Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. It is also agnostic to where the different domains are hosted.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

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 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

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. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console.

Analytics 92

Analytics IoT Metadata Internet of Things 92

Octopai

NOVEMBER 24, 2021

If I’m a dinner host extraordinaire and actually use both sets of china, the extra resources spent moving the second one are a necessary investment. With a clear visual inventory of what you have, you can make informed decisions about what needs to be transferred to Amazon Redshift and what doesn’t. Here’s how: Simpler migration.

Data Warehouse 73

Data Warehouse Metadata Data Processing Reporting 73

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. AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. Let’s take an example.

Sales 70

Sales Visualization Software Marketing 70

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 103

Management Metadata Analytics Dashboards 103

Cloudera

SEPTEMBER 1, 2020

With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences. The application provides support for the Solr standard query language and visualization of faceted search functionality. Coordinates distribution of data and metadata, also known as shards. It is under reconstruction at the moment.

Snapshot 66

Snapshot Unstructured Data Dashboards Interactive 66

IBM Big Data Hub

MARCH 29, 2024

Instrumentation library: OTel provides an instrumentation model that runs on all platforms. Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata.

Metrics 80

Metrics Visualization Measurement Optimization 80

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

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

Laminar Security

AUGUST 23, 2023

Unlike approaches tailored to securing cloud infrastructure, cloud data security follows and defends your sensitive data wherever it goes or resides—and regardless of type—whether structured, unstructured, managed, or self-hosted. This technology uses visualization to understand which entities have access to sensitive data.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

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 80

Slice and Dice Data Warehouse Metrics Metadata 80

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. Here is how Cloudera visualizes and controls the data lifecycle. Analyze : Ingest, explore, find, access, analyze, and visualize data at any scale while delivering quick, easy self-service data analytics at the lowest cost. Let’s take it to space.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

Ontotext

MAY 18, 2020

Such problems and the complexities related to such computationally-intensive tasks are essential in the fields of weather forecasting, molecular modeling, airplane and spacecraft aerodynamics, personalized medicine, self-driving cars. The first type is metadata from images. Information source: H2020 grant for Computational Pathology ].

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Cloudera

JANUARY 21, 2021

By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model. If the data is already there, you can move on to launching data warehouse services.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

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. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. 4) Start visualizing data using business intelligence tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

Domino Data Lab

OCTOBER 9, 2019

NOAA hosts a unique concentration of the world’s climate science research throughout its labs and other centers, with experts in closely adjacent fields: polar ice, coral reef health, sunny day flooding, ocean acidification, fisheries counts, atmospheric C02, sea-level rise, ocean currents, and so on. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

AWS Big Data

JUNE 15, 2023

Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic. 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.

Sales 66

Sales Dashboards Visualization Testing 66

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.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . Limited flexibility to use more complex hosting models (e.g.,

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model.

Cost-Benefit 83

Cost-Benefit Data-driven Machine Learning Data Warehouse 83

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. smava decided to use Tableau for business intelligence, data visualization, and further analytics.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

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

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. Coding skills – SQL, Python or application familiarity – ETL & visualization?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

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. Data mapping helps standardize, visualize, and understand data across different systems and applications. Data mapping is important for several reasons.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. lemma – a root form of the word.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110