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 111

Snapshot Data Lake Metadata Recreation/Entertainment 111

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 97

Data Lake Data Warehouse Testing Business Objectives 97

AWS Big Data

JULY 20, 2023

Because Apache Hive was built on top of Apache Hadoop, many organizations have been using the software from the time they have been using Hadoop for big data processing. Also, Hive metastore provides flexible integration with many other open-source big data software like Apache HBase, Apache Spark, Presto, and Apache Impala.

Data Lake 77

Data Lake Metadata Data Processing Big Data 77

AWS Big Data

MARCH 6, 2024

Amazon EMR empowers you to create, operate, and scale big data frameworks such as Apache Spark quickly and cost-effectively. 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.

Metrics 93

Metrics Statistics Testing Data Lake 93

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 88

Data Quality Measurement Testing Visualization 88

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 75

Testing Data Lake Cost-Benefit Data Integration 75

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 98

Testing Data Warehouse Metrics Cost-Benefit 98

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 85

Data Processing Testing Data Lake Data Integration 85

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 73

Data Lake Testing Interactive Unstructured Data 73

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 91

Data Processing Data Lake Data Warehouse Optimization 91

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 66

Testing Data Lake Big Data Optimization 66

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 67

Optimization Data Lake Cost-Benefit Reporting 67

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 69

Data Quality Metrics Visualization Dashboards 69

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 97

Data Warehouse Testing Data Lake Data-driven 97

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 90

Data Lake Data Processing Metadata Snapshot 90

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. 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",

Metadata 77

Metadata Testing Data Lake Consulting 77

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. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture.

Dashboards 73

Dashboards Optimization Data Lake Cost-Benefit 73

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 80

Big Data Software Consulting Unstructured Data 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 112

Optimization Statistics Metadata Data Lake 112

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 101

Statistics Data Lake Optimization Data-driven 101

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. Deenbandhu Prasad is a Senior Analytics Specialist at AWS, specializing in big data services.

Testing 73

Testing Data Integration Data Lake Enterprise 73

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. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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 67

Analytics Data Warehouse Data Lake Data-driven 67

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 70

Data Lake Testing Snapshot Sales 70

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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

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 73

Visualization Data Lake Interactive Data-driven 73

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 76

Insurance Data Lake Data-driven Management 76

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 77

Data Warehouse Sales Visualization Data Processing 77

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 67

Reporting Metrics Optimization Data Lake 67

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. To see how to manage redshift cluster security group, refer Managing VPC security groups for a cluster.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

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 113

Data Lake Metadata Optimization Statistics 113

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 93

Data Lake Sales Management Testing 93

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 81

Data Lake Snapshot Metadata Optimization 81

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 84

Data Lake Data Warehouse Marketing Management 84

IBM Big Data Hub

JULY 7, 2023

Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle. Dispose of old computers and records securely.

Risk 40

Risk Data Governance Data Lake Data-driven 40

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 82

Snapshot Data Lake Testing Strategy 82