ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. A quick search on the Internet provides multiple definitions by technology-leading companies such as IBM, Amazon, and Oracle.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Reverse ETL tools. Data orchestration tools. A Note on the Shift from ETL to ELT.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

An example direct acyclic graph (DAG) might automate data ingestion, processing, model training, and deployment tasks, ensuring that each step is run in the correct order and at the right time. Though it’s worth mentioning that Airflow isn’t used at runtime as is usual for extract, transform, and load (ETL) tasks.

AWS 120

AWS Machine Learning Machine Learning ML 120

AWS Machine Learning Blog

APRIL 16, 2024

These connections are used by AWS Glue crawlers, jobs, and development endpoints to access various types of data stores. You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs.

SQL 121

SQL AWS Database Data Scientist 121

Smart Data Collective

OCTOBER 17, 2022

Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses. Can’t get to the data. All of this data might be overwhelming for engineers who struggle to pull in data sets quickly enough.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

How to Learn Machine Learning

APRIL 26, 2025

Data Cleaning and Preparation The tasks of cleaning and preparing the data take place before the analysis. This includes duplicate removal, missing value treatment, variable transformation, and normalization of data.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Alation

MAY 24, 2022

The Lineage & Dataflow API is a good example enabling customers to add ETL transformation logic to the lineage graph. The Open Connector Framework SDK enables engineers to custom-build data source connectors , which are indexed by Alation. Open Data Quality Initiative.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

IBM Journey to AI blog

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

AWS Machine Learning Blog

JUNE 25, 2024

The raw data is processed by an LLM using a preconfigured user prompt. The processed output is stored in a database or data warehouse, such as Amazon Relational Database Service (Amazon RDS). The stored data is visualized in a BI dashboard using QuickSight. The LLM generates output based on the user prompt.

AWS 125

AWS Natural Language Processing Machine Learning Machine Learning 125

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Pickl AI

AUGUST 11, 2024

Consider factors such as data volume, query patterns, and hardware constraints. Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. Establish data governance policies and processes to ensure consistency in definitions, calculations, and data sources.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

AUGUST 9, 2024

Document Hierarchy Structures Maintain thorough documentation of hierarchy designs, including definitions, relationships, and data sources. Retail Industry In a retail data warehouse , hierarchies can be used to organise product categories. Avoid excessive levels that may slow down query performance.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

phData

MARCH 1, 2024

This process introduces considerable time and effort into the overall data ingestion workflow, delaying the availability of data to end consumers. Fortunately, the client has opted for Snowflake Data Cloud as their target data warehouse.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

The MLOps Blog

MARCH 15, 2023

.” Hence the very first thing to do is to make sure that the data being used is of high quality and that any errors or anomalies are detected and corrected before proceeding with ETL and data sourcing. If you aren’t aware already, let’s introduce the concept of ETL. Redshift, S3, and so on.

AWS 52

AWS ETL ML ML 52

Pickl AI

JULY 8, 2024

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

phData

AUGUST 22, 2024

Test Case 3 - Introduce SQL Syntax Error The final model was created with a WHERE clause that contains no logic, causing it to fail when executed in the data warehouse. The model appears to be part of a larger data warehouse or ETL pipeline. Once the contract is updated, the model should compile without any errors.

SQL 52

SQL Data Quality Python Data Warehouse 52

phData

JUNE 27, 2023

Data Ingestion with Fivetran Fivetran is used to move your source(s) into a centralized space for storage. Data Storage with Snowflake Snowflake is the main data warehouse, the foundation. Storing all the collected data sent from Fivetran Once in Snowflake, the data is ready to be accessed and analyzed.

SQL 52

SQL Database Data Quality Data Warehouse 52

phData

JANUARY 19, 2024

To use it, first create a secret for your token in the project you started by navigating to the Secret definitions page before going into the branch you’ll be working on. Aside from that, you will choose where the data will be stored in your data warehouse and the staging location.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. ” 1.

DataOps 52

DataOps SQL ML ML 52

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. The existing Data Catalog becomes the Default catalog (identified by the AWS account number) and is readily available in SageMaker Lakehouse.

SQL 140

SQL Data Analyst Data Warehouse AWS 140

phData

SEPTEMBER 27, 2024

If the event log is your customer’s diary, think of persistent staging as their scrapbook – a place where raw customer data is collected, organized, and kept for future reference. In traditional ETL (Extract, Transform, Load) processes in CDPs, staging areas were often temporary holding pens for data.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52