AWS Big Data

JANUARY 24, 2024

As data lakes have grown in size and matured in usage, a significant amount of effort can be spent keeping the data consistent with business events. It will never remove files that are still required by a non-expired snapshot.

Snapshot 103

Snapshot Data Lake Metadata Optimization 103

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 97

Data Warehouse Snapshot Testing Management 97

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. In all the use cases we are trying to migrate a table named “events.”

Snapshot 70

Snapshot Metadata Data Warehouse Testing 70

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 115

Analytics IoT Data-driven Snapshot 115

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 102

Management Snapshot Broadcasting Optimization 102

IBM Big Data Hub

FEBRUARY 15, 2024

Logs Logs include discrete events recorded every time something occurs in the system, such as status or error messages, or transaction details. This means that organizations must rely on a tailored, cloud-native observability strategy and scrutinize every available data source within the system.

Metrics 68

Metrics Key Performance Indicator Snapshot KPI 68

AWS Big Data

JANUARY 24, 2023

The on-demand mode is a batch replication that takes a snapshot of the metadata at a specific point in time and uses it to synchronize the metadata. The on-demand mode of this utility is recommended for creating existing Lake Formation permissions and Data Catalogs because it replicates a snapshot of the metadata.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

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. Provide an event name without any changes to the template and save the test event. Provide an event name without any changes to the template and save the test event.

Data Lake 74

Data Lake Metadata Testing Snapshot 74

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 96

Snapshot Testing Metadata Management 96

Cloudera

NOVEMBER 15, 2022

Store files (Hfiles ) , on the other hand, is where user data is ultimately saved to serve any future client reads, and given HBase’s distributed sharding strategy for storing information Hfiles are typically spread over the following directory structure: /rootdir/data/namespace/table/region/cf. Snapshot cloning. HBCK2 support.

Snapshot 76

Snapshot Cost-Benefit Reporting IT 76

Sisense

JANUARY 6, 2020

So, partnering with analysts to model Salesforce data will give sales teams more confidence to predict the revenue that teams are going to close at the end of any given period, and identify behaviors and strategies that will be most effective. Daily snapshot of opportunities that’s derived from a table of opportunities’ histories.

Sales 91

Sales Forecasting Snapshot Management 91

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 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

FEBRUARY 1, 2023

Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. Lambda as AWS Glue ETL Trigger We enabled S3 event notifications on the S3 bucket to trigger Lambda, which further partitions our data. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 71

Modeling Sales Data Warehouse Snapshot 71

AWS Big Data

MARCH 20, 2023

Poshmark wanted to address the following business use cases via the real-time analytics platform: Sessionization – Poshmark captures both server-side application events and client-side tracking events. They wanted to use these events to identify and analyze user sessions to track behavior. The event data format is nested JSON.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 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

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). Iceberg offers a Merge On Read strategy to enable fast writes.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

MARCH 3, 2023

Every event in the data source can be relevant, and our customers don’t tolerate data loss, poor data quality, or discrepancies between the source and Tricentis Analytics. The main idea of this architecture is to be event-driven with eventual consistency. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MARCH 28, 2024

The inherent fault tolerance in PySpark and Amazon EMR promotes robustness, even in the event of node failures, making it a scalable, cost-effective, and high-performance choice for parallel data processing on AWS. In case of request failures, the Amazon SQS dead-letter queue (DLQ) retains the event.

Optimization 81

Optimization IT Big Data Data Processing 81

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. Can you tell me a bit more about your role at Protegrity? And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. Ongoing changes will be synced in near real time.

Data Warehouse 90

Data Warehouse Metrics Statistics Optimization 90

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. Open the function and configure a test event, with the default hello-world template event JSON as seen in the following screenshot.

Data Lake 73

Data Lake Testing Snapshot Sales 73

CDW Research Hub

MARCH 26, 2019

With the new backup strategy, all backups are now stored on-premises via Cohesity and AWS Glacier. 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.

Cost-Benefit 40

Cost-Benefit Snapshot Testing Interactive 40

AWS Big Data

FEBRUARY 9, 2023

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. Event-driven – Amazon AppFlow can subscribe and listen to change data capture (CDC) events from the source SaaS application.

Data Warehouse 78

Data Warehouse Data-driven Snapshot Testing 78

Cloudera

MAY 24, 2021

The age and hardware refresh cycle for legacy clusters is another important consideration when deciding on the in-place upgrade strategy. Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies.

Metadata 81

Metadata Testing Snapshot Strategy 81

AWS Big Data

JANUARY 17, 2024

Incremental query refers to a query strategy that focuses on processing and analyzing only the new or updated data within a data lake since the last query. The following are some highlighted steps: Run a snapshot query. %%sql Another popular transaction data lake use case is incremental query.

Data Lake 96

Data Lake Snapshot Big Data Data-driven 96

Jet Global

JULY 24, 2023

They have realigned their sales organizations and incentives to prioritize cloud sales, while consistently and effectively communicating their cloud strategy. According to a recent survey by the Harvard Business Review , 81% of respondents said cloud is very or extremely important to their company’s growth strategy. Privacy Policy.

Reporting 52

Reporting Operational Reporting Data Warehouse Enterprise 52

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. The transactional data from this website is loaded into an Aurora MySQL 3.03.1 (or

Data Warehouse 87

Data Warehouse Analytics Metrics Dashboards 87

Jet Global

NOVEMBER 14, 2022

That might be a sales performance dashboard for your Chief Revenue Officer, a snapshot of “days sales outstanding” (DSO) for the A/R collections team, or an item sales trend analysis for product management. The final step in an interactive EPM reporting strategy is to always be adapting. Step 6: Drill Into the Data. Privacy Policy.

Reporting 52

Reporting Sales Dashboards Metrics 52

Alation

AUGUST 26, 2021

Data Governance and Data Strategy. Today, enlightened governance leaders are realizing that governance can service a data strategy that plays both offense and defense. Source: “What’s Your Data Strategy?” AI and ML are used in concert to predict possible events and model outcomes. by Leandro DalleMule and Thomas H.

Metadata 64

Metadata Data Governance Dashboards Software 64

Cloudera

NOVEMBER 13, 2020

The commonly-accepted best practice in database system design for years is to use an exhaustive search strategy to consider all the possible variations of specific database operations in a query plan. Unlike most traditional SQL databases, Impala eschews these exhaustive search query optimization strategies to simplify query planning.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

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 71

IT Dashboards Digital Transformation Data-driven 71

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. To navigate this increasingly complex landscape, brought about by COVID-19, business leaders must take into account such fears and craft strategies accordingly.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

AWS Big Data

OCTOBER 18, 2023

You can access data with traditional, cloud-native, containerized, serverless web services or event-driven applications. Deselect Create final snapshot. Any hardware failures are automatically replaced. Amazon Redshift is simple to interact with. Select Delete the associated namespace.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

datapine

APRIL 11, 2019

In turn, this gripped listeners, immersing them in the narrative, thereby offering a platform to absorb a series of events in their mind’s eye precisely the way they unfolded. Rather than listing facts, figures, and statistics alone, people used gripping, imaginative timelines, bestowing raw data with real context and interpretation.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

AWS Big Data

MAY 19, 2023

Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy. As CloudTrail events are being logged, they are delivered as JSON files in Amazon S3, which aren’t ideal for analytical queries. AWS Glue ETL jobs may be one component in a more complex pipeline.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Unlike the old connector, the new version uses a snapshot of the DynamoDB table and doesn’t consume read capacity units of your source DynamoDB table.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82