datapine

DECEMBER 11, 2019

Flexibility in payment models, where they only pay for the resource usage they need, for instance, is attractive for many organizations in today’s competitive world. The growing need for API connections. 3) The Growing Need For API Connections. At first, SaaS providers didn’t come with a complete integration solution.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

DECEMBER 5, 2024

By integrating and refining data through these modern solutions, insurers can enhance the accuracy of risk assessments, reduce claims payout time by over 50%, and boost operational efficiency by more than 30%. Integrating advanced technologies like genAI often requires extensively reengineering existing systems.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

AWS Big Data

OCTOBER 11, 2024

Snapshots play a critical role in providing the availability, integrity and ability to recover data in OpenSearch Service domains. This guide is designed to help you maintain data integrity and continuity while navigating complex multi-Region and multi-account environments in OpenSearch Service. Add a bucket policy.

Snapshot 107

Snapshot Dashboards Management Testing 107

O'Reilly on Data

MAY 14, 2020

The product manager for the research phase understands that AI Research products are first and foremost products, and therefore develops all of the necessary tools, structure, relationships, and resources needed to be successful. Finally, integrating AI products into business tech stacks (especially in enterprises) is nontrivial.

Management 364

Management Experimentation B2B Machine Learning 364

AWS Big Data

DECEMBER 10, 2024

Although the integration with AWS IAM Identity Center is the recommended approach, this post focuses on setups where IAM Identity Center might not be applicable due to compliance constraints, such as organizations requiring FedRAMP Moderate compliance, which IAM Identity Center doesnt yet meet. Choose Create a resource.

Sales 102

Sales Metadata Enterprise Testing 102

CIO Business Intelligence

JANUARY 9, 2025

What began with chatbots and simple automation tools is developing into something far more powerful AI systems that are deeply integrated into software architectures and influence everything from backend processes to user interfaces. An important aspect of this democratization is the availability of LLMs via easy-to-use APIs.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

O'Reilly on Data

NOVEMBER 28, 2023

Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). We suspect that many API services are being offered as loss leaders—that the major providers have intentionally set prices low to buy market share.

Enterprise 342

Enterprise Testing Modeling Reporting 342

AWS Big Data

NOVEMBER 19, 2024

For each user query, an API is invoked on Amazon API Gateway to process the request. The API is integrated with AWS Lambda , which processes the user query and generates the answers based on available documents and user access using retrieval augmented generation (RAG).

Management 98

Management Metadata Manufacturing Testing 98

Rocket-Powered Data Science

MARCH 20, 2023

SAP Datasphere has arrived to address those pain points, by enabling discovery, access, and integration of the heterogeneous data distributed across the enterprise. Datasphere manages and integrates structured, semi-structured, and unstructured data types. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight. It comprises distinct AWS account types, each serving a specific purpose.

Data Lake 100

Data Lake Sales Metadata Machine Learning 100

Cloudera

DECEMBER 4, 2024

It is a powerful deployment environment that enables you to integrate and deploy generative AI (GenAI) and predictive models into your production environments, incorporating Cloudera’s enterprise-grade security, privacy, and data governance. This is where the Cloudera AI Inference service comes in. We also outlined many of its capabilities.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

AWS Big Data

DECEMBER 16, 2024

The need to integrate diverse data sources has grown exponentially, but there are several common challenges when integrating and analyzing data from multiple sources, services, and applications. First, you need to create and maintain independent connections to the same data source for different services.

Visualization 82

Visualization Data Processing Testing Publishing 82

AWS Big Data

NOVEMBER 27, 2024

Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics.

Data Warehouse 104

Data Warehouse Analytics Testing Modeling 104

AWS Big Data

NOVEMBER 22, 2024

Spark Upgrades addresses four key areas of changes: Spark SQL API methods and functions Spark DataFrame API methods and operations Python language updates (including module deprecations and syntax changes) Spark SQL and Core configuration settings The complexity of these upgrades becomes evident when you consider migrating from Spark 2.4.3

Cost-Benefit 103

Cost-Benefit Data-driven Software Testing 103

AWS Big Data

DECEMBER 18, 2024

In the rapidly evolving landscape of AI-powered search, organizations are looking to integrate large language models (LLMs) and embedding models with Amazon OpenSearch Service. Now through a single Rerank API call in Amazon Bedrock, you can integrate Rerank into existing systems at scale. How to integrate Cohere Rerank 3.5

Metrics 87

Metrics Modeling Data Processing Machine Learning 87

AWS Big Data

DECEMBER 17, 2024

This allows your teams to flexibly scale write workloads such as extract, transform, and load (ETL) and data processing by adding compute resources of different types and sizes based on individual workloads price-performance requirements, as well as securely collaborate with other teams on live data for use cases such as customer 360.

Data Lake 92

Data Lake Data Warehouse Data-driven Optimization 92

AWS Big Data

OCTOBER 21, 2024

It provides data catalog, automated crawlers, and visual job creation to streamline data integration across various data sources and targets. It is a data marketplace featuring over 300 providers offering thousands of datasets accessible through files, Amazon Redshift tables, and APIs. AWS Glue is used for this integration.

Sales 113

Sales Data-driven Data Processing Key Performance Indicator 113

O'Reilly on Data

OCTOBER 11, 2022

Automating routine office tasks is an important and worthwhile project–and redesigning routine tasks so that they can be integrated into a larger workflow that can be automated more effectively is even more important. So from the start, we have a data integration problem compounded with a compliance problem.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

Rocket-Powered Data Science

FEBRUARY 15, 2023

Second, doing something new (especially something “big” and disruptive) must align with your business objectives – otherwise, you may be steering your business into deep uncharted waters that you haven’t the resources and talent to navigate. Remember to Keep it Simple and Smart (the “KISS” principle ).

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

DECEMBER 4, 2024

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. However, this task is complicated by the unique characteristics of modern systems, such as differing API protocols, implementations, and rate limits.

Data Integration 108

Data Integration Data Lake Statistics Data-driven 108

AWS Big Data

OCTOBER 24, 2024

The following diagram illustrates solution architecture, which manages stored objects using a continuous integration and delivery (CI/CD) pipeline. Jenkins runs an OpenSearch Service API to deploy changes. A new commit invokes a build job in Jenkins. Jenkins retrieves JSON files from the GitHub repository and performs validation.

Visualization 101

Visualization Management Data Processing Testing 101

Smart Data Collective

MARCH 2, 2022

Serverless can also bring cost reductions, as users only pay for the resources used. Each worker node has an agent called kubelet that connects it to the Kubernetes API. Kubectl also uses PodSpecs to manage the underlying pods whenever a kubelet is running on a server and connected to K8s API. Kubernetes without Nodes?

Cost-Benefit 145

Cost-Benefit Data Science Interactive Management 145

O'Reilly on Data

SEPTEMBER 11, 2018

That’s great to have because you can use that storage platform to build a data fabric that extends from your on-premises systems into multiple cloud systems to get access to data at a performance level and with an API that you want. Most of the work so far in Kubernetes involves the use of file system APIs.

Big Data 233

Big Data Data Processing Statistics Management 233

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. The training jobs use Cloudera’s Workbench compute resources, and users can track the performance of a training job within the UI.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

Cloudera

JULY 13, 2021

Native Apache Airflow and robust APIs for orchestrating and automating job scheduling and delivering complex data pipelines anywhere. Resource isolation and centralized GUI-based job management. CDP data lifecycle integration and SDX security and governance. Automation APIs. Flexible orchestration with Apache Airflow.

Enterprise 127

Enterprise Visualization Testing Management 127

AWS Big Data

NOVEMBER 11, 2024

You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. OpenSearch Ingestion integrates with many AWS services, and provides ready-made blueprints to accelerate ingesting data for a variety of analytics use cases into OpenSearch Service domains.

Metadata 118

Metadata Metrics Analytics Data Processing 118

AWS Big Data

MAY 31, 2024

This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. API Gateway forwards all requests to the Lambda function to serve up the requests.

Metadata 127

Metadata Data-driven Management Testing 127

AWS Big Data

OCTOBER 12, 2023

You can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application, and you only pay for what you use.

Big Data 128

Big Data Data-driven Management Visualization 128

AWS Big Data

NOVEMBER 6, 2024

Kinesis Data Streams not only offers the flexibility to use many out-of-box integrations to process the data published to the streams, but also provides the capability to build custom stream processing applications that can be deployed on your compute fleet. This allows you to process the same data with fewer compute resources.

Cost-Benefit 114

Cost-Benefit Metadata Optimization Publishing 114

IBM Big Data Hub

NOVEMBER 6, 2023

However, digital infrastructures are highly dependent on application programming interfaces — or APIs — to facilitate data transfers between software applications and between applications and end users. As the backend framework for most web and mobile apps, APIs are internet-facing and therefore vulnerable to attacks.

Optimization 113

Optimization Testing Software Risk 113

AWS Big Data

MAY 16, 2024

First, the Airflow REST API support enables programmatic interaction with Airflow resources like connections, Directed Acyclic Graphs (DAGs), DAGRuns, and Task instances. The introduction of REST API support in Amazon MWAA addresses this need, providing a standardized way to access and manage your Airflow environment.

Testing 114

Testing Metrics Interactive Management 114

AWS Big Data

DECEMBER 19, 2024

Invoke a Lambda function as the target for the EventBridge rule and pass the event payload to it: The Lambda function does 2 things: Fetches the asset details, including the Amazon Resource Name (ARN) of the S3 published asset and the IAM role ARN from the subscription target.

Publishing 89

Publishing Unstructured Data Metadata Data-driven 89

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. MuleSoft, acquired by Salesforce in 2018 for $5.7

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

CIO Business Intelligence

FEBRUARY 6, 2025

The new AI capabilities include the Prompt Management API , the CPQ AI Assistant, the NetSuite Expert for SuiteAnswers, and a text enhancer for custom fields, and come with no additional cost, the company said.

Enterprise 52

Enterprise Data Warehouse Sales Optimization 52

AWS Big Data

SEPTEMBER 28, 2023

If the use case is well defined and directly maps to one event bus, such as event streaming and analytics with streaming events (Kafka) or application integration with simplified and consistent event filtering, transformation, and routing on discrete events (EventBridge), the decision for a particular broker technology is straightforward.

Data-driven 138

Data-driven Metrics Publishing Management 138

AWS Big Data

SEPTEMBER 3, 2024

Data volume can increase significantly over time, and it often requires concurrent consumption of large compute resources. Data integration workloads can become increasingly concurrent as more and more applications demand access to data at the same time. It simplifies your daily operation and reduces latency for the retries.

Data Integration 118

Data Integration Software Data-driven Big Data 118

CIO Business Intelligence

FEBRUARY 7, 2024

Most companies have transitioned to become more software-centric, and with this transformation, application programming interfaces (APIs) have proliferated. If companies want to input, leverage, and embed these digital brains into their business, they’ll need an API to connect the LLM to various business applications,” he says.

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124