AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis.

Data Processing 96

Data Processing Metadata Informatics Interactive 96

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. Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? Introduction.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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 68

Data Processing Modeling Machine Learning Metadata 68

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 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

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service.

Metadata 86

Metadata Informatics Insurance Data Processing 86

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 92

Data Processing Data Warehouse Enterprise Visualization 92

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Amazon SageMaker is used to build, train, and deploy a range of ML models.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

CIO Business Intelligence

JUNE 6, 2023

Here are three examples of organizations that unlocked increased value from hybrid data models: A large African telecommunications company was able to build up its analytics once and then deploy them on whatever infrastructure was available in the specific country of the African continent. That means security, governance, and metadata.

Insurance 52

Insurance Metadata Data Processing Machine Learning 52

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. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. A brief pictorial history.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

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 85

Cost-Benefit Data-driven Machine Learning Data Warehouse 85

Ontotext

NOVEMBER 22, 2020

Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects. The Platform is able to generate the initial Semantic Objects model, which can be modified and extended by the business user without having to work directly with the underlying knowledge graphs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. Dimension-based models have been used extensively to build data warehouses.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

MARCH 30, 2023

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. Solution overview ACK lets you define and use AWS service resources directly from Kubernetes, using the Kubernetes Resource Model (KRM). We use the s3.yaml

Data-driven 74

Data-driven Metadata Testing Management 74

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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

Cloudera

NOVEMBER 13, 2017

Cloud PaaS takes this a step further and allows users to focus directly on building data pipelines, training machine learning models, developing analytics applications — all the value creation efforts, vs the infrastructure operations. Intelligent defaults and built-in logic eliminate much of the guess work.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

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

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. This feature is particularly useful if you want to externally process various files, evaluate multiple machine learning models, or extraneously process a varied amount of data based on a SQL request.

Testing 103

Testing Experimentation Management Metadata 103

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. 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. metadata=convention_df["speaker"]? ).

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Cloudera

AUGUST 21, 2020

Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Machine learning-based process optimization . E.g. HDFS ACLs, metadata authorization hooks, and dependencies that may lead to risks, exposures, failures later on. Streaming data analytics. .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

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 74

Sales Visualization Software Marketing 74

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.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data.

Reporting 89

Reporting Data Lake Management Optimization 89

AWS Big Data

APRIL 28, 2023

We have modeled this data in Amazon DynamoDB , where just-in-time provisioning ensures that only the required user group memberships are available. When the IdP is created in the previous step, an event is added in an Amazon Simple Notification Service (Amazon SNS) topic with its details, such as name and SAML metadata.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

AWS Big Data

JUNE 15, 2023

QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. To learn how to create a topic , refer to Creating Amazon QuickSight Q topics. What is the number of? Duration : How long? Date Part : When?

Sales 70

Sales Dashboards Visualization Testing 70

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). It is meant to be a desk-reference for that role for 2021.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 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