AWS Big Data

FEBRUARY 12, 2024

In this use case, Gupshup is heavily relying on Amazon Redshift as their data warehouse to process billions of streaming events every month, performing intricate data-pipeline-like operations on such data and incrementally maintaining a hierarchy of aggregations on top of raw data.

Analytics 113

Analytics Data Warehouse Snapshot Cost-Benefit 113

AWS Big Data

JUNE 10, 2024

Data-driven decisions lead to more effective responses to unexpected events, increase innovation and allow organizations to create better experiences for their customers. Short overview of Cloudinary’s infrastructure Cloudinary infrastructure handles over 20 billion requests daily with every request generating event logs.

Data Lake 121

Data Lake Metadata Snapshot Analytics 121

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue. Agent states are reported in agent-state events.

Management 117

Management Metadata Analytics Dashboards 117

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. The streaming records are read in the order they are produced, allowing for real-time analytics, building event-driven applications or streaming ETL (extract, transform, and load).

Analytics 123

Analytics IoT Data-driven Snapshot 123

Sisense

JANUARY 6, 2020

Plus, it unifies Salesforce metrics and definitions into one data model that becomes a single source of truth for your company, meaning there’s no question about the accuracy of data and no conflict between teams about what’s accurate. Daily snapshot of opportunities that’s derived from a table of opportunities’ histories. Was it lost?

Sales 91

Sales Forecasting Snapshot Management 91

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 87

Metrics Data Warehouse Dashboards Snapshot 87

AWS Big Data

MARCH 25, 2024

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator. Streaming storage provides reliable storage for streaming data.

Data Lake 104

Data Lake Unstructured Data Management Snapshot 104

AWS Big Data

MAY 10, 2023

Additionally, shard redistribution during failure events causes increased resource utilization, leading to increased latencies and overloaded nodes, further impacting availability and effectively defeating the purpose of fault-tolerant, multi-AZ clusters. This event is referred to as a zonal failover.

Snapshot 107

Snapshot Testing Metadata Management 107

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

AWS Big Data

NOVEMBER 16, 2023

When a usage limit threshold is reached, events are also logged to a system table. Redshift provisioned clusters also support query monitoring rules to define metrics-based performance boundaries for workload management queues and the action that should be taken when a query goes beyond those boundaries.

Enterprise 96

Enterprise Data Warehouse Snapshot Cost-Benefit 96

AWS Big Data

NOVEMBER 6, 2023

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. The trigger runs in a parent process called a triggerer , a service that runs an asyncio event loop. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics.

Metrics 116

Metrics Metadata Snapshot Management 116

AWS Big Data

AUGUST 6, 2024

Monitoring and alerting The continuous observation and analysis of system components and performance metrics to detect and address issues, optimize resource usage, and provide overall health and reliability. Amazon MWAA natively provides Airflow environment metrics and Amazon MWAA infrastructure-related metrics.

Cost-Benefit 103

Cost-Benefit Metadata Snapshot Metrics 103

AWS Big Data

APRIL 10, 2024

CREATE DATABASE aurora_pg_zetl FROM INTEGRATION ' ' DATABASE zeroetl_db; The integration is now complete, and an entire snapshot of the source will reflect as is in the destination. You can choose the zero-ETL integration you want and display Amazon CloudWatch metrics related to the integration.

Data Warehouse 106

Data Warehouse Analytics Metrics Snapshot 106

AWS Big Data

MARCH 21, 2024

Solution overview Let’s consider TICKIT , a fictional website where users buy and sell tickets online for sporting events, shows, and concerts. The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons.

Data Warehouse 100

Data Warehouse Metrics Statistics Optimization 100

AWS Big Data

JUNE 28, 2023

Solution overview Let’s consider TICKIT , a fictional website where users buy and sell tickets online for sporting events, shows, and concerts. The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons.

Data Warehouse 95

Data Warehouse Analytics Metrics Dashboards 95

Occam's Razor

DECEMBER 21, 2009

A best practice is to pull atleast some input metrics (Visits) with some attribute metrics (% New Visits), have something that denotes customer behavior (bounce rate) and it is criminal not to have atleast a couple outcome metrics (goal conversion rate, per visit goal value). In a second the table transforms into.

Metrics 94

Metrics KPI Reporting Visualization 94

Cloudera

SEPTEMBER 17, 2020

This will allow defining of custom DAGs and scheduling of jobs based on certain event triggers like an input file showing up in an S3 bucket. For starters it lacks metrics around cpu, memory utilization that are easily correlated across the lifetime of the job. Self-service visual profiling and troubleshooting.

Visualization 104

Visualization Statistics Metrics Optimization 104

AWS Big Data

JANUARY 24, 2023

It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data. All relevant events are then stored in a DynamoDB table. The code is deployed using the AWS CDK.

Data Architecture 72

Data Architecture Metadata Data Lake Snapshot 72

AWS Big Data

SEPTEMBER 13, 2023

The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure. As shown in the following diagram, it consists of an Amazon EventBridge event rule, an Amazon Simple Queue Service (Amazon SQS) queue, an AWS Lambda function, and a DynamoDB table.

Data Lake 103

Data Lake Data Processing Metadata Snapshot 103

AWS Big Data

JUNE 9, 2023

A typical example of this is time series data (for example sensor readings), where each event is added as a new record to the dataset. Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). The following table summarizes the features.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

AWS Big Data

JULY 19, 2023

For this solution, we use a sample dataset (normalized) provided by Amazon Redshift for event ticket sales. Additionally, we add a fifth step for demonstration purposes, which is to report and analyze business events. Lastly, we use Amazon QuickSight to gain insights on the modeled data in the form of a QuickSight dashboard.

Modeling 75

Modeling Sales Data Warehouse Snapshot 75

Cloudera

MAY 13, 2021

Performance metrics appear in charts and graphs. . We might find the root cause by realizing that a problem recurs at a particular time, or coincides with another event. . We compare the current run of a job to a baseline derived from performance metrics. After moving to CDP, take a snapshot to use as a CDP baseline.

Management 73

Management Data Warehouse Interactive Reporting 73

Depict Data Studio

SEPTEMBER 13, 2023

Grant Deliverables In this blog post , you’ll see how Josephine Engels did need to start from scratch — she was visualizing these metrics for her organization for the first time — and then made several dashboards to track grant deliverables. Adapt one of these dashboards instead.

Dashboards 52

Dashboards Visualization Snapshot Data-driven 52

AWS Big Data

FEBRUARY 1, 2023

Lambda as AWS Glue ETL Trigger We enabled S3 event notifications on the S3 bucket to trigger Lambda, which further partitions our data. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store. The data is partitioned on InputDataSetName, Year, Month, and Date.

Optimization 52

Optimization Forecasting Data Lake Metadata 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. The main idea of this architecture is to be event-driven with eventual consistency.

Software 52

Software Data Lake Testing Cost-Benefit 52

Alation

AUGUST 26, 2021

BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. AI and ML are used in concert to predict possible events and model outcomes. The BI and AI Problem: Garbage In, Garbage Out.

Metadata 64

Metadata Data Governance Dashboards Software 64

Smarten

DECEMBER 5, 2024

Anomaly detection in data analytics is defined as the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well-defined notion of normal behavior. Select Augmented Analytics with Anomaly Monitoring and Alerts!

Key Performance Indicator 64

Key Performance Indicator KPI Measurement Data Quality 64

AWS Big Data

NOVEMBER 1, 2023

Auto recovery of multi-AZ deployment In the unlikely event of an Availability Zone failure, Amazon Redshift Multi-AZ deployments continue to serve your workloads by automatically using resources in the other Availability Zone. Choose the Maintenance Select a snapshot and choose Restore snapshot , Restore to provisioned cluster.

Data Warehouse 103

Data Warehouse Snapshot Testing Management 103

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Data-driven 150

AWS Big Data

MAY 19, 2023

Orchestrate CloudTrail log aggregation with AWS Glue and Amazon MWAA In this example, we go through a use case of using Amazon MWAA to orchestrate an AWS Glue Python Shell job that persists aggregated metrics based on CloudTrail logs. CloudTrail enables visibility into AWS API calls that are being made in your AWS account.

Machine Learning 95

Machine Learning Metrics Big Data Management 95

Jet Global

NOVEMBER 14, 2022

Enterprise Performance Management (EPM) provides users throughout your company with vivid, up-to-the-minute details about the key metrics that drive your organization’s success. This creates an opportunity-cost when decision makers have to wait for the reports they’ll be using to track performance metrics. Step 6: Drill Into the Data.

Reporting 52

Reporting Sales Dashboards Metrics 52

Timo Elliott

JANUARY 18, 2021

What you see here is a Power BI dashboard, and in this particular case, it’s a world view of the situation in terms of confirmed cases around the world, and you can drill in and you’ll see all the different countries in the world, and then you see a snapshot view on the right-hand side of what the case levels are around the world.

IT 76

IT Dashboards Digital Transformation Data-driven 76

Jet Global

MAY 24, 2022

All of that in-between work–the export, the consolidation, and the cleanup–means that analysts are stuck using a snapshot of the data. Executives need to know how the organization is performing relative to key metrics, and how certain external factors may impact revenue product demand, profitability, supply chain performance, and more.

Finance 52

Finance Reporting Sales Software 52

Jet Global

MAY 4, 2022

You’ll learn how leading finance teams apply technology to the task of producing fast, accurate reports, eliminating tedious manual effort, giving managers visibility to real-time organizational metrics, and instilling confidence in stakeholders throughout the company. Challenge 1. ERP Complexity.

Reporting 52

Reporting Finance Software Consulting 52

AWS Big Data

FEBRUARY 18, 2025

For S3 backup bucket error output prefix , enter error/events-1/. On the Logging and metrics tab, choose Enable. Storage optimization You can manage storage overhead by removing older, unnecessary snapshots and their associated underlying files. For more information, refer to Route incoming records to different Iceberg Tables.

Snapshot 76

Snapshot Optimization Data Lake Metadata 76

AWS Big Data

APRIL 7, 2025

In the case that a cluster has failed and cant be recovered automatically, you have to initiate a restore of the cluster from a previous snapshot. By using Multi-AZ deployments, your Redshift data warehouse can continue operating in failure scenarios when an unexpected event happens in an Availability Zone.

Management 80

Management Metrics Snapshot Data Lake 80

AWS Big Data

DECEMBER 19, 2024

Although this provides immediate consistency and simplifies reads (because readers only access the latest snapshot of the data), it can become costly and slow for write-heavy workloads due to the need for frequent rewrites. The following table shows some metrics of the Athena query performance.

Data Lake 91

Data Lake IoT Metadata Testing 91