CIO Business Intelligence

JANUARY 20, 2023

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

JUNE 9, 2023

Refer to Working with other AWS services in the Lake Formation documentation for an overview of table format support when using Lake Formation with other AWS services. Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query).

Data Lake 125

Data Lake Metadata Statistics Optimization 125

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 111

Management Snapshot Metrics Cost-Benefit 111

Cloudera

JULY 13, 2022

In this method, you prepare the data for migration, and then set up the replication plugin to use a snapshot to migrate your data. HBase replication policies also provide an option called Perform Initial Snapshot. Simultaneously creates a snapshot at T1 and copies it to the target cluster. . Deletes the snapshot. .

Snapshot 91

Snapshot Management Cost-Benefit Metadata 91

Smart Data Collective

NOVEMBER 4, 2021

If the answer is so easy why the worrying statistics? Cybersecurity refers to a company’s ability to protect its systems, network, and data from cybercrimes. Systematic pentesting might help identify some gaps in your cyber resilience program but ultimately, it’s just a snapshot of what is happening.

Strategy 132

Strategy Snapshot Risk IoT 132

Cloudera

NOVEMBER 13, 2020

For a more in-depth description of these phases please refer to Impala: A Modern, Open-Source SQL Engine for Hadoop. 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.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

datapine

NOVEMBER 13, 2019

Fortunately, we live in a digital age rife with statistics, data, and insights that give us the power to spot potential issues and inefficiencies within the business. This procurement report offers a panoramic snapshot of all valuable cost-based information. Despite this, these savings are nonetheless invaluable.

Reporting 158

Reporting KPI Cost-Benefit Dashboards 158

AWS Big Data

OCTOBER 24, 2023

We refer to the user-submitted query as the parent query and the rewritten query as the child query in this post. These metrics are accumulated statistics across all runs of the query. Summary of ingestion SYS_LOAD_HISTORY provides details into the statistics of COPY commands.

Metrics 99

Metrics Statistics Data Warehouse Cost-Benefit 99

AWS Big Data

SEPTEMBER 13, 2024

For comprehensive instructions, refer to Running Spark jobs with the Spark operator. For official guidance, refer to Create a VPC. Refer to create-db-subnet-group for more details. Refer to create-db-subnet-group for more details. Refer to create-db-cluster for more details. SubnetId" | jq -c '.') mysql_aurora.3.06.1

Management 104

Management Snapshot Cost-Benefit Testing 104

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

Data Lake 104

Data Lake Data Processing Metadata Snapshot 104

AWS Big Data

APRIL 10, 2024

For complete getting started guides, refer to Working with Aurora zero-ETL integrations with Amazon Redshift and Working with zero-ETL integrations. Refer to Connect to an Aurora PostgreSQL DB cluster for the options to connect to the PostgreSQL cluster. The following diagram illustrates the architecture implemented in this post.

Data Warehouse 107

Data Warehouse Analytics Metrics Snapshot 107

Cloudera

SEPTEMBER 17, 2020

This is typically for application (e.g.jar,py files) and reference files, and not the data that the job run will operate on. For further analysis, stage level summary statistics show the number of parallel tasks and I/O distribution. The admin overview page provides a snapshot of all the workloads across multi-cloud environments.

Visualization 104

Visualization Statistics Metrics Optimization 104

AWS Big Data

JULY 8, 2024

Refer to Using Apache Flink connectors to stay updated on any future changes regarding connector versions and compatibility. Extending checkpoint intervals allows Apache Flink to prioritize processing throughput over frequent state snapshots, thereby improving efficiency and performance. SQL Apache Flink 1.19 With runtime 1.18

Management 105

Management Dashboards Consulting Snapshot 105

AWS Big Data

JUNE 28, 2023

For more details, refer to the What’s New Post. For the complete list of public preview considerations, please refer to the feature AWS documentation. For complete getting started guides, refer to the following documentation links for Aurora and Amazon Redshift. The following diagram illustrates the high-level architecture.

Data Warehouse 96

Data Warehouse Analytics Metrics Dashboards 96

AWS Big Data

MARCH 21, 2024

Refer to Zero-ETL integration costs (Preview) for further details. For the complete getting started guides, refer to Working with Amazon RDS zero-ETL integrations with Amazon Redshift (preview) and Working with zero-ETL integrations. Configure the RDS for MySQL source with a custom DB parameter group.

Data Warehouse 101

Data Warehouse Metrics Statistics Optimization 101

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

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. For instructions, refer to Amazon DataZone quickstart with AWS Glue data. To learn more about Amazon DataZone, refer to the Amazon DataZone User Guide. option("header", "true").option("inferSchema",

Data Quality 104

Data Quality Visualization Metadata Metrics 104

AWS Big Data

OCTOBER 18, 2023

To create it, refer to Tutorial: Get started with Amazon EC2 Windows instances. To download and install AWS SCT on the EC2 instance that you created, refer to Installing, verifying, and updating AWS SCT. For more information about bucket names, refer to Bucket naming rules. Deselect Create final snapshot.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

AUGUST 1, 2024

For an example, refer to How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform. Column-level validation – Validate individual columns by comparing column-level statistics (min, max, count, sum, average) for each column between the source and target databases.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

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

Wayne Yaddow

FEBRUARY 26, 2025

How ItWorks Automated schema profiling compares real-time schema snapshots against historical ones to identify deviations. If certain transformations consistently fail or produce unexpected results, the system may pinpoint an incompatible data format or an out-of-date reference table. typos in addressfields).

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

DataKitchen

JANUARY 23, 2023

Data testing can be done through various methods, such as data profiling, Statistical Process Control, and quality checks. Data lineage vs. the run time operations on data Runtime operations, such as those captured and monitored by DataOps Observability solutions, refer to the actions performed on data while it is being processed.

Testing 130

Testing Data Governance Data Quality Data-driven 130