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. This strategy supports each division’s autonomy to implement their own data catalogs and decide which data products to publish to the group-level catalog.

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 100

Data Warehouse Metrics Statistics Optimization 100

CIO Business Intelligence

APRIL 8, 2025

As data volumes and use cases scale especially with AI and real-time analytics trust must be an architectural principle, not an afterthought. Comparison of modern data architectures : Architecture Definition Strengths Weaknesses Best used when Data warehouse Centralized, structured and curated data repository.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 109

Data Warehouse Cost-Benefit Dashboards Optimization 109

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

IBM Big Data Hub

AUGUST 28, 2023

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 95

Data Warehouse Analytics Metrics Dashboards 95

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Open the workgroup you want to monitor.

Metrics 87

Metrics Data Warehouse Dashboards Snapshot 87

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration 97

Data Integration Data Lake Statistics Data-driven 97

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The Redshift publish zone is a different set of tables in the same Redshift provisioned cluster.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

FineReport

FEBRUARY 12, 2020

Where- Where to publish and put this report? One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. From Google.

Reporting 98

Reporting Metrics ROI Visualization 98

FineReport

DECEMBER 25, 2019

Where- Where to publish and put this report? One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. One of the report tasks is to “paint a picture” of a business topic with multiple associated metrics with a hierarchy. From Google.

Reporting 98

Reporting Metrics ROI KPI 98

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Not today.

Analytics 146

Analytics Dashboards Metrics Key Performance Indicator 146

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. AWS Glue 5.0 Finally, AWS Glue 5.0

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Occam's Razor

APRIL 5, 2010

For some of your campaigns this data might not be easily available in your web analytics tool (it is also quite likely you are doing all of this analysis in Excel). Let's say I am a car insurance company, or a subscription publisher, with a desire to sort out some of tomorrow's problems today. Look 'em up.

Analytics 136

Analytics Marketing Measurement Metrics 136

AWS Big Data

AUGUST 15, 2024

To learn more, see Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions. In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. For instructions, refer to Amazon DataZone quickstart with Amazon Redshift data.

Data Quality 106

Data Quality Visualization Metadata Key Performance Indicator 106

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

CIO Business Intelligence

SEPTEMBER 21, 2022

“The good news for many CIOs is that they’ve already laid the groundwork through investments in data governance and migration to the cloud,” LiveRamp noted in a recent report. CEO & CFO – “Bring your stakeholders along your journey, proving your strategy’s value by being transparent on the metrics you’re tracking and how you’re faring.

Data Lake 105

Data Lake Risk Marketing Data Warehouse 105

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing data volumes and velocity can reduce the speed that teams make additions or changes to the analytical data structures at data integration points — where data is correlated from multiple different sources into high-value business assets. For data warehouses, it can be a wide column analytical table.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

Cloudera

MAY 13, 2021

After a job ends, WM gets information about job execution from the Telemetry Publisher, a role in the Cloudera Manager Management Service. Performance metrics appear in charts and graphs. . We compare the current run of a job to a baseline derived from performance metrics. Data Engineering jobs (optional). Maintain SLA.

Management 73

Management Data Warehouse Interactive Reporting 73

IBM Big Data Hub

APRIL 8, 2024

Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS RDS for Db2 supports integrations with CloudWatch, RDS Enhanced Monitoring and the IBM Data Management Console.

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

Cloudera

FEBRUARY 16, 2022

This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role. It is also possible to create your own AMP and publish it in the AMP catalogue for consumption. The ML researchers in Cloudera’s Fast Forward Labs develop and maintain each published AMP.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

AWS Big Data

JUNE 6, 2023

However, these tools often require manual processes of data discovery and expertise in data engineering and coding. AWS Glue Data Quality is a new feature of AWS Glue that measures and monitors the data quality of Amazon Simple Storage Service (Amazon S3)-based data lakes, data warehouses, and other data repositories.

Data Quality 82

Data Quality Data-driven Data Lake Metrics 82

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Here, the Full load rows and Total rows columns are important metrics whose counts should match with the record volumes of the 18 tables in the operational data source.

Data Lake 103

Data Lake Data Processing Metadata Snapshot 103

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 75

Modeling Sales Data Warehouse Snapshot 75

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 72

Analytics Data Warehouse Optimization Metrics 72

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Dashboards 52

Dashboards Metrics Sales Reporting 52

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Alation

JUNE 30, 2022

And as new technology allowed for more publishers and created a higher volume of content, information curation thrived. In today’s data-driven world, many data workers are struggling with high volumes of often redundant data… and many long for a data user’s version of Wikipedia.

Metadata 52

Metadata Data Warehouse Data Quality Data-driven 52

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

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 75

Data Quality Data Lake Visualization Data-driven 75

Jet Global

MAY 27, 2021

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Customize the report, if necessary, which takes moments, then publish to your users. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes. Very interesting.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

NOVEMBER 1, 2023

Originally published on December 9th, 2022. Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Amazon Redshift is a cloud-based data warehouse that supports many recovery capabilities to address unforeseen outages and minimize downtime.

Data Warehouse 103

Data Warehouse Snapshot Testing Management 103

Occam's Razor

APRIL 25, 2011

When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Measurement models and data results are just "trophy wives / husbands" to you.

Marketing 127

Marketing Metrics Measurement Testing 127

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. That approach probably created data silos between divisions, due to costs, budgets, accounting procedures, etc. A free mini-book about the second survey, Evolving Data Infrastructure, just published.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66