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 93

Data Lake Data Warehouse Testing Business Objectives 93

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

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 80

Data Lake Big Data Consulting Data Warehouse 80

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 70

Data Lake Testing Big Data Structured Data 70

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 76

Data Lake Dashboards Metrics Testing 76

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 96

Testing Data Warehouse Metrics Cost-Benefit 96

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 72

Data Lake Testing Interactive Unstructured Data 72

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 131

Data Architecture Data Warehouse Statistics Visualization 131

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 89

Data Processing Data Lake Data Warehouse Optimization 89

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 85

Data Quality Measurement Testing Visualization 85

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 74

Testing Data Lake Cost-Benefit Data Integration 74

AWS Big Data

JULY 20, 2023

Also, Hive metastore provides flexible integration with many other open-source big data software like Apache HBase, Apache Spark, Presto, and Apache Impala. A metastore is a critical part of a data lake, and having this information available, wherever it resides, is important.

Data Lake 77

Data Lake Metadata Data Processing Big Data 77

AWS Big Data

AUGUST 22, 2023

You can create an AWS Cloud9 environment in one of the private subnets available in your AWS account to set up test data in Amazon RDS. Prerequisites For instructions to set up your environment for implementing the solution proposed in this post, refer to Deploy the application in the GitHub repo. modules, respectively.

Data Processing 84

Data Processing Testing Data Lake Data Integration 84

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 95

Data Warehouse Testing Data Lake Data-driven 95

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 98

Statistics Data Lake Optimization Data-driven 98

AWS Big Data

JANUARY 30, 2023

In our performance benchmark tests, derived from TPC-DS performance tests at 3 TB scale, we found the EMR runtime for Apache Spark 3.3.0 In this post, we analyze the results from our benchmark tests running a TPC-DS application on open-source Apache Spark and then on Amazon EMR 6.9, With Amazon EMR 6.9.0, provides a 3.5

Testing 65

Testing Data Lake Big Data Optimization 65

AWS Big Data

MARCH 6, 2024

For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR. Test the batch solution In the CloudFormation template deployed using the deploy_1.sh AWS Glue, and Athena.

Metrics 90

Metrics Statistics Testing Data Lake 90

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

APRIL 19, 2023

To configure AWS CLI interaction with AWS, refer to Quick setup. json ) to DynamoDB (for more information, refer to Write data to a table using the console or AWS CLI ): { "name": "step1.q", json ) to DynamoDB (for more information, refer to Write data to a table using the console or AWS CLI ): { "name": "step1.q",

Metadata 76

Metadata Testing Data Lake Consulting 76

AWS Big Data

JUNE 6, 2023

These are six main steps in the data pipeline: Amazon EventBridge triggers an AWS Lambda function when the event pattern for AWS Glue Data Quality matches the defined rule. For more information, refer to Working with Query Results, Output Files, and Query History. For S3 path , enter the S3 path to your data source. (

Data Quality 68

Data Quality Metrics Visualization Dashboards 68

AWS Big Data

FEBRUARY 8, 2023

Test the connection with SAP using the wheel file. For more information, refer to Download and Installation of NW RFC SDK. For instructions, refer to Configuration basics. For instructions, refer to Configuration basics. He is passionate about helping customers build modern data architecture on the AWS Cloud.

Testing 70

Testing Data Integration Data Lake Enterprise 70

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 68

Data Lake Testing Snapshot Sales 68

AWS Big Data

JUNE 28, 2023

Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Data analysts and data engineers can use familiar SQL commands to join data across several data sources for quick analysis, and store the results in Amazon S3 for subsequent use.

Analytics 66

Analytics Data Warehouse Data Lake Data-driven 66

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

NOVEMBER 17, 2023

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

Optimization 108

Optimization Statistics Metadata Data Lake 108

AWS Big Data

MARCH 27, 2023

This duplication not only adds time and effort for data engineers who may need to develop and test new scripts, but also creates data redundancy, making it more challenging to manage and secure the data, and increases storage cost. For more information on these settings, refer to Parameters.

Visualization 72

Visualization Data Lake Interactive Data-driven 72

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities.

Insurance 75

Insurance Data Lake Data-driven Management 75

AWS Big Data

FEBRUARY 6, 2023

For more details on how to configure and schedule the log collector, refer to the yarn-log-collector GitHub repo. For more information on how to use the YARN log organizer, refer to the yarn-log-organizer GitHub repo. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Dashboards 72

Dashboards Optimization Data Lake Cost-Benefit 72

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

Cloudera

FEBRUARY 12, 2024

Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. Please refer to the Microsoft documentation for detail.

Data Warehouse 52

Data Warehouse Machine Learning Data Lake Management 52

AWS Big Data

JULY 19, 2023

Prerequisites You need the following prerequisites: An account in Google Cloud and your data path in Google Cloud Storage. For instructions, refer to Create a service account key. For instructions, refer to Creating ETL jobs with AWS Glue Studio. The data is ingested into Amazon S3, as shown in the following screenshot.

Big Data 79

Big Data Software Consulting Unstructured Data 79

Jet Global

JANUARY 18, 2021

Overlaying refers to the process of inserting custom programming directly into Microsoft’s source code. Nevertheless, you should approach it in the same way that you would handle any other software development project–with appropriate plans for migrating and testing the resulting extensions. Review Third-Party Software.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

Jet Global

JANUARY 15, 2021

In this respect, we often hear references to “switching costs” and “stickiness.” Virtually every ERP implementation or upgrade requires substantial effort to design, build, or modify, and then to test reports. When the cost of switching to a new product is high, customers tend to remain where they are. Reporting as a Key Cost-driver.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

AWS Big Data

FEBRUARY 16, 2023

As a QuickSight administrator, you can use AWS CloudFormation templates to migrate assets between distinct environments from development, to test, to production. For more details, refer to Amazon QuickSight resource type reference. An Amazon Redshift cluster with sample data loaded. About the author Sandeep Bajwa is a Sr.

Data Warehouse 76

Data Warehouse Sales Visualization Data Processing 76

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. For more information on job tagging, refer to AWS tags in AWS Glue.

Reporting 66

Reporting Metrics Optimization Data Lake 66

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. For more information, refer to Retry Amazon S3 requests with EMRFS. availability.

Data Lake 80

Data Lake Snapshot Metadata Optimization 80