Occam's Razor

JULY 15, 2014

I'm excited about the power of a well created dashboard. Dashboards are every where, we will look at a lot of them in this post and they are all digital. Here's a great dashboard, for the Museum of Art… take a minute to ponder it… Isn't it pretty awesome? They are data pukes. Still a data puke.

Dashboards 159

Dashboards Key Performance Indicator Snapshot Slice and Dice 159

datapine

OCTOBER 17, 2019

When these reports are backed up with powerful visualizations developed with a dashboard creator , no information can stay hidden, eliminating thus the possibility of human errors and negative business impact. In essence, data reporting is a specific form of business intelligence that has been around for a while.

Reporting 263

Reporting Management Dashboards KPI 263

AWS Big Data

JULY 25, 2023

In the Metric filters section, expand Additional filtering options. In the Metric filters section, expand Additional filtering options. Method 2: Monitor metrics in CloudWatch Redshift Serverless publishes serverless endpoint performance metrics to CloudWatch. Choose Workgroup to view workgroup-related metrics.

Metrics 80

Metrics Data Warehouse Dashboards Snapshot 80

datapine

AUGUST 21, 2019

Because after all – a business dashboard is worth a thousand Excel sheets. A sales graph example generated with a dashboard builder that will prove invaluable regardless of your niche or sector. Number 6 on our list is a sales graph example that offers a detailed snapshot of sales conversion rates. 11) Sales KPI Dashboard.

Sales 235

Sales Dashboards KPI Visualization 235

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. Each information can be gathered into a single, live dashboard , that will ultimately secure a fast, clear, simple, and effective workflow.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

datapine

DECEMBER 17, 2019

The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. Using an IT analytics software is extremely useful in the matter: by gathering all your data in a single point-of-truth, you can easily analyze everything at once and create actionable IT dashboards.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 105

Management Metadata Analytics Dashboards 105

AWS Big Data

JUNE 28, 2023

The data becomes available in Amazon Redshift within seconds, allowing users to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. The transactional data from this website is loaded into an Aurora MySQL 3.03.1 (or

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

AWS Big Data

APRIL 10, 2024

The data warehouse must comply with the following requirements: Created in preview (for Aurora PostgreSQL sources only) Uses an RA3 node type (ra3.16xlarge, ra3.4xlarge, or ra3.xlplus) Choose Query data to open the query editor v2. Connect to the Redshift Serverless data warehouse by choosing Create connection.

Data Warehouse 92

Data Warehouse Analytics Metrics Snapshot 92

AWS Big Data

NOVEMBER 1, 2023

It’s a good practice to set up automatic retries in your extract, transform, and load (ETL) processes and dashboards so that they can be reissued and served by the cluster in the secondary Availability Zone when an unlikely failure happens in the primary Availability Zone. Select your cluster and navigate to the cluster details page.

Data Warehouse 95

Data Warehouse Snapshot Testing Management 95

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. The raw data can be streamed to Amazon S3 for archiving.

Analytics 113

Analytics IoT Data-driven Snapshot 113

IBM Big Data Hub

FEBRUARY 15, 2024

Observability comprises a range of processes and metrics that help teams gain actionable insights into a system’s internal state by examining system outputs. The primary data classes used—known as the three pillars of observability—are logs, metrics and traces.

Metrics 66

Metrics Key Performance Indicator Snapshot KPI 66

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so. click to enlarge**.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

AWS Big Data

MARCH 21, 2024

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. They would like to get these metrics in near real time using a zero-ETL integration.

Data Warehouse 87

Data Warehouse Metrics Statistics Optimization 87

AWS Big Data

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

datapine

MARCH 27, 2019

By managing customer data the right way, you stand to reap incredible rewards. Download right here your quick summary of the customers’ data world! Such inconsistencies can have a huge effect on the way data is organized through a host of different management systems within a company. Visualize your data.

Management 129

Management Data-driven Dashboards Visualization 129

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. The main idea of this architecture is to be event-driven with eventual consistency.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

APRIL 6, 2023

All operations and procedures that we cover in this post are issued directly to the OpenSearch REST API or via the Dev Tools in OpenSearch Dashboards. Check the disk.avail metric for hot storage tier nodes to validate your available disk space. The source index can still be used for querying and processing the data.

Snapshot 85

Snapshot Recreation/Entertainment Strategy Metrics 85

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

JULY 19, 2023

Lastly, we use Amazon QuickSight to gain insights on the modeled data in the form of a QuickSight dashboard. The data (business process) needs to be integrated across various departments, in this case, marketing can access the sales data. We use our data mart to visually present the facts in the form of a dashboard.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. We will look at some simple errors, and some much more subtle ones that end up limiting our ability to communicate effectively with data. Or, both. : ).

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 139

Business Intelligence Dashboards Data mining OLAP 139

IBM Big Data Hub

MAY 17, 2024

Understanding the low adoption rate The low adoption rate of traditional BI tools, particularly dashboards, is a multifaceted issue rooted in both the inherent limitations of these tools and the evolving needs of modern businesses. Dashboards are static and require users to come with specific queries or metrics in mind.

Dashboards 78

Dashboards Business Intelligence Snapshot Interactive 78

IBM Big Data Hub

SEPTEMBER 25, 2023

The technical value of Presto at Uber Analyzing complex data types with Presto As a digital native company, Uber continues to expand its use cases for Presto. For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87