DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Data Quality 198

Data Quality Testing Metrics Reporting 198

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart.

Testing 154

Testing Metadata Dashboards Statistics 154

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

FEBRUARY 1, 2024

You can run a direct query from QuickSight for BI reporting and dashboards. With QuickSight, you can also locally store data in the SPICE cache with auto refresh for low latency. You can use Amazon Managed Grafana for near-real-time trade dashboards that are refreshed every few seconds.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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. These ingested datasets are used as a source in CLEA dashboards. This is done at the group level.

Dashboards 111

Dashboards Analytics Metadata Data Warehouse 111

Cloudera

JUNE 7, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 112

IT Data Architecture Unstructured Data Big Data 112

DataKitchen

JUNE 12, 2023

We put them into production but then hope all the steps that data goes through from source to customer value work out correctly. We all know that our customers frequently find data and dashboard problems. Those tools work together to take data from its source and deliver it to your customers.

Testing 130

Testing Dashboards Data Lake Data Science 130

DataKitchen

JUNE 1, 2022

T ools/Models/Dashboards. Is my dashboard displaying the correct data? How many models and dashboards were deployed? They have a Low Change Appetite: Teams have complicated in place data architectures and tools. Did every job that was supposed to run, actually run? Quality/Tests/Trust. Root Cause.

Risk 100

Risk Management Testing Dashboards 100

CIO Business Intelligence

MARCH 6, 2024

Integrating gen AI In addition to governance, SAP also announced it integrated SAP SAC, the company’s business intelligence and planning solution, with its generative AI copilot, Joule, enabling it to automate the creation and development of reports, dashboards, plans, and more.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget. The following diagram illustrates the HMDK TCO architecture.

Dashboards 97

Dashboards Optimization Data Lake Cost-Benefit 97

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 116

Metadata Dashboards Metrics Visualization 116

CIO Business Intelligence

JUNE 16, 2022

Often, enterprise data ecosystems are built with a mindset that’s too narrow. Many organizations house their data in a variety of “fiefdoms” or silos. This might have worked for one team or one project or one application, but the end result of this effort was to lock data in a variety of silos across the organization.

IT 135

IT Experimentation IoT Data-driven 135

CIO Business Intelligence

JUNE 23, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 97

IT Data Architecture Unstructured Data Big Data 97

AWS Big Data

JUNE 6, 2023

In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner. The following architecture diagram shows an overview of the complete pipeline. Choose Visualize.

Data Quality 95

Data Quality Metrics Visualization Dashboards 95

AWS Big Data

JANUARY 6, 2025

You need an IAM role because Amazon AppFlow needs authorization to access Amazon Redshift using an Amazon Redshift Data API. Sign in to the AWS Management Console , preferably as admin user, and in the navigation pane of the IAM dashboard , choose Policies. Choose Create policy. Select the JSON tab and paste in the following policy.

Analytics 98

Analytics Data Warehouse Metrics Big Data 98

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. This exercise is mostly undertaken by QA teams.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Data Warehouse 122

Data Warehouse Data-driven Machine Learning B2B 122

Cloudera

MAY 8, 2023

Out of the box Cloudera Data platform (CDP) performs superbly but over time, if data architecture, data engineering, and DevOps best practices are not maintained, you can get stuck maintaining the wild, wild west. In this six-part series, we’re focused on improving the health of your environment.

Dashboards 77

Dashboards Data Architecture Visualization Management 77

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 134

Analytics IoT Data-driven Snapshot 134

CIO Business Intelligence

MAY 15, 2024

The ability to leverage data to understand and plan for those behaviors is extremely important. How did you improve the organization’s data literacy? Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it.

Cost-Benefit 98

Cost-Benefit Data Governance Data Architecture Reporting 98

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

Data Lake 88

Data Lake Data Warehouse Data Architecture Metadata 88

CIO Business Intelligence

JUNE 27, 2022

“The days of data leaders and their teams scrambling to build something — anything — and ship it to business teams are behind us,” he explains. We’re living with the results of those days, where teams are inundated with wall-to-wall dashboards that tell them everything and nothing.”.

Metrics 133

Metrics KPI IT Consulting 133

CIO Business Intelligence

JUNE 23, 2023

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

AWS Big Data

NOVEMBER 27, 2024

Error 63985 (HY000): S3 API returned error: Missing Credentials: Cannot instantiate S3 Client), Validate the source data in your Amazon Redshift data warehouse To validate the source data Navigate to the Redshift Serverless dashboard, open Query Editor v2, and select the workgroup and database created from integration from the drop-down list.

Data Warehouse 109

Data Warehouse Analytics Testing Modeling 109

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

JANUARY 30, 2025

Overall, the transition was seamless for our end users, who were able to view the same data and dashboards both during and after the migration, with minimal disruption along the way. Pete Allen, an analytics engineer from Open Universities Australia, says, Modernizing our data architecture with AWS has been transformative.

Data Warehouse 53

Data Warehouse Data Architecture Data Transformation Machine Learning 53

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.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

Smarten

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 78

Data Warehouse Software Data Architecture Dashboards 78

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

IT 89

IT Data Warehouse Dashboards Visualization 89

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 111

Data Warehouse Analytics Data Lake Data Science 111

Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. Perhaps it’s time for some law and order to prevent further crimes against the tech. We’ll list other do’s and don’ts. If you’ve got the symptoms, the doctors are in. Let the healing begin!

Scorecard 81

Scorecard Data Architecture Dashboards Measurement 81

AWS Big Data

NOVEMBER 9, 2023

Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making. It’s raw, unprocessed data straight from the source.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126