AWS Big Data

DECEMBER 23, 2024

Real-time data streaming and event processing are critical components of modern distributed systems architectures. Apache Kafka has emerged as a leading platform for building real-time data pipelines and enabling asynchronous communication between microservices and applications.

Data-driven 84

Data-driven Management Risk Big Data 84

CIO Business Intelligence

APRIL 25, 2024

For example, a partner like The Weather Company could offer a third-party Data Kit of real-time weather data with zero-copy support. An insurance company could procure that data set to support a gen AI application that generates email alerts for customers about an impending weather event.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

OCTOBER 29, 2024

AI-native solutions have been developed that can track the provenance of data and the identities of those working with it. Advanced anomaly detection systems can identify unusual patterns in data access or modification, flag potential security breaches, or locate data contamination events in real-time.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

Data Virtualization

OCTOBER 27, 2023

Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka. Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

AWS Big Data

NOVEMBER 11, 2024

OpenSearch Service seamlessly integrates with other AWS offerings, providing a robust solution for building scalable and resilient search and analytics applications in the cloud. In the event of data loss or system failure, these snapshots will be used to restore the domain to a specific point in time.

Snapshot 101

Snapshot Strategy Dashboards Data Lake 101

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

In(tegrate) the Clouds

JUNE 23, 2016

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses.

Data Integration 49

Data Integration Data Lake Data Warehouse Data-driven 49

O'Reilly on Data

OCTOBER 11, 2022

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Data needs to become the means, a tool for making good decisions.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

David Menninger's Analyst Perspectives

MAY 9, 2024

Our team has also described how AI can help enterprises improve customer experiences , transform human capital management , improve marketing and sales effectiveness , enhance data integration processes and drive automation for enhanced efficiency.

Finance 130

Finance Sales Data Integration Marketing 130

Cloudera

DECEMBER 4, 2024

introduces features to enhance developer productivity and streamline data pipeline development: Parameter Groups: Simplify flow management and promote reusability by grouping parameters and applying them across multiple flows. empowers data engineers to build and deploy data pipelines faster, accelerating time-to-value for the business.

Metrics 93

Metrics Data Integration Management Modeling 93

AWS Big Data

JANUARY 9, 2025

Simplified data corrections and updates Iceberg enhances data management for quants in capital markets through its robust insert, delete, and update capabilities. These features allow efficient data corrections, gap-filling in time series, and historical data updates without disrupting ongoing analyses or compromising data integrity.

Metadata 108

Metadata Snapshot Cost-Benefit Optimization 108

DataKitchen

OCTOBER 20, 2023

’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event. By offering real-time tracking mechanisms and sending targeted alerts to specific consumers, a Payload DJ can immediately notify them of any changes, delays, or issues affecting their data.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

Rocket-Powered Data Science

JULY 6, 2021

Labels are curated and stored with the content, thus enabling curation, cataloguing (indexing), search, delivery, orchestration, and use of content and data in AI applications, including knowledge-driven decision-making and autonomous operations. Collect, curate, and catalog (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 111

IT Visualization Machine Learning Data Integration 111

David Menninger's Analyst Perspectives

OCTOBER 5, 2018

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event , the focus was largely on machine learning and artificial intelligence (AI). But there was no particular vendor or technology dominating the event.

Marketing 140

Marketing Machine Learning Technology Management 140

AWS Big Data

JANUARY 15, 2025

While real-time data is processed by other applications, this setup maintains high-performance analytics without the expense of continuous processing. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 103

IoT Machine Learning Metadata Data-driven 103

AWS Big Data

APRIL 17, 2024

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

Optimization 126

Optimization Snapshot Metadata Cost-Benefit 126

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.

Data Integration 110

Data Integration Software Data-driven Big Data 110

Cloudera

FEBRUARY 10, 2022

Solving Common Data Integration Use Cases with CDF-PC on Azure. CDF-PC helps Azure customers implement key data integration use cases that require data movement, filtering and transformation at scale. Figure 2: Moving application log data from Azure Event Hub to ADLS Gen2 and SIEM systems.

KPI 116

KPI Optimization Data Integration Management 116

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. You will load the event data from the SFTP site, join it to the venue data stored on Amazon S3, apply transformations, and store the data in Amazon S3.

Data Processing 102

Data Processing Visualization Data Lake Data Processing 102

AWS Big Data

FEBRUARY 6, 2025

Fostering data integrity and system reliability requires effective strategies to tackle failures while maintaining high performance. This OutputTag is a typed and named identifier you can use to separately manage and direct specific events, such as invalid ones, to a distinct stream for further handling.

Strategy 60

Strategy Management Testing Software 60

CIO Business Intelligence

MARCH 28, 2024

The new capabilities, which include incremental feature additions to its Text Enhance offering and two new connectors for its analytics warehouse and point of sale (POS) offerings, were announced on Thursday at the company’s SuiteConnect event in New York. The company has not said when the updates to Text Enhance will become available.

Snapshot 105

Snapshot Sales Finance Enterprise 105

AWS Big Data

JULY 2, 2024

It also provides timely refreshes of data in your data warehouse. AWS DMS publishes the replicationtaskstopped event to EventBridge when the replication task is complete, which invokes an EventBridge rule. EventBridge routes the event to a Step Functions state machine. For Rule type , choose Rule with an event pattern.

Data Warehouse 105

Data Warehouse Sales Testing Big Data 105

AWS Big Data

DECEMBER 20, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. New log events are written into the new log group. By choosing Run query , you can view the actual log events on the Logs Insights page.

Cost-Benefit 114

Cost-Benefit Optimization Big Data Data Integration 114

AWS Big Data

OCTOBER 11, 2024

It covers the essential steps for taking snapshots of your data, implementing safe transfer across different AWS Regions and accounts, and restoring them in a new domain. This guide is designed to help you maintain data integrity and continuity while navigating complex multi-Region and multi-account environments in OpenSearch Service.

Snapshot 100

Snapshot Dashboards Management Testing 100

Smart Data Collective

JULY 20, 2021

Top Big Data CRM Integration Tools in 2021: #1 MuleSoft: Mulesoft is a data integration platform owned by Salesforce to accelerate digital customer transformations. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Big Data 142

Big Data Sales Marketing Software 142

Smart Data Collective

OCTOBER 13, 2021

Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration? In forecasting future events.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Smart Data Collective

FEBRUARY 14, 2023

Data integrity control. Creation and control of event funnels. The analyst’s task is to analyze in-game events and track their success/popularity based on the indicators of emotions and monetization. Gaming data analytics should constantly be looking for project improvements.

Big Data 134

Big Data Data Analytics Analytics Testing 134

DataKitchen

NOVEMBER 18, 2021

We talk about systemic change, and it certainly helps to have the support of management, but data engineers should not underestimate the power of the keyboard. Data pipelines have enough automated tests to catch errors, and error events are tied to end-to-end observability frameworks. Don’t be a hero; make heroism a rare event.

Testing 246

Testing Data Governance Measurement Software 246

AWS Big Data

JANUARY 30, 2025

We used the AWS Step Function state machines to define, orchestrate, and execute our data pipelines. Amazon EventBridge We used Amazon EventBridge, the serverless event bus service, to define the event-based rules and schedules that would trigger our AWS Step Functions state machines.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 113

Metadata Dashboards Metrics Visualization 113

DataKitchen

OCTOBER 25, 2022

The journey tracks all levels of the stack from data to tools to code to tests across all critical dimensions. It supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics. If the first is late finishing, there are problems.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

NOVEMBER 20, 2023

In AWS, hundreds of thousands of customers use AWS Glue , a serverless data integration service, to discover, combine, and prepare data for analytics and machine learning. Prerequisites Complete the following prerequisite steps: Enable Spark UI event logs for your job runs.

Visualization 103

Visualization Optimization Data Lake Management 103

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Time Series and Event Analytics Specialized RTDW.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97