phData

AUGUST 6, 2024

As today’s world keeps progressing towards data-driven decisions, organizations must have quality data created from efficient and effective data pipelines. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

Data Pipeline 52

Data Pipeline Python Data Engineering Data Engineering 52

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Choose Delete stack.

ETL 136

ETL Data Warehouse Analytics Analytics 136

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Tableau

MAY 19, 2021

Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Access to data. Transparency .

Tableau 91

Tableau Cloud Data Data Pipeline Analytics 91

Flipboard

NOVEMBER 24, 2023

In an increasingly digital and rapidly changing world, BMW Group’s business and product development strategies rely heavily on data-driven decision-making. With that, the need for data scientists and machine learning (ML) engineers has grown significantly.

ML 151

ML ML AWS AI 151

AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. Additionally, it often requires thousands or tens of thousands of hand-labeled images to provide the model with enough data to accurately make decisions.

AWS 131

AWS ML ML Machine Learning 131

AWS Machine Learning Blog

FEBRUARY 23, 2023

To address the large value challenge, you can utilize the Amazon SageMaker distributed data parallelism feature (SMDDP). SageMaker is a fully managed machine learning (ML) service. With data parallelism, a large volume of data is split into batches. This reduces the development velocity and ability to fail fast.

AWS 128

AWS ML ML Machine Learning 128

Smart Data Collective

OCTOBER 27, 2021

Google BigQuery is a serverless and cost-effective multi-cloud data warehouse. Its built-in machine learning makes it possible for users to gain insights predictive and real-time analytics. It can also batch load files from data lakes such as Amazon S3 and HDFS.

Analytics 130

Analytics Analytics Data Warehouse Business Intelligence 130

Tableau

OCTOBER 8, 2021

Our continued investments in connectivity with Google technologies help ensure your data is secure, governed, and scalable. Tableau’s lightning-fast Google BigQuery connector allows customers to engineer optimized data pipelines with direct connections that power business-critical reporting. Direct connection to Google BigQuery.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

Tableau

JUNE 8, 2021

We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models. Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

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. This is where Fivetran and the Modern Data Stack come in.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

Tableau

MAY 19, 2021

Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Access to data. Transparency .

Tableau 52

Tableau Cloud Data Data Pipeline Analytics 52

phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

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. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

ML 123

ML ML AWS Data Warehouse 123

phData

JUNE 26, 2024

This is a perfect use case for machine learning algorithms that predict metrics such as sales and product demand based on historical and environmental factors. Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

Tableau

OCTOBER 8, 2021

Our continued investments in connectivity with Google technologies help ensure your data is secure, governed, and scalable. . Tableau’s lightning-fast Google BigQuery connector allows customers to engineer optimized data pipelines with direct connections that power business-critical reporting.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

ODSC - Open Data Science

JANUARY 2, 2024

Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Like our first Data Engineering Summit , this event will bring together the leading experts in data engineering and thousands of practitioners to explore different strategies for making data actionable.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

AWS Machine Learning Blog

APRIL 12, 2023

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud. Outside of work, Fauzan enjoys spending time in nature.

AWS 113

AWS ML ML Machine Learning 113

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Instead of moving customer data to the processing engine, we move the processing engine to the data. Simply design data pipelines, point them to the cloud environment, and execute.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

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. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

AI 74

AI AI Machine Learning Machine Learning 74

ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Its open-source nature means it’s continually evolving, thanks to contributions from its user community.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

JANUARY 5, 2023

Python has proven proficient in setting up pipelines, maintaining data flows, and transforming data with its simple syntax and proficiency in automation. Having been built completely for and in the cloud, the Snowflake Data Cloud has become an industry leader in cloud data platforms.

Python 52

Python Data Engineering Data Engineering Data Engineering 52

Alation

JUNE 21, 2022

The product concept back then went something like: In a world where enterprises have numerous sources of data, let’s make a thing that helps people find the best data asset to answer their question based on what other users were using. And to determine “best,” we’d ingest log files and leverage machine learning.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

phData

OCTOBER 11, 2024

The financial services industry is at the forefront of the data transformation era, leveraging data, analytics, and machine learning to optimize a wide range of functions. From credit card processing and insurance underwriting to retail banking, data is reshaping the way these organizations operate.

AI 52

AI AI Data Pipeline ML 52

phData

JULY 18, 2024

Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house. Expertise Here at phData, we strive to be experts in data engineering, analytics, and machine learning. Why should you choose phData to help?

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Data Engineering 52

Tableau

JUNE 8, 2021

We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models. Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Precisely

JUNE 2, 2023

Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. Innovators in the industry understand that leading-edge technologies such as AI and machine learning will be a deciding factor in the quest for competitive advantage when moving to the cloud.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

Precisely

FEBRUARY 10, 2023

Cloud Adoption Will Continue Steadily Cloud computing and its inherent scalability and elasticity offer distinct advantages, especially with respect to AI/ML and advanced analytics. As cloud data platforms and powerful analytics tools gain in popularity, the march toward the cloud continues at a rapid pace.

DataOps 52

DataOps Data Observability ML ML 52

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

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.

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.

SQL 52

SQL ML ML Python 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

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account. Use with caution, and test before committing to using them.

Clustering 98

Clustering Database SQL Data Pipeline 98

phData

OCTOBER 17, 2023

Fivetran also takes care of all the manual elements of building and maintaining a data pipeline that is not business-related so that data teams don’t have to. With these resources now freed up, data organizations can focus on higher-priority activities such as AI/LLM models.

ETL 52

ETL Data Pipeline Data Engineering Data Engineering 52

Precisely

JANUARY 18, 2024

And, they’re still a key element of the infrastructure that makes private clouds possible at many organizations. Instead of performing major surgery on their critical business systems, enterprises are opting for real-time data integration built around inherently reliable and scalable change data capture (CDC) technology.

AWS 52

AWS Artificial Intelligence Artificial Intelligence Cloud Computing 52

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Dataconomy

MAY 14, 2025

So, what exactly is AI-ready data? Simply put, AI-ready data is structured, high-quality information that can be easily used to train machine learning models and run AI applications with minimal engineering effort . an agent sees a customer struggling at checkout and can step in). in a query-ready form.

AI 70

AI AI Data Warehouse Data Pipeline 70