datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources. Data changes. Construction Iterations. Organizations change.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

AWS Big Data

MARCH 29, 2024

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Sample AWS CDK template This post provides a sample AWS CDK template for a dashboard using AWS Glue observability metrics.

Metrics 128

Metrics Visualization Dashboards Publishing 128

AWS Big Data

JUNE 8, 2023

You can use this proactive alerting to monitor data patterns for existing data, monitor clusters, detect patterns, and more. OpenSearch Dashboard provides an alerting plugin that you can use to set up various types of monitors and alerts. For Host , enter events.PagerDuty.com. On the Channels tab, choose Create channel.

Data Lake 98

Data Lake Dashboards Metrics Testing 98

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 107

Metadata Data Lake Data Processing Data-driven 107

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 98

Data Lake Testing Interactive Unstructured Data 98

AWS Big Data

AUGUST 19, 2024

This report is essential for understanding revenue streams, identifying opportunities for optimization, and making data-driven decisions regarding pricing and promotions. This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Proprietary file formats mean no one else is invited in! Separate compute.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

AWS Big Data

AUGUST 27, 2024

You can use the AWS Cloud Development Kit (AWS CDK) to deploy the Lambda function, RDS for PostgreSQL data model tables, and a QuickSight dashboard to track EMR cluster cost at the job, team, or business unit level. The following schema show the tables used in the solution which are queried by QuickSight to populate the dashboard.

Metrics 105

Metrics Dashboards Data Lake Optimization 105

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. Choose Import.

Publishing 105

Publishing Dashboards Visualization Management 105

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. As part of the success criteria for operational service levels, you need to document the expected service levels for the new Amazon Redshift data warehouse environment. Runtime Service level for data loading and transformation.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables. Sudipta Bagchi is a Sr.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. The following diagram shows a sample C360 dashboard built on Amazon QuickSight.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

AWS Big Data

FEBRUARY 16, 2023

In QuickSight, you analyze and visualize your data in analyses. When you’re finished, you can publish your analysis as a dashboard to share with others in your organization. Create an Amazon Redshift data source in AWS CloudFormation In this step, we add the AWS::QuickSight::DataSource section of the CloudFormation template.

Data Warehouse 98

Data Warehouse Sales Visualization Data Processing 98

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

AWS Big Data

JULY 14, 2023

The workflow contains the following steps: Data is saved by the producer in their own Amazon Simple Storage Service (Amazon S3) buckets. Data source locations hosted by the producer are created within the producer’s AWS Glue Data Catalog. Data source locations are registered with Lake Formation.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 98

Reporting Data Lake Management Optimization 98

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

AWS Big Data

MARCH 20, 2023

The data from the Kinesis data stream is consumed by two applications: A Spark streaming application on Amazon EMR is used to write data from the Kinesis data stream to a data lake hosted on Amazon Simple Storage Service (Amazon S3) in a partitioned way.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52

AWS Big Data

JUNE 13, 2023

Sign in to your Keycloak admin dashboard. For the Keycloak admin dashboard, use [link]. Insert your specific host domain name where the Keycloak application resides in the following URL: [link] /realms/aws-realm/protocol/saml/descriptor. Vamsi Bhadriraju is a Data Architect at AWS. Assign a name for this new realm.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

AWS Big Data

AUGUST 28, 2023

OpenSearch Ingestion reads Parquet formatted security data from the Security Lake managed Amazon S3 bucket and transforms the security logs into JSON documents. OpenSearch Ingestion ingests this OCSF compliant data into OpenSearch Service. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

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 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Alation

NOVEMBER 28, 2022

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

JULY 17, 2024

The architecture uses Amazon OpenSearch Ingestion to stream data into OpenSearch Service and Amazon Simple Storage Service (Amazon S3) to store the data. The data in OpenSearch powers real-time dashboards. The data in Amazon S3 is used for business intelligence and long-term storage.

Analytics 115

Analytics IoT Dashboards Data Lake 115

CIO Business Intelligence

AUGUST 7, 2024

But Barnett, who started work on a strategy in 2023, wanted to continue using Baptist Memorial’s on-premise data center for financial, security, and continuity reasons, so he and his team explored options that allowed for keeping that data center as part of the mix.

IT 120

IT Insurance Cost-Benefit Testing 120

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Next, identify the data sources that will be involved in the mapping.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. The following diagram illustrates the different layers of the data lake.

Data Lake 92

Data Lake Machine Learning Data Architecture Data-driven 92