azure 93

Azure Database Data Visualization Clustering 93

phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. Designed to cheaply and efficiently process large quantities of data.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

Alation

JULY 18, 2022

Are your data users overwhelmed by silos and frustrated by untrusted data? That was the message — delivered a little more elegantly than that — at Databricks’ Data+AI Summit 2022. A simple model to control access to data via a UI or SQL. Tell them to grab a catalog … and go jump in a lake. and much more!

AI 52

AI AI Data Lakes Azure 52

phData

SEPTEMBER 2, 2024

Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. It offers a cloud-agnostic data productivity hub called Matillion Data Productivity Cloud. This will ensure if anyone is rerunning the entire job after resolving the failure, data duplication won’t happen.

ETL 52

ETL Data Warehouse SQL Database 52

AWS Machine Learning Blog

DECEMBER 1, 2023

Proper data preparation leads to better model performance and more accurate predictions. SageMaker Canvas allows interactive data exploration, transformation, and preparation without writing any SQL or Python code. About the authors Chida Sadayappan leads Deloitte’s Cloud AI/Machine Learning practice.

Machine Learning 116

Machine Learning Machine Learning Data Preparation ML 116

Tableau

JUNE 8, 2021

The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. .

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

IBM Journey to AI blog

JULY 11, 2023

Cloud object storage support The next generation of Db2 Warehouse introduces support for cloud object storage as a new storage medium within its storage hierarchy. Summary Db2 Warehouse Gen3 delivers an enhanced approach to cloud data warehousing, especially for always-on, mission-critical analytics workloads.

Data Warehouse 60

Data Warehouse Database Cloud Data Big Data 60

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Some of the other ways are creating a table 1) using the command line in Google Cloud console, 2) using the APIs, or 3) from Vertex AI Workbench.

SQL 52

SQL Database Apache Hadoop Data Science 52

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Women in Big Data

DECEMBER 9, 2024

Lookers strength lies in its ability to connect to a wide variety of data sources. Examples include SQl, DWH, and Cloud based systems (Google Bigquery). With Looker, you can share dashboards and visualizations seamlessly across teams, providing stakeholders with access to real-time data.

Big Data 52

Big Data Big Data Power BI Tableau 52

phData

FEBRUARY 7, 2024

The Snowflake Data Cloud is a leading cloud data platform that provides various features and services for data storage, processing, and analysis. A new feature that Snowflake offers is called Snowpark, which provides an intuitive library for querying and processing data at scale in Snowflake.

Python 52

Python ML ML SQL 52

phData

SEPTEMBER 4, 2024

This article was co-written by Lynda Chao & Tess Newkold With the growing interest in AI-powered analytics, ThoughtSpot stands out as a leader among legacy BI solutions known for its self-service search-driven analytics capabilities. Suppose your business requires more robust capabilities across your technology stack. Why Use ThoughtSpot?

Analytics 52

Analytics Analytics SQL ETL 52

phData

JULY 24, 2024

With that data, we can use artificial intelligence (AI) to determine whether or not the campaign was worth it. AI models can determine which campaigns will achieve the best results based on various factors such as website visits, social media interactions, etc.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52