AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

Enterprise 87

Enterprise Data Warehouse Snapshot Cost-Benefit 87

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Test the feature To test this feature, run the producer DAG. Test the feature Upload the four sample text files from the local data folder to an S3 bucket data folder. Run the dynamic_task_mapping DAG.

Testing 105

Testing Experimentation Management Metadata 105

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 332

Management Machine Learning Experimentation Metrics 332

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

AWS Big Data

MARCH 13, 2024

In this model, the Lambda function is invoked for each incoming event. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. You can test this solution yourself using the AWS Samples GitHub repository. Choose Run.

Analytics 99

Analytics IoT Metadata Internet of Things 99

Rita Sallam

APRIL 2, 2023

Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts. Pattern-basis can also consist of gradual drift and shift of workload patterns and this can be built into a predictive efficiency model.

Optimization 52

Optimization Machine Learning Insurance Risk 52

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines.

Metadata 78

Metadata Data Lake Data Processing Data-driven 78

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

APRIL 25, 2023

AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. However, for quick testing purposes, we demonstrate how to manually run the flow on demand. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform.

Sales 74

Sales Visualization Software Marketing 74

AWS Big Data

OCTOBER 11, 2023

Also, a data model that allows table truncations at a regular frequency (for example, every 15 seconds) to store only relevant data in tables can cause locking and performance issues. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 109

Management Metadata Analytics Dashboards 109

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 101

Metadata Modeling Data Processing Unstructured Data 101

AWS Big Data

MARCH 19, 2024

further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search. Combining lexical and vector search improves the quality of search results by using their best features in a hybrid model. OpenSearch Service 2.11 OpenSearch Service 2.11

Data Processing 70

Data Processing Modeling Machine Learning Metadata 70

IBM Big Data Hub

APRIL 11, 2024

In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. Bolster development teams by inviting diverse, multidisciplinary teams to join them in these workshops as they assess ethics and model risk.

Risk 76

Risk Consulting Modeling Data Processing 76

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. You can choose to host your collection on a public endpoint or within a VPC.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

IBM Big Data Hub

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. IBM watsonx.ai

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

AWS Big Data

MARCH 9, 2023

The star schema is a popular data model for building data marts. Star schema and slowly changing dimension overview A star schema is the simplest type of dimensional model , in which the center of the star can have one fact table and a number of associated dimension tables. These two columns together define the validity of the record.

Slice and Dice 83

Slice and Dice Data Warehouse Metrics Metadata 83

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Alation

FEBRUARY 8, 2022

Data mesh inverts the common model of having a centralized team (such as a data engineering team), who manage and transform data for wider consumption. This stands in contrast to the de facto models of data ownership (lakes and warehouses), in which the people responsible for the data infrastructure are also responsible for serving the data.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

JANUARY 17, 2023

Great data science tools will assist data scientists and citizen data scientists in testing and training datasets for developing models, and ultimately for deploying them. Cloud-based data warehouses are hosted on the cloud and can be accessed from anywhere. An example of a data science tool is Dataiku.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

OCTOBER 7, 2021

difficulty to achieve cross-organizational governance model). Data and Metadata: Data inputs and data outputs produced based on the application logic. Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

JUNE 15, 2023

With automated data preparation in QuickSight Q, the model will do a lot of the topic setup for you, but there is some context that is specific to your business that you need to provide. Semantic types also help the model in several other ways, including mapping terms like “most expensive” or “cheapest” to Currency. Date Part : When?

Sales 69

Sales Dashboards Visualization Testing 69

bridgei2i

MARCH 3, 2021

In this episode of the AI to Impact Podcast, host Pavan Kumar speaks to Prinkan Pal about the evolution of data engineering and ML-operations from a closed team into a tech consulting unit. I’m your host – Pawan Kumar. I think, the difficult question today is integrating models into business applications and processes.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. What frameworks and operating models have you seen work well? Attendance was high, as were the number of excellent questions. Here’s an example.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Evolution of the data platform requirements smava started with a single Redshift cluster to host all three data stages.

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Decision modeling (one of my favorites). Storytelling is a nice one to use early on to test the approach.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

MARCH 31, 2023

What I Did at the Conference I had the pleasure and opportunity to present to attendees four times: An overview of our modern data and analytics strategy and operating model. I hosted 25 1-1s in between the meetings and presentations. An overview of one of our D&A Hype cycles. Products are things.

Analytics 40

Analytics Marketing Visualization Data-driven 40

Jet Global

FEBRUARY 23, 2024

Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality. Business applications use metadata and semantic rules to ensure seamless data transfer without loss. Finally, test and automate your data mapping process.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. It is organized to create a top-down model that is used for analysis and reporting.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52