AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

AWS Big Data

JUNE 21, 2023

Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes.

Management 80

Management Metrics Data Processing Machine Learning 80

CIO Business Intelligence

JULY 29, 2022

Zarraga, who had a clear picture of Capital Group’s commitment to its employees as early as her interview process before joining the firm, attributes Capital Group’s success with employee satisfaction in significant measure to its focus on career growth. The bootcamp broadened my understanding of key concepts in data engineering.

Data Lake 98

Data Lake Software Data Processing Structured Data 98

Alation

MAY 16, 2023

Data Storage The data storage component of a pipeline provides secure, scalable storage for the data. Various data storage methods are available, including data warehouses for structured data or data lakes for unstructured, semi-structured, and structured data.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 26, 2024

Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Let’s find out what role each of these components play in the context of C360.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. You can use simple SQL to analyze structured and semi-structured data, operational databases, and data lakes to deliver the best price/performance at any scale.

Big Data 91

Big Data Data Warehouse Advertising OLAP 91

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. The AWS DPA is incorporated into the AWS Service Terms.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 98

Big Data Consulting Software Unstructured Data 98

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

Management 78

Management IT Machine Learning Metrics 78

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 118

Data-driven Advertising Metadata Data Architecture 118

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The following diagram illustrates this process.

Testing 111

Testing Data Warehouse Metrics Cost-Benefit 111

BizAcuity

MARCH 1, 2019

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Alation

MAY 16, 2023

Data Storage The data storage component of a pipeline provides secure, scalable storage for the data. Various data storage methods are available, including data warehouses for structured data or data lakes for unstructured, semi-structured, and structured data.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Data-driven 150

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

AWS Big Data

NOVEMBER 14, 2024

The challenge In the event of a disaster e.g. water flood, there is usually a lack of terrestrial data connectivity that prevents monitoring stations from taking actionable measures in real time. APIs act as the entry point for applications to access data, business logic, or functionality from your backend services.

Data Lake 105

Data Lake Metadata Testing Data-driven 105

CIO Business Intelligence

APRIL 16, 2025

Consulting firms say it is because our productivity is so well measured that when you apply a broad-scale capability like generative AI, you can see the impact and justify more investment. Customer service agents are paid for their time on the phone, so we carefully measure first call resolution and time tracking to SLA management.

ROI 71

ROI Measurement Testing Data Lake 71