AWS Big Data

SEPTEMBER 19, 2023

We choose AWS Glue mainly due to its serverless nature, which simplifies infrastructure management with automatic provisioning and worker management, and the ability to perform complex data transformations at scale. To achieve cost efficiency, our team built a cost attribution dashboard based on AWS cost allocation tags.

Analytics 81

Analytics Risk Big Data Machine Learning 81

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. SDK Feature overview The QuickSight SDK v2.0

Slice and Dice 83

Slice and Dice Dashboards Analytics Interactive 83

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

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. We also share case studies to show you the benefits of using the tool.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 123

Data Analytics Diagnostic Analytics Management Analytics 123

AWS Big Data

OCTOBER 11, 2023

Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.

Management 107

Management Metadata Analytics Dashboards 107

AWS Big Data

DECEMBER 21, 2023

Choose the link under OpenSearch Dashboards URL. After the job runs successfully, navigate to OpenSearch Dashboards, and log in to the dashboard. Choose Dashboards Management on the navigation menu. This enables organizations to streamline data integration and analytics with OpenSearch Service.

Analytics 98

Analytics IT Data Lake Visualization 98

AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 80

Dashboards Statistics Data Collection Business Intelligence 80

IBM Big Data Hub

JUNE 15, 2023

watsonx.data supports a variety of query engines Starting with Presto and Spark, watsonx.data provides for a breadth of workload coverage, ranging from big-data exploration, data transformation, AI model training and tuning, and interactive querying.

Data Warehouse 88

Data Warehouse Data Lake Optimization Data-driven 88

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

JANUARY 27, 2023

In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes. You can apply data, agent, call duration, and language filters for targeted search. Select -PCA-Dashboard and choose Share.

Analytics 62

Analytics Reporting Dashboards Visualization 62

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 88

Dashboards Visualization Metrics Data Transformation 88

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. As shown in the following figure, once the data ingestion and data analysis are complete, the queries are built using Athena. On the Datasets page, choose New data set.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

AWS Big Data

MARCH 3, 2023

Initially, Tricentis defines these dashboards and charts to enable insight on test runs, test traceability with requirements, and many other pre-defined use cases that can be valuable to customers. As the files are created, another process is triggered to load the data from each customer on their schema or table on Amazon Redshift.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. 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 firm also worked on creating a solid pipeline from the data warehouse to the data lake.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. Amazon Web Services.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

Alation

JANUARY 17, 2023

Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. Big data challenges and solutions. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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.

Dashboards 64

Dashboards Testing Metrics Optimization 64

IBM Big Data Hub

APRIL 14, 2023

Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas. Dashboards and reports The system included reports and dashboards based on deployed budget models. Focus areas include IBM solutions financial consolidation and reporting, and data transformation.

Forecasting 68

Forecasting Sales Dashboards Reporting 68

AWS Big Data

MARCH 15, 2023

When designing the data processing pipeline for the attribute API, the Infomedia team wanted to use a flexible and open-source solution for processing data workloads with minimal operational overhead. The API retrieves data at runtime from an Amazon Aurora PostgreSQL-Compatible Edition database for end-user consumption.

Cost-Benefit 68

Cost-Benefit Data Processing Optimization Data-driven 68

IBM Big Data Hub

OCTOBER 16, 2023

A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data. Increase trust in AI outcomes.

Risk 72

Risk Modeling Management Metadata 72

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 86

Data Lake Dashboards Metrics Metadata 86

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 94

Data Warehouse Data Lake Analytics Data Science 94

AWS Big Data

MAY 3, 2023

Components of the consumer application The consumer application comprises three main parts that work together to consume, transform, and load messages from Amazon MSK into a target database. The following diagram shows an example of data transformations in the handler component.

IoT 104

IoT Internet of Things Data Transformation Management 104

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. The transformative potential in AI? It relies on data. The thing that powers your CRM, your monthly report, your Tableau dashboard. The good news is that data has never […].

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

AWS Big Data

JULY 26, 2023

Plan In the planning phase, developers collect requirements from stakeholders such as end-users to define a data requirement. Every time the business requirement changes (such as adding data sources or changing data transformation logic), you make changes on the AWS Glue app stack and re-provision the stack to reflect your changes.

Data Integration 74

Data Integration Snapshot Testing Visualization 74

AWS Big Data

MARCH 16, 2023

A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models. Although this post specifically targets unpredictable workloads from dbt Cloud, the solution is also relevant for other unpredictable workloads, including ad hoc queries from dashboards.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 72

Reporting Metrics Optimization Data Lake 72

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics for Apache Flink In our example, we perform the following actions on the streaming data: Connect to an Amazon Kinesis Data Streams data stream. View the stream data. Transform and enrich the data. Manipulate the data with Python. Open the file to inspect the new data.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87