AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 117

Management Metadata Analytics Dashboards 117

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). This solution uses distance-based filtering to reduce costs and jitter.

Analytics 109

Analytics IoT Metadata Internet of Things 109

AWS Big Data

SEPTEMBER 13, 2024

Although we explored the option of using AWS managed notebooks to streamline the provisioning process, we have decided to continue hosting these components on our on-premises infrastructure for the current timeline. At this stage, CFM data scientists can perform analytics and extract value from raw data.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

AWS Big Data

JULY 26, 2023

Solution overview Typically, you have multiple accounts to manage and provision resources for your data pipeline. At the time of publishing of this post, the AWS CDK has two versions of the AWS Glue module: @aws-cdk/aws-glue and @aws-cdk/aws-glue-alpha , containing L1 constructs and L2 constructs , respectively.

Data Integration 79

Data Integration Snapshot Testing Visualization 79

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring. Platform architects define a well-architected platform.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. Let’s take an example. The marketing team created leads based on the event in Adobe Marketo.

Sales 78

Sales Visualization Software Metadata 78

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

IBM Big Data Hub

JULY 17, 2023

It uses not just open-source technologies, but those with open governance and broad and diverse communities of users and contributors, like Apache Iceberg and Presto which is hosted by the Linux Foundation. 1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Sisense

APRIL 10, 2020

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery. The OpenSearch ingestion pipeline, named serverless-ingestion.

Dashboards 72

Dashboards Testing Metrics Optimization 72

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

AUGUST 24, 2023

This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation. Simplify Data Integration: Angles for Oracle offers data transformation and cleansing features that allow finance teams to clean, standardize, and format data as needed.

Finance 52

Finance Reporting Data Integration Data Warehouse 52

Jet Global

MAY 1, 2023

Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization. Data Transformation and Enrichment Data can be enriched for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

JANUARY 10, 2025

Differences between Tableau Desktop and Tableau Server certification Certifications for Tableau skills are available both for business professionals who analyze data using the platforms Tableau Desktop front end, and for IT pros charged with administering Tableau Server, either on prem or self-hosting in a public cloud.

Data Analytics 105

Data Analytics Analytics Consulting Visualization 105