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.

Data Lake 119

Data Lake Metadata Statistics Optimization 119

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 74

Data Lake Testing Snapshot Sales 74

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable).

Data Lake 74

Data Lake Snapshot Optimization Data Transformation 74

Jet Global

SEPTEMBER 4, 2020

Its solution was to replicate data from the production database, using data entities, into a traditional relational database. Microsoft referred to this approach as “bring your own database” (BYOD). There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 87

Data Lake Data Warehouse Marketing Management 87

AWS Big Data

NOVEMBER 1, 2024

AWS is introducing general availability of fine-grained access control based on AWS Lake Formation for Amazon EMR Serverless on Amazon EMR 7.2. Enterprises can now significantly enhance their data governance and security frameworks. For instructions, refer to Create a data lake administrator.

Data Lake 85

Data Lake Interactive Finance Sales 85

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Compare ongoing data that is replicated from the source on-premises database to the target S3 data lake.

Data Quality 89

Data Quality Data Lake Data Warehouse Metrics 89

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 117

Optimization Snapshot Data Lake Metadata 117

AWS Big Data

NOVEMBER 14, 2024

Cloudformation template to implement the solution architecture For this post, we deliver sample JSON formatted telemetry messages to an API Gateway endpoint test interface to simulate the satellite-powered terminal device functionality. AWS Glue – The AWS Glue Data Catalog is your persistent technical metadata store in the AWS Cloud.

Data Lake 86

Data Lake Metadata Testing Data-driven 86

AWS Big Data

SEPTEMBER 4, 2024

This solution also allows you to update certain fields of the account object in the data lake and push it back to Salesforce. To achieve this, you create two ETL jobs using AWS Glue with the Salesforce connector, and create a transactional data lake on Amazon S3 using Apache Iceberg.

Data Integration 83

Data Integration Data Lake Data-driven Cost-Benefit 83

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ).

Snapshot 88

Snapshot Data Lake Testing Strategy 88

AWS Big Data

NOVEMBER 6, 2023

You can attach an EMR Studio Workspace to an EMR cluster, and use the compute power of the EMR cluster and run data science jobs on the cluster. Data is often stored in data lakes managed by AWS Lake Formation , enabling you to apply fine-grained access control through a simple grant or revoke mechanism.

Data Lake 100

Data Lake Sales Management Testing 100

AWS Big Data

MAY 29, 2024

Refer to Configure SAML and SCIM with Okta and IAM Identity Center for instructions. You need to reference the bucket name and the certificate bundle.zip file in AWS CloudFormation. Refer to the following table for a list of important parameters. In this post, we use the us-east-1 Region. In this post, we grant access to Group1.

Data Lake 88

Data Lake Enterprise Management Business Intelligence 88

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 83

Data Lake Finance Sales Management 83

DataKitchen

AUGUST 19, 2021

Figure 3 shows an example processing architecture with data flowing in from internal and external sources. Each data source is updated on its own schedule, for example, daily, weekly or monthly. The data scientists and analysts have what they need to build analytics for the user. The new Recipes run, and BOOM! Conclusion.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

DataKitchen

JUNE 12, 2023

I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science. Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. It’s Customer Journey for data analytic systems.

Testing 130

Testing Dashboards Data Lake Data Science 130

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality 97

Data Quality Data Governance Data Lake Testing 97

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 105

Data Lake Cost-Benefit Data-driven Data Warehouse 105

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 105

Data Lake Data Warehouse Testing Business Objectives 105

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data.

Snapshot 117

Snapshot Data Lake Metadata Recreation/Entertainment 117

AWS Big Data

FEBRUARY 7, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Apache Hudi supports ACID transactions and CRUD operations on a data lake. You don’t alter queries separately in the data lake.

Data Lake 74

Data Lake Testing Big Data Structured Data 74

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 90

Data Lake Big Data Consulting Data Warehouse 90

CIO Business Intelligence

NOVEMBER 11, 2024

Kakkar’s litmus test for pursuing a project depends on whether it has a clear purpose, goal, and measurable objectives. He points to data cleanliness as a major challenge in this workflow. Because when you are ingesting the data from your legacy system, you need to ensure the integrity of the data,” Kakkar says.

IoT 86

IoT Experimentation Dashboards Data Lake 86

AWS Big Data

AUGUST 5, 2024

This streamlines data discovery and access for our researchers and data scientists, enabling quick analysis of relevant data. Additionally, it will help physicians and patients gain deeper insights in combination with our clinical tests, ultimately improving patient outcomes.” Choose Add terms under GLOSSARY TERMS.

Metadata 59

Metadata Sales Data Lake Publishing 59

AWS Big Data

JUNE 8, 2023

For instructions, refer to Creating and managing Amazon OpenSearch Service domains. Choose Send test message and test to make sure you receive an alert on the PagerDuty service. This notification can be safely acknowledged and resolved from PagerDuty because this is was a test.

Data Lake 80

Data Lake Dashboards Metrics Testing 80

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 77

Data Lake Testing Interactive Unstructured Data 77

O'Reilly on Data

OCTOBER 19, 2021

We need robust versioning for data, models, code, and preferably even the internal state of applications—think Git on steroids to answer inevitable questions: What changed? The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner.

IT 352

IT Testing Experimentation Software 352

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

DataKitchen

OCTOBER 11, 2021

The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Figure 1: Example data pipeline with manual processes. There are no automated tests , so errors frequently pass through the pipeline. Figure 2: Example data pipeline with DataOps automation. Adding Tests to Reduce Stress.

Testing 154

Testing Metadata Dashboards Statistics 154

AWS Big Data

NOVEMBER 10, 2023

These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime. During feature development, data engineers require a seamless interface to the EDW. Previous solution process In the previous solution, product team data engineers spent 30 minutes per run to manually expose Redshift data to Spark.

Data Processing 99

Data Processing Data Lake Data Warehouse Optimization 99

AWS Big Data

MARCH 27, 2024

These services enable you to collect and analyze data in near real time and put a comprehensive data governance framework in place that uses granular access control to secure sensitive data from unauthorized users. To create an AWS HealthLake data store, refer to Getting started with AWS HealthLake.

Data Analytics 99

Data Analytics Analytics Data Warehouse Data Lake 99

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For IAM role , choose a Lake Formation user-defined role.

Management 96

Management Data Lake Sales Data Warehouse 96

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 105

Testing Data Warehouse Metrics Cost-Benefit 105

AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. For a complete guide on creating and providing a certificate, refer to Providing certificates for encrypting data in transit with Amazon EMR encryption.

Analytics 102

Analytics Data Lake Management Enterprise 102

AWS Big Data

MAY 18, 2023

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. For more details, refer to Spark Release 3.3.0 runtime ( 3.5

Testing 81

Testing Data Lake Cost-Benefit Data Integration 81

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 101

Data Warehouse Testing Data Lake Data-driven 101

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 92

Data Warehouse Data Lake Cost-Benefit Structured Data 92