AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. This allows the model to adapt to the latest changes in price and availability. versions).

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 93

Data Warehouse Snapshot Testing Management 93

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Fault tolerance is built in. Any hardware failures are automatically replaced.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

AWS Big Data

MAY 30, 2023

resource(“dynamodb”) table = dynamodb.Table(dydb_lookup_table) response = table.scan() items = response[“Items”] jsondata = sc.parallelize(items) lookupDf = glueContext.read.json(jsondata) return lookupDf # Load the Amazon Kinesis data stream from Amazon Glue Data Catalog. def readDynamoDb(): dynamodb = boto3.resource(“dynamodb”)

Data Lake 78

Data Lake Data Analytics Analytics Data Processing 78

AWS Big Data

OCTOBER 20, 2023

You can have multiple internal applications such as databases, data warehouses, or other systems where DNS names are not publicly resolvable. You can now use MSK Connect to privately connect with databases, data warehouses, and other resources in your VPC to comply with your security needs.

Data Processing 85

Data Processing Snapshot Data Warehouse Management 85

AWS Big Data

JANUARY 24, 2023

Data migration must be performed separately using methods such as S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time. Nivas Shankar is a Principal Product Manager for AWS Lake Formation.

Data Architecture 65

Data Architecture Metadata Data Lake Snapshot 65

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

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. It definitely depends on the type of data, no one method is always better than the other.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Clustering data for better data colocation using z-ordering.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. 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 69

Data Lake Testing Snapshot Sales 69

AWS Big Data

MARCH 3, 2023

Any time new test cases or test results are created or modified, events trigger such that processing is immediate and new snapshot files are available via an API or data is pulled at the refresh frequency of the reporting or business intelligence (BI) tool. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

AUGUST 16, 2023

Time travel Time travel queries in Athena query Amazon S3 for historical data from a consistent snapshot as of a specified date and time. Version travel queries in Athena query Amazon S3 for historical data as of a specified snapshot ID. Karthikeyan Ramachandran is a Data Architect with AWS Professional Services.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes.

OLAP 93

OLAP Data Lake Data-driven Snapshot 93

Jet Global

NOVEMBER 3, 2022

Microsoft Excel offers flexibility, but it’s missing so many of the elements required to assemble data quickly and easily for powerful (and accurate) financial narratives. The reports created within static spreadsheets are based on a snapshot of reality, taken the moment the data was exported from ERP.

Finance 52

Finance Reporting Sales Dashboards 52

Jet Global

MAY 4, 2022

There is yet another problem with manual processes: the resulting reports only reflect a snapshot in time. As soon as you export data from your ERP software or other business systems, it’s obsolete.

Reporting 52

Reporting Finance Software Consulting 52

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. With the CXO Data Warehouse Adapter, you can access ERP data, planning and budgeting numbers, or external information.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

OCTOBER 27, 2022

And that is only a snapshot of the benefits your finance users will enjoy with Angles for Deltek. Angles has been effective to providing us real-time financial and operational data that otherwise we would have to manually parse together. Tools to configure custom views for the remaining 20% of your team’s operational reporting needs.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

MAY 25, 2022

Every time you do an export from your ERP system, you’re taking a snapshot of the data that only reflects a single moment in time. A static (therefore outdated) view of the business : Another major problem with manual processes is that they don’t reflect what’s happening in the business in real time.

Reporting 52

Reporting Finance Software Snapshot 52

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. Perhaps just as importantly, they lead to a time delay between the moment something happens in the business and the time it shows up on a report. Manual Processes Are Prone to Errors.

Finance 52

Finance Reporting Sales Software 52

Jet Global

MAY 2, 2022

The source data in this scenario represents a snapshot of the information in your ERP system. Researching that question requires substantial additional effort if your organization uses manual planning and budgeting processes. It’s not updated when someone records new transactions, and you can’t drill down to the details.

Sales 52

Sales Finance Reporting Software 52