datapine

JULY 17, 2019

Quick Ratio / Acid Test. By providing a detailed visualization of every aspect of your sales portfolio, this report empowers sales managers to take a full snapshot of their sales operations without losing any data, enabling them to create an extensive sales report. KPIs used: Working Capital. Cash Conversion Cycle. Budget Variance.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Cloudera

FEBRUARY 8, 2024

Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Hive does this by asking the Iceberg library to return only the rows inserted since that table’s last snapshot when the materialized view was last rebuilt/created.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

AWS Big Data

MARCH 11, 2024

The third cost component is durable application backups, or snapshots. This is entirely optional and its impact on the overall cost is small, unless you retain a very large number of snapshots. The cost of durable application backup (snapshots) is $0.023 per GB per month. per hour, and attached application storage costs $0.10

Management 96

Management Snapshot Metrics Cost-Benefit 96

Cloudera

JULY 13, 2023

A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself. However, Iceberg Java API calls are not always cheap.

Metadata 70

Metadata Snapshot Data Warehouse Statistics 70

AWS Big Data

SEPTEMBER 13, 2023

Finally, by testing the framework, we summarize how it meets the aforementioned requirements. Current snapshot – This table in the data lake stores latest versioned records (upserts) with the ability to use Hudi time travel for historical updates. To test additional scenarios, refer to Extended Testing in the code repo.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

AWS Big Data

JUNE 9, 2023

It is crucial that you perform testing to ensure that a table format meets your specific use case requirements. Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). This post is not intended to provide detailed technical guidance (e.g.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

OCTOBER 18, 2023

Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup. When the test is successful, choose OK. Choose Test connection. Choose Test Task. Deselect Create final snapshot.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Cloudera

NOVEMBER 13, 2020

Exhaustive cost-based query planning depends on having up to date and reliable statistics which are expensive to generate and even harder to maintain, making their existence unrealistic in real workloads. We wanted a realistic query and workload to test with but also wanted to focus on queries not accessing very many rows.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

datapine

APRIL 11, 2019

Rather than listing facts, figures, and statistics alone, people used gripping, imaginative timelines, bestowing raw data with real context and interpretation. Download our 10-step checklist and see how to tell the best data story. Experiment. Don’t be afraid to experiment with different approaches to storytelling with data.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

Jet Global

MAY 15, 2020

This key financial metric gives a snapshot of the financial health of your company by measuring the amount of cash generated by normal business operations. This financial KPI gives you a quick snapshot of a business’ financial health. It should be the first thing you look for on the cash flow statement.

Metrics 98

Metrics Finance Reporting KPI 98

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. Did it fail?

Testing 130

Testing Data Governance Data Quality Data-driven 130

IBM Big Data Hub

SEPTEMBER 25, 2023

If the exploratory work needs to move on to testing and production, they can plan appropriately. They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. This way, the queries run much faster.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87