Domino Data Lab

APRIL 17, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Software Architecture” chapter from the book, Machine in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Figure 17.1

Machine Learning 87

Machine Learning Software Cost-Benefit Interactive 87

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. To incorporate this third-party data, AWS Data Exchange is the logical choice.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

DECEMBER 16, 2024

This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives. For Host , enter your host name of your Aurora PostgreSQL database cluster. To learn more, refer to Amazon SageMaker Unified Studio.

Visualization 92

Visualization Data Processing Testing Publishing 92

datapine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. The device mesh refers to an expanding set of endpoints people use to access applications and information.

Technology 279

Technology Internet of Things IT IoT 279

AWS Big Data

FEBRUARY 7, 2025

You can use the flexible connector framework and search flow pipelines in OpenSearch to connect to models hosted by DeepSeek, Cohere, and OpenAI, as well as models hosted on Amazon Bedrock and SageMaker. The connector is an OpenSearch construct that tells OpenSearch how to connect to an external model host.

Data Processing 69

Data Processing Dashboards Modeling Statistics 69

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. For more information on the choice of index algorithm, refer to Choose the k-NN algorithm for your billion-scale use case with OpenSearch.

Data Processing 132

Data Processing Dashboards Machine Learning Metrics 132

datapine

MARCH 25, 2019

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. KPIs are critical to both data analysis methods in qualitative research and data analysis methods in quantitative research. Build a data management roadmap.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. AI and machine learning & Cloud-based solutions may drive future outlook for data warehousing market.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

datapine

SEPTEMBER 27, 2022

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. Here is an excerpt from one: “I use SQL daily, and this was a great reference towards using advanced SQL to get analytics insights.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

SEPTEMBER 19, 2022

Machine learning technology has become invaluable in many facets of the IT sector. A study by Markets and Markets shows that the market for machine learning technology is growing over 44% a year. One of the biggest factors driving the demand for machine learning technology is a growing need for cybersecurity solutions.

Machine Learning 119

Machine Learning Risk Technology Data Processing 119

AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. Scheduling a job is sometimes referred to as deploying a project.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

AWS Big Data

MARCH 6, 2025

Refer to IAM Identity Center identity source tutorials for the IdP setup. Generate the client secret and set sign-in redirect URL and sign-out URL to [link] (we will host the Streamlit application locally on port 8501). For more details, refer to Creating a workgroup with a namespace. IAM Identity Center enabled.

Visualization 102

Visualization Sales Data Warehouse Management 102

AWS Big Data

MARCH 8, 2024

Unsupervised machine learning analytics has emerged as a powerful tool for anomaly detection in today’s data-rich landscape, especially with the growing volume of machine-generated data. For hosts , specify the endpoint of the collection that you created. For an overview of expenses, refer to Amazon OpenSearch Ingestion.

Data Processing 119

Data Processing Risk Management Machine Learning Big Data 119

AWS Big Data

JANUARY 17, 2024

OpenSearch Service has supported both lexical and vector search since the introduction of its k-nearest neighbor (k-NN) feature in 2020; however, configuring semantic search required building a framework to integrate machine learning (ML) models to ingest and search. For more information, refer to Introduction to OpenSearch Models.

Dashboards 116

Dashboards Data Processing Modeling Machine Learning 116

AWS Big Data

FEBRUARY 7, 2024

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone.

Dashboards 110

Dashboards Data Processing Metadata Consulting 110

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Black Hat Hackers Exploit Machine Learning to Avoid Detection. This is largely because of their knowledge of machine learning. Big data is the lynchpin of new advances in cybersecurity.

Big Data 108

Big Data Machine Learning Data Processing Predictive Analytics 108

Jen Stirrup

OCTOBER 13, 2024

If organisations want AI and Machine Learning, then they will need to look after their data and their business. In fact, 73% of all new data will be stored in the cloud, as research shown by BCG shows ( Reference ). What does this mean for AI and Machine Learning? This is where cyber resilience comes in.

Machine Learning 52

Machine Learning Strategy Risk Enterprise 52

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. For more information, refer to Guidance for Distributed Computing with Cross Regional Dask on AWS and the GitHub repo for open-source code. These datasets are distributed across the world and hosted for public use.

Data Processing 122

Data Processing Metadata Informatics Interactive 122

CIO Business Intelligence

OCTOBER 24, 2023

But adding these new capabilities to your tech stack comes with a host of security risks. Understanding GenAI and security GenAI refers to the next evolution of AI technologies: ones that learn from massive amounts of data how to generate new code, text, and images from conversational interfaces.

Risk 126

Risk Recreation/Entertainment Data Collection Data Processing 126

Smart Data Collective

DECEMBER 23, 2022

Businesses can also leverage big data to support machine learning by training AI and sophisticated models. Data storage on local hardware, such as servers, PCs, or other devices, is referred to as “on-premises storage.” These centers may be private or shared servers located on off-site third-party hosting platforms.

Big Data 130

Big Data Cost-Benefit Data Processing Risk 130

AWS Big Data

AUGUST 19, 2024

By using AWS Glue to integrate data from Snowflake, Amazon S3, and SaaS applications, organizations can unlock new opportunities in generative artificial intelligence (AI) , machine learning (ML) , business intelligence (BI) , and self-service analytics or feed data to underlying applications. Choose Create connection. Choose Next.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

Smart Data Collective

JUNE 25, 2019

Brands are using a host of innovative measures to get inside the heads of their target consumers. This tool relies heavily on machine learning to get the most of any audience targeting campaign. Most people agree that big data is a marketing buzzword that refers to information your site visitors and customer leave behind.

Big Data 99

Big Data Strategy Data Processing Data mining 99

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. I’ve heard it referred to as the lattice. AI and machine learning are mature today.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

JUNE 26, 2024

Stanford Medicine Children’s Health, the University of Miami Health System, and Atlantic Health have all moved forward with projects in the areas of precision medicine, machine learning, ambient documentation, and more. Because the algorithm requires considerable processing resources, the team decided to host it in the cloud.

Data Processing 134

Data Processing Interactive Machine Learning Technology 134

CIO Business Intelligence

JANUARY 20, 2023

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. It uses data mining , data modeling, and machine learning to answer why something happened and predict what might happen in the future.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. Cloudera Machine Learning Public or Private Cloud.

Cost-Benefit 84

Cost-Benefit Machine Learning Enterprise Data Processing 84

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. To learn more, refer to Byte-quantized vectors in OpenSearch. The following screenshot shows an example of using the Compare Search Results tool.

Visualization 119

Visualization Cost-Benefit Modeling Machine Learning 119

AWS Big Data

MAY 7, 2024

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. If you’d like to learn more about other workflows in this solution, please refer to the implementation guide.

Metadata 107

Metadata Data Lake Data Processing Data-driven 107

AWS Big Data

MAY 28, 2024

You can achieve this by using Kinesis Data Streams and Amazon Personalize , a fully managed machine learning (ML) service that generates product and content recommendations for your users, instead of building your own recommendation engine from scratch. AWS IoT Core can stream ingested data into Kinesis Data Streams.

IoT 115

IoT Analytics Dashboards Data-driven 115

IBM Big Data Hub

NOVEMBER 13, 2023

Kubernetes, also referred to as K8s, was specifically created to address these challenges by automating the management of containerized applications. Kubernetes can also run on bare metal servers and virtual machines (VMs) in private cloud, hybrid cloud and edge settings, provided the host OS is a version of Linux or Windows.

Machine Learning 107

Machine Learning Data-driven Software Testing 107

AWS Big Data

JUNE 10, 2024

For detailed information on managing your Apache Hive metastore using Lake Formation permissions, refer to Query your Apache Hive metastore with AWS Lake Formation permissions. The producer account will host the EMR cluster and S3 buckets. The catalog account will host Lake Formation and AWS Glue. VPC with the CIDR 10.0.0.0/16.

Data Lake 116

Data Lake Metadata Data Warehouse Data Processing 116

Cloudera

MAY 3, 2024

With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications. This allows for seamless transitions, whether you’re running examples locally or deploying processes automatically in Cloudera Machine Learning. Best of all, every AMP is fully open source.

Data Processing 71

Data Processing Machine Learning Enterprise Risk 71

Cloudera

SEPTEMBER 21, 2021

conn-host '<CDE_JOBS_API_ENDPOINT>'. conn-host '<CDE_JOBS_API_ENDPOINT>'. conn-host '<HOSTNAME(base hostname of the JDBC URL that can be copied from the CDW UI, without port and protocol)>'. The connection_id ‘ cde ’ references the connection you defined in step 3. x: airflow connections add 'cde'.

Data Processing 99

Data Processing Testing Machine Learning Management 99

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. python==3.10.8

Testing 130

Testing Experimentation Management Metadata 130

AWS Big Data

JULY 18, 2023

For more details on the permissions policies needed to access the Apache Airflow UI, refer to Apache Airflow UI access policy: AmazonMWAAWebServerAccess. The setup process will create a new VPC with subnets hosting the ALB and the listener. For additional code examples on Amazon MWAA, refer to Amazon MWAA code examples.

Data Processing 97

Data Processing Management Software Machine Learning 97

AWS Big Data

JUNE 18, 2024

In addition, OpenSearch Service supports neural search , which provides out-of-the-box machine learning (ML) connectors. Note that you need to refer to the Jupyter Notebook in the GitHub repository to run the following steps using Python code in your client environment. OpenSearch version is 2.13

Dashboards 119

Dashboards Metadata Modeling Visualization 119