datapine

APRIL 15, 2020

You need to determine if you are going with an on-premise or cloud-hosted strategy. It might make sense to follow-up on specific operational metrics on a weekly or bi-weekly basis so that any issues or potential bottlenecks can be addressed quickly. Then, you need to choose AND set-up the right BI solution for your organization!

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

JUNE 8, 2023

For Host , enter events.PagerDuty.com. Configure OpenSearch Service alerts to send notifications to PagerDuty We can monitor OpenSearch cluster health in two different ways: Using the OpenSearch Dashboard alerting plugin by setting up a per cluster metrics monitor. For Monitor type , select Per cluster metrics monitor.

Data Lake 87

Data Lake Dashboards Metrics Testing 87

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 116

Management Metrics Cost-Benefit Data Lake 116

AWS Big Data

MARCH 6, 2024

The account on the right hosts the pseudonymization service, which you can deploy using the instructions provided in the Part 1 of this series. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

Metrics 108

Metrics Statistics Testing Data Lake 108

CIO Business Intelligence

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. We need hard metrics because we’re running 800 instances of cloud computers.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

AWS Big Data

DECEMBER 4, 2024

These nodes can implement analytical platforms like data lake houses, data warehouses, or data marts, all united by producing data products. By treating the data as a product, the outcome is a reusable asset that outlives a project and meets the needs of the enterprise consumer.

Metadata 94

Metadata Data Governance Data Quality Data-driven 94

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 104

Data Lake Data Warehouse Data-driven B2B 104

CIO Business Intelligence

JULY 31, 2024

As an integrated manufacturing capability, Dow is a complex puzzle, and these AI models help us incorporate historical data, market trends, and customer behaviors, all of which allow us to produce a more precise demand plan. Also, last August, we ran an AI immersion day, which the CEO Jim Fitterling and I co-hosted for our top 200 leaders.

Manufacturing 122

Manufacturing Cost-Benefit Digital Transformation Forecasting 122

AWS Big Data

AUGUST 19, 2024

This allows business analysts and decision-makers to gain valuable insights, visualize key metrics, and explore the data in depth, enabling informed decision-making and strategic planning for pricing and promotional strategies. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC.

Analytics 108

Analytics Data-driven Data Integration Data Lake 108

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 91

Data Lake Dashboards Metrics Metadata 91

AWS Big Data

AUGUST 27, 2024

The function captures usage and cost metrics, which are subsequently stored in Amazon Relational Database Service (Amazon RDS) tables. The data stored in the RDS tables is then queried to derive chargeback figures and generate reporting trends using Amazon QuickSight. tbl_applicationlogs – RDS table to store EMR application run logs.

Metrics 89

Metrics Dashboards Data Lake Optimization 89

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 107

IoT Data Warehouse Cost-Benefit Reporting 107

AWS Big Data

AUGUST 1, 2024

The success criteria are the key performance indicators (KPIs) for each component of the data workflow. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 76

Data Quality Data Lake Visualization Data-driven 76

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 97

Enterprise Data Warehouse Snapshot Cost-Benefit 97

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

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 94

Reporting Data Lake Management Optimization 94

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 26, 2024

The following figure shows some of the metrics derived from the study. 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.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

DataRobot Blog

MARCH 7, 2023

The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

AWS Big Data

JANUARY 22, 2024

Parameters of success Acast succeeded in bootstrapping and scaling a new team- and domain-oriented data product and its corresponding infrastructure and setup, resulting in less friction in gathering insights and happier users and consumers.

Data-driven 100

Data-driven Advertising Metadata Data Architecture 100

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.

Publishing 96

Publishing Dashboards Visualization Management 96

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. In this way, data governance is the business or process side. Attendance was high, as were the number of excellent questions.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 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

In this blog post, we delve into the intricacies of building a reliable data analytics pipeline that can scale to accommodate millions of vehicles, each generating hundreds of metrics every second using Amazon OpenSearch Ingestion. sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint hosts: [ "[link]. >

Analytics 105

Analytics IoT Dashboards Data Lake 105

CIO Business Intelligence

MARCH 18, 2024

Our data team uses gen AI on Amazon cloud to explore sustainability metrics. Though a multicloud environment, the agency has most of its cloud implementations hosted on Microsoft Azure, with some on AWS and some on ServiceNow’s 311 citizen information platform. AI tools rely on the data in use in these solutions.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

AWS Big Data

APRIL 7, 2025

For Available load balancers , select the load balancer you created in the last step From Supported Regions, select an additional region if Data Cloud isnt hosted in the same AWS region as the Redshift instance. Avijit Goswami is a Principal Solutions Architect at AWS specialized in data and analytics.

Management 81

Management Metrics Snapshot Data Lake 81

CIO Business Intelligence

FEBRUARY 18, 2025

Assuming the data platform roadmap aligns with required technical capabilities, this may help address downstream issues related to organic competencies versus bigger investments in acquiring competencies. The same would be true for a host of other similar cloud data platforms (Databricks, Azure Data Factory, AWS Redshift).

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90