AWS Big Data

JUNE 27, 2024

The objective of a disaster recovery plan is to reduce disruption by enabling quick recovery in the event of a disaster that leads to system failure. With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift.

Snapshot 93

Snapshot Data Warehouse Data Processing Strategy 93

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 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

AUGUST 14, 2024

It also offers first-class support for stateful processing and event time semantics. As of this writing, the Managed Service for Apache Flink application still shows a RUNNING status when such errors occur, despite the fact that the underlying Flink application cannot process the incoming events and recover from the errors.

Management 105

Management Snapshot Testing Dashboards 105

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 119

Snapshot Metadata Testing Management 119

AWS Big Data

JUNE 5, 2023

In the event of an upgrade failure, Amazon MWAA is designed to roll back to the previous stable version using the associated metadata database snapshot. During an upgrade, Amazon MWAA first creates a snapshot of the existing environment’s metadata database, which then serves as the basis for a new database. or v2.0.2,

Snapshot 98

Snapshot Metadata Testing Data-driven 98

AWS Big Data

APRIL 27, 2023

Athena also supports the ability to create views and perform VACUUM (snapshot expiration) on Apache Iceberg tables to optimize storage and performance. Data transformation processes can be complex requiring more coding, more testing and are also error prone. However, this requires knowledge of a table’s current snapshots.

Data Lake 97

Data Lake Snapshot Optimization Data Transformation 97

AWS Big Data

MARCH 18, 2024

Apache Flink is an open source distributed processing engine, offering powerful programming interfaces for both stream and batch processing, with first-class support for stateful processing and event time semantics. Handling data skew Apache Flink uses watermarks to support event-time semantics.

Management 122

Management Snapshot Broadcasting Optimization 122

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Debezium MySQL source Kafka Connector reads these change events and emits them to the Kafka topics in Amazon MSK.

Data Warehouse 116

Data Warehouse Snapshot Data Processing Internet of Things 116

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario.

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

AWS Big Data

OCTOBER 11, 2023

This may require frequent truncation in certain tables to retain only the latest stream of events. Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. Agent states are reported in agent-state events. We use two datasets in this post.

Management 131

Management Metadata Analytics Dashboards 131

Cloudera

JULY 14, 2023

In all the use cases we are trying to migrate a table named “events.” They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data. You could first create a snapshot table, run sanity checks on the snapshot table, and ensure that everything is in order.

Snapshot 70

Snapshot Data Warehouse Metadata Optimization 70

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. Finally, by testing the framework, we summarize how it meets the aforementioned requirements. The event rule forwards the object event notifications to the SQS queue as messages.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

Smart Data Collective

NOVEMBER 4, 2021

While cyber resilience is a company’s ability to deliver their services, operations, and despite possible cyber events, and their capability to maintain work with the system or data being compromised. In industries such as healthcare, gaming, financial and other penetration testing of cloud resources is a part of a standard IT process.

Strategy 132

Strategy Snapshot Risk IoT 132

AWS Big Data

MARCH 28, 2023

Test SCD Type 2 implementation With the infrastructure in place, you’re ready to test out the overall solution design and query historical records from the employee dataset. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis.

Data Lake 101

Data Lake Testing Snapshot Big Data 101

IBM Big Data Hub

JUNE 7, 2023

IBM Storage Defender is designed to be able to leverage sensors—like real-time threat detection built into IBM Storage FlashSystem —across primary and secondary workloads to detect threats and anomalies from backup metadata, array snapshots and other relevant threat indicators.

Snapshot 77

Snapshot Metadata Enterprise Testing 77

AWS Big Data

MAY 31, 2023

There are two essential elements that influence your domain’s availability: the resource utilization of your domain, which is mostly driven by your workload, and external events such as infrastructure failures. This ensures that your domain is available in the event of a Single-AZ failure.

Snapshot 104

Snapshot Data-driven Optimization Management 104

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. 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. This process has to be scheduled separately by the user on a time or event basis.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

JULY 25, 2023

If any dashboard query takes more than a minute, it could indicate a poorly written query or a query that hasn’t been tested well, and has incorrectly been released to production. The following screenshot shows the metrics available at the snapshot storage level. You know that dashboard queries typically complete in under a minute.

Metrics 98

Metrics Data Warehouse Dashboards Snapshot 98

Laminar Security

NOVEMBER 9, 2023

An industry-accepted framework can serve as a litmus test to ensure that your chosen platform covers the most critical facets of data security and keeps bad actors at bay. Countless organizations have also tested these principles by applying them in real-life data security scenarios.

Strategy 88

Strategy Risk Testing Recreation/Entertainment 88

AWS Big Data

FEBRUARY 9, 2023

Developers need to understand the application APIs, write implementation and test code, and maintain the code for future API changes. With Amazon AppFlow, you can run data flows at enterprise scale at the frequency you choose—on a schedule, in response to a business event, or on demand. Choose Save and then choose Activate flow.

Data Warehouse 104

Data Warehouse Data-driven Snapshot Testing 104

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Cloudera

MAY 24, 2021

These include workload reviews, testing and validation, managing service-level agreements (SLAs), and minimizing workload unavailability during the move. . Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies. But, Spark 1.6

Metadata 83

Metadata Testing Snapshot Strategy 83

AWS Big Data

JUNE 12, 2023

By harnessing the power of streaming data, organizations are able to stay ahead of real-time events and make quick, informed decisions. With the ability to monitor and respond to real-time events, organizations are better equipped to capitalize on opportunities and mitigate risks as they arise. Refer to the first stack’s output.

Management 98

Management Metadata Internet of Things Testing 98

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

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

OCTOBER 18, 2023

You can access data with traditional, cloud-native, containerized, serverless web services or event-driven applications. 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. Choose Test Task.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

Depict Data Studio

SEPTEMBER 13, 2023

” I write, “The pie charts and bar charts above were only giving the viewers a single snapshot in time. ” Family Trivia Event In this blog post , you’ll see how Emily Ross used dashboards “to make a family trivia event even better.”

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. This will make launching and testing models simpler.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

MAY 13, 2021

The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. We might find the root cause by realizing that a problem recurs at a particular time, or coincides with another event. . After moving to CDP, take a snapshot to use as a CDP baseline. How WM helps the Move to CDP.

Management 73

Management Data Warehouse Interactive Reporting 73

CDW Research Hub

MARCH 26, 2019

The current protection policy takes a snapshot (backup) every 24 hours. With Cohesity, QCHI can leverage Amazon Web Services (AWS) integrations to send backups out to AWS as well as leverage AWS in the event of a disaster. In the event of a disaster, Cohesity will utilize the Cohesity CloudRetrieve and CloudSpin features.

Cost-Benefit 40

Cost-Benefit Snapshot Testing Interactive 40

Cloudera

NOVEMBER 13, 2020

The new Catalog design means that Impala coordinators will only load the metadata that they need instead of a full snapshot of all the tables. A new event notification callback from the HMS will inform the catalog service of any metadata changes in order to automatically update the state. We’ll illustrate with an example.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

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. Next, you test these use cases with the software chosen.

Metadata 64

Metadata Data Governance Dashboards Software 64

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

AWS Big Data

MAY 30, 2023

To make data-driven decisions in a timely manner, you need to account for missed records and backpressure, and maintain event ordering and integrity, especially if the reference data also changes rapidly. Under Instance configuration , for High Availability , choose Dev or test workload (Single-AZ). Choose Create replication instance.

Data Lake 98

Data Lake Data Analytics Analytics Data Processing 98

bridgei2i

JUNE 11, 2020

And this volatility is immediately mirrored in the demand in the Consumer Goods Products (CPG) industry, making it extremely difficult to predict demand, during uncertain events. BRIDGEi2i’s Digital Campaign Effectiveness WatchTower™ can be used to test various reach out strategies and optimize them. Major Challenges in CPG.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

AWS Big Data

NOVEMBER 1, 2023

Our pre-launch tests found that Amazon Redshift Multi-AZ deployments reduce recovery time to under 60 seconds or less in the unlikely case of an AZ failure. As shown in the below diagram, if there is an unlikely event that causes compute nodes in AZ1 to fail, then a multi-AZ deployment automatically recovers to use compute resources in AZ2.

Data Warehouse 105

Data Warehouse Snapshot Testing Management 105

AWS Big Data

AUGUST 16, 2023

On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON. Configure a test event with the default hello-world template event JSON. Provide an event name without any changes to the template and save the test event.

Data Lake 97

Data Lake Metadata Testing Snapshot 97