AWS Big Data

DECEMBER 5, 2023

HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results. The following are sample screenshots of the dashboards that show survey responses by zip code.

Measurement 85

Measurement Dashboards Data Warehouse Analytics 85

AWS Big Data

DECEMBER 21, 2023

Solution overview The new native OpenSearch Service connector is a powerful tool that can help organizations unlock the full potential of their data. It enables you to efficiently read and write data from OpenSearch Service without needing to install or manage OpenSearch Service connector libraries. Choose Store a new secret.

Analytics 99

Analytics IT Data Lake Visualization 99

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. The QuickSight SDK v2.0

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

AWS Big Data

NOVEMBER 9, 2023

It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides. This separation further simplifies data management and enhances the system’s overall performance.

Data Warehouse 109

Data Warehouse Testing Data Quality Reporting 109

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Data is made queryable in real time.

Metrics 83

Metrics Slice and Dice Data Warehouse Dashboards 83

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. Managing such a large number of devices can be challenging. QuickSight provides an ideal solution to meet these business needs.

Dashboards 79

Dashboards Statistics Data Collection Business Intelligence 79

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

IBM Big Data Hub

APRIL 14, 2023

To address these challenges, Al Rabie partnered with 1Direction Global, a top solution provider in Financial and Operational Performance Management and Consulting, and a Gold Business Partner with IBM since 2018. Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas.

Forecasting 70

Forecasting Sales Dashboards Reporting 70

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

AWS Big Data

FEBRUARY 6, 2023

The tool provides a YARN log collector to connect Hadoop Resource Manager to collect YARN logs. Amazon QuickSight dashboards showcase the results from the analyzer. The script connects your local machine with the Hadoop primary node and communicates with Resource Manager.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Their product is the data.

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

FEBRUARY 26, 2024

Amazon Keyspaces (for Apache Cassandra) is a fully managed, serverless, and Apache Cassandra-compatible database service offered by AWS. Amazon OpenSearch Service is a powerful and fully managed search and analytics service. It empowers businesses to explore and gain insights from large volumes of data quickly.

Dashboards 65

Dashboards Testing Metrics Optimization 65

Sisense

OCTOBER 15, 2020

Dealing with this challenge requires caching the relevant context on the processing instances (state management) using techniques like sliding time windows. Another goal that teams dealing with streaming data may have is managing and optimizing a file system on object storage. Optimizing object storage. Step 4: Query.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Sisense

MARCH 30, 2021

In Gartner’s Top 10 Data and Analytics Trends for 2021, trend No. 9 is “dashboards will be replaced with automated, conversational, mobile, and dynamically generated insights customized to a user’s needs and delivered to their point of consumption.” Advanced data transformation with Custom Code.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

AWS Big Data

FEBRUARY 6, 2023

It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. For various Hadoop jobs, customers have bespoke deployment options of fully managed Amazon EMR, Amazon EMR on Amazon EKS , and EMR Serverless. The following screenshot is an example of a YARN log.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 109

Management Metadata Analytics Dashboards 109

AWS Big Data

MARCH 16, 2023

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Together with price-performance , Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

Cloudera

FEBRUARY 8, 2021

Main components used in this demo: Cloudera Operational Database (COD), as mentioned in my previous post, is a managed dbPaaS solution available as an experience in Cloudera Data Platform (CDP). CML is designed for data scientists and ML engineers, enabling them to create and manage ML projects from code to production.

Machine Learning 72

Machine Learning Statistics Modeling Dashboards 72

Sisense

APRIL 10, 2020

Healthy Data is your window into how data is helping these organizations address this crisis. As the rapid spread of COVID-19 continues, data managers around the world are pulling together a wide variety of global data sources to inform governments, the private sector, and the public with the latest on the spread of this disease.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

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 71

Reporting Metrics Optimization Data Lake 71

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. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 98

Dashboards Analytics Metadata Data Warehouse 98

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. More specifically, you also need to fix bugs, resolve customer issues, and manage software changes. It is the dictionary generated from default-config.yaml. rename_field('id', 'org_id').rename_field('name',

Data Integration 74

Data Integration Snapshot Testing Visualization 74

FineReport

APRIL 21, 2024

Lengthy Turnaround Time In the competitive landscape of analytics, swift delivery of insights is paramount to proving the value of data and analytics teams. The ability to create and deploy embedded dashboards quickly is essential for engaging clients and internal stakeholders. What Are the Main Benefits of Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

JUNE 20, 2023

You can easily deliver data to supported destinations using the Amazon Kinesis Data Firehose integration with VPC flow logs. 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.

Dashboards 87

Dashboards Visualization Metrics Data Transformation 87

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. These upstream data sources constitute the data producer components.

Data Warehouse 95

Data Warehouse Data Lake Analytics Data Science 95

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. The architecture uses AWS Lambda , a serverless, event-driven compute service that lets you run code without provisioning or managing servers. On the Datasets page, choose New data set.

Visualization 100

Visualization Dashboards Data-driven Gap analysis 100

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

AWS Big Data

MAY 3, 2023

This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR wanted to design and build a solution for a new Fleet Management System (FMS). The following figure shows an example of the data flow at SOCAR.

IoT 106

IoT Internet of Things Data Transformation Management 106

Anmut

APRIL 6, 2022

In our experience, organisations fail to maximise the value of data because, although leaders talk about data as a valuable asset, they don’t actually manage it like an asset. We’ll also introduce steps you can take to implement data asset management and extract maximum value from your organisation’s data.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

O'Reilly on Data

OCTOBER 19, 2021

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Data is at the core of any ML project, so data infrastructure is a foundational concern. Foundational Infrastructure Layers. Orchestration. Versioning.

IT 346

IT Testing Experimentation Software 346

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Let’s refer to this S3 bucket as the raw layer.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

JUNE 29, 2023

If you don’t have any Kinesis Data Analytics for SQL applications, this post still provides a background on many of the use cases you’ll see in your data analytics career and how Amazon Data Analytics services can help you achieve your objectives. Kinesis Data Analytics for Apache Flink is a fully managed Apache Flink service.

Data Analytics 77

Data Analytics Analytics IoT Data Lake 77

O'Reilly on Data

JANUARY 17, 2023

Related to the previous point, a company could go from “raw data” to “it’s serving predictions on live data” in a single work day. You need to coordinate with stakeholders and product managers to suss out what kinds of models you need and how to embed them into the company’s processes.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 83

Data Lake Data Architecture Metadata Data Warehouse 83

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 company needed a modern data architecture to manage the growing traffic effectively. .

Data Lake 76

Data Lake Data Warehouse Data Architecture Reporting 76