Alation

MAY 24, 2022

The Lineage & Dataflow API is a good example enabling customers to add ETL transformation logic to the lineage graph. In Alation, lineage provides added advantages of being able to add data flow objects, such as ETL transformations, perform impact analysis, and manually edit lineage. Book a demo today. The post Alation 2022.2:

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

phData

MARCH 1, 2024

As you can see in the above demo, it is incredibly simple to use INFER_SCHEMA and SCHEMA EVOLUTION features to speed up data ingestion into Snowflake. There’s no need for developers or analysts to manually adjust table schemas or modify ETL (Extract, Transform, Load) processes whenever the source data structure changes.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Alation

FEBRUARY 7, 2023

There was a software product demo showcasing its ability to scan every layer of your application code, and I was intrigued to see how it worked. The developers spent time looking for a tool that could scan all the SQL code and Microsoft SSIS packages because that was the ETL tool being used. Twenty years ago, I saw into the future.

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Data Warehouse ETL Business Intelligence Business Intelligence 52

ODSC - Open Data Science

APRIL 6, 2023

These are used to extract, transform, and load (ETL) data between different systems. Data integration tools allow for the combining of data from multiple sources. The most popular of these tools are Talend, Informatica, and Apache NiFi.

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SQL Data Scientist Database Data Science 98

DataRobot

JUNE 4, 2021

Powered by Snowflake’s data-sharing technology, data from the Snowflake Data Marketplace allows users to query data instantaneously without additional ETL processing steps. Request a Demo. The process is simple, and if you have a Snowflake account, getting data from the Snowflake Data Marketplace involves only a few clicks.

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Machine Learning Machine Learning Algorithm ETL 52

IBM Journey to AI blog

JUNE 29, 2023

These tools enable the extraction, transformation, and loading (ETL) of data from various sources. Request a live demo The post What is Integrated Business Planning (IBP)? Data integration and automation To ensure seamless data integration, organizations need to invest in data integration and automation tools.

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Analytics Analytics Business Intelligence Business Intelligence 94

Alation

JUNE 23, 2023

In this session , Sarah Pollitt, the group product manager for ETL at Matillion, will delve into the capabilities of Matillion for loading data from renowned sources like Salesforce, SAP, and a wide range of prebuilt connectors into your data lakehouse. Join us at Summit!

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AI AI ETL Data Quality 52

IBM Journey to AI blog

SEPTEMBER 25, 2023

As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. Request a live demo here to see Presto and watsonx.data in action Try watsonx.data for free 1 Uber. EMA Technical Case Study, sponsored by Ahana.

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Data Lakes Analytics Analytics Clustering 102

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Get your ODSC East 2023 Bootcamp ticket while tickets are 40% off!

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Precisely

MAY 31, 2023

Watch our demo Innovations in Data Integrity See the new Data Integrity Suite capabilities that support your end-to-end needs for data that is accurate, consistent, and filled with context. Cumbersome batch ETL processes left users waiting for the information they needed. In many cases, data arrived too late to be useful.

Data Quality 52

Data Quality Data Governance Data Observability ETL 52

Alation

OCTOBER 19, 2021

Creating a sustainable data culture means efficiently and accurately integrating data to help prevent future silos, either through the use of scripting or Extract, Transform and Load (ETL) tools. ??Using Sign up for our weekly demo to learn more about how a data catalog can help drive data culture through seamless collaboration.

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Data Silos ETL Data Governance Cloud Data 52

phData

APRIL 18, 2024

Confluent offers a cloud version of Kafka, but for this demo, we will use the local version using a docker setup. At phData , our team of highly skilled data engineers specializes in ETL/ELT processes across various cloud environments. However, there are still limitations based on the complexity of the data.

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Clustering Data Engineering Data Engineer Data Engineering 52

The MLOps Blog

MARCH 28, 2023

MLOps maturity levels at Brainly MLOps level 0: Demo app When the experiments yielded promising results, they would immediately deploy the models to internal clients. Based on the demo app results, our clients and stakeholders decide whether or not to push a specific use case into advanced maturity levels. They integrate with neptune.ai

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process. The ETL process involves extracting data from source systems, transforming it into a suitable format or structure, and loading it into a data warehouse or target system for analysis and reporting.

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Data Analyst Data Analysis Data Analysis Machine Learning 52

phData

NOVEMBER 30, 2023

We can then give you a demo, learn more about your monitoring needs, and help you to deploy or customize a solution for your organization. Tasks can be used to automate data processing workflows, such as ETL jobs, data ingestion, and data transformation. SQL commands allow users to create, modify, suspend, resume, and drop tasks.

SQL 52

SQL Cloud Data Database ETL 52

phData

AUGUST 22, 2024

I used a demo project that I frequently work with and introduced syntax errors and data quality problems. The model is written in a way that it references a table named sat_product_details using the {{ ref(‘ sat_product_details ‘) }} syntax, which suggests that this model is part of a data warehouse or ETL pipeline.

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SQL Data Quality Python Data Warehouse 52

The MLOps Blog

OCTOBER 20, 2023

Łukasz Grad, Chief Data Scientist at ReSpo.Vision See in app Full screen preview Full case study with Respo.Vision Read more about collaboration features Watch a technical product demo [20min] Embracing effective Jupyter notebook practices In this article, we’ve discussed best practices and advice for optimizing the utility of Jupyter notebooks.

SQL 52

SQL Database Data Scientist Python 52

phData

JUNE 7, 2023

This often involves skills in databases, distributed systems, and ETL (Extract, Transform, Load) processes. A healthy balance of optimism and skepticism is vital as you move forward in AI, and the best way to avoid confirmation bias is to look for content and experiments that will both confirm and deny your existing assumptions.

AI 59

AI AI Machine Learning Machine Learning 59

Alation

APRIL 14, 2023

Fivetran , the leader in cloud data integration and pioneer in the ETL space, not only coined the phrase “modern data stack” with the company’s conception 11 years ago, but has since grown to become an indispensable piece of that stack – as well as a trusted partner to Alation.

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Data Pipeline Data Warehouse Cloud Data ETL 52

ODSC - Open Data Science

MARCH 20, 2025

30% Off ODSC East, Fan-Favorite Speakers, Foundation Models for Times Series, and ETL Pipeline Orchestration The ODSC East 2025 Schedule isLIVE! Between an Expo & Demo Hall, amazing keynote speakers, and networking events, heres a rundown of everything you can do with a free ODSC East ExpoPass. Register by Friday for 30%off.

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ETL Data Science Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 18, 2025

An Amazon EventBridge schedule checked this bucket hourly for new files and triggered log transformation extract, transform, and load (ETL) pipelines built using AWS Glue and Apache Spark. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.

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