AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Finally, we show you the technical information to use the tool.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

APRIL 26, 2023

Use Case Overview Huron’s Business Intelligence use case represents visualizations as a service, where Huron has core set of visualizations and dashboards available as products for its customers. In the next stage of the cycle, Huron’s consultants experiment with new data sources and insights that in turn fed back into the product dashboards.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Data Warehouse 92

Data Warehouse Data-driven Machine Learning B2B 92

AWS Big Data

NOVEMBER 9, 2023

Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making. It’s raw, unprocessed data straight from the source.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

IBM Big Data Hub

NOVEMBER 14, 2022

Being a data-driven organization goes well beyond building a modern data architecture. For CDOs and other leaders within different lines of business, this means fostering a culture that prioritizes data literacy : the ability to read, understand, create and communicate data.

Data-driven 52

Data-driven Visualization Data Architecture Strategy 52

AWS Big Data

JUNE 29, 2023

To address this, in this post we show you how you can automate near-real-time notifications over a Slack channel when certain queries are run on the data warehouse. We also create a simple governance dashboard using a combination of Amazon DynamoDB , Amazon Athena , and Amazon QuickSight. The AWS Region used for this post is us-east-1.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

Cloudera

JANUARY 29, 2021

In order to enable Connected Manufacturing and emerging IIoT use cases, manufacturers need a solution that can handle all types of diverse data structures and schemas from the edge, normalize the data, and then share it with any type of data consumer including Big Data applications. . Lack of Clear ROI .

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

TDAN

DECEMBER 3, 2019

Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. It relies on data. The thing that powers your CRM, your monthly report, your Tableau dashboard. The good news is that data has never […]. The transformative potential in AI?

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). The second is that the company’s management team will want real-time updates and analysis of how sales are performing.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

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. The workflow consists of the following steps: The user navigates to the OpenSearch Dashboards URL in their browser.

Dashboards 81

Dashboards Data Processing Metadata Consulting 81

AWS Big Data

MARCH 25, 2024

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses and data lakes, using AWS-designed hardware and machine learning to deliver the best price-performance at scale. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

NOVEMBER 15, 2023

The CLEA dashboards were built on the foundation of the Well-Architected Lab. For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. These ingested datasets are used as a source in CLEA dashboards. This is done at the group level.

Dashboards 94

Dashboards Analytics Metadata Data Warehouse 94

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 99

Metadata Dashboards Metrics Visualization 99

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 77

Data Lake Data Governance Cost-Benefit Machine Learning 77

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Note that there can only be one default IAM role.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

NOVEMBER 13, 2023

Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster. Also, over time the number of BI dashboards (both scheduled and live) increased, which contributed to more queries being submitted to the Redshift cluster.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

AWS Big Data

AUGUST 2, 2023

The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint. Customers have the flexibility to choose the services in each stage of the data pipeline based on their use case.

Data Lake 69

Data Lake Measurement Visualization Data Architecture 69

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. sales_datashare_schema"."sales_schema.store_sales";

Management 88

Management Data Lake Sales Data Warehouse 88

AWS Big Data

APRIL 19, 2023

We needed to be able to write or load data into our data storage solution very quickly without interfering with the reading and querying of the data at the same time.” Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up. Take the case of mobile gaming company Playrix.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

IBM Big Data Hub

JULY 13, 2023

This includes the deduplication of datasets, so that multiple data entries don’t unintentionally exist in multiple locations. Data standardization This is the process of conforming disparate data assets and unstructured big data into a consistent format that ensures data is complete and ready for use, regardless of data source.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. For example, every night an Amazon Redshift table needs to be fully updated with the latest customer information that will be consumed by an Amazon QuickSight dashboard.

Visualization 75

Visualization Data Warehouse Big Data Data Lake 75

IBM Big Data Hub

DECEMBER 4, 2023

During configuration, an organization constructs its data architecture and defines user roles. In this phase of implementation, organizations should determine which reports are best captured on an intermittent basis, and what kind of data is better visualized through one of the platform’s real-time monitoring dashboards.

Testing 79

Testing Consulting Digital Transformation Cost-Benefit 79

Cloudera

NOVEMBER 29, 2021

Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The category Data Lifecycle Connection highlights organizations that work with multiple parts of the data lifecycle to collect, enrich, report, serve, and predict. .

Data Lake 76

Data Lake Data Warehouse Data Architecture Reporting 76

AWS Big Data

NOVEMBER 29, 2023

Today, tens of thousands of customers use Amazon Redshift in AWS global infrastructure to collectively process exabytes of data daily and employs Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning, data sharing and monetization, (..)

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

AWS Big Data

NOVEMBER 16, 2023

The presentation marts, also known as the data mart layer, further reorganizes the data for optimized consumption by downstream clients such as business dashboards. The presentation marts may, for example, reorganize data into a STAR schema.

Enterprise 83

Enterprise Data Warehouse Data Lake Optimization 83

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Thanks to all of these for their help. Application Programming Interface (API).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69