Smart Data Collective

APRIL 29, 2020

What is data management? Data management can be defined in many ways. Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data transformation. Data analytics and visualisation.

Management 97

Management Data Warehouse Digital Transformation Dashboards 97

AWS Big Data

APRIL 26, 2023

The Cloud Data Hub processes and combines anonymized data from vehicle sensors and other sources across the enterprise to make it easily accessible for internal teams creating customer-facing and internal applications. To learn more about the Cloud Data Hub, refer to BMW Group Uses AWS-Based Data Lake to Unlock the Power of Data.

Forecasting 144

Forecasting Manufacturing Data Lake Big Data 144

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For more information on how to connect to a database, refer to tDBConnection.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

APRIL 2, 2024

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

Metadata 111

Metadata Marketing Analytics Data Transformation 111

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Factory. Azure Data Explorer. Azure Synapse Analytics. Azure Databricks.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

OCTOBER 11, 2023

For more information, refer to Delivering Consumer-friendly Healthcare Transparency in Coverage On AWS. The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The tables are written to a database, which acts as a container.

Visualization 119

Visualization Dashboards Data-driven Gap analysis 119

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. Generated jobs can use a variety of data transformations, including filter, project, union, join, and custom user-supplied SQL.

Data Integration 128

Data Integration Data Lake Data Warehouse Software 128

AWS Big Data

AUGUST 19, 2024

Refer to Enabling AWS PrivateLink in the Snowflake documentation to verify the steps, required access level, and service level to set the configurations. For Data sources , search for and select Snowflake. To obtain the Snowflake PrivateLink account URL, refer to parameters obtained in the prerequisites. Choose Next.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

AWS Big Data

AUGUST 1, 2023

For full instructions, refer to Jira Cloud connector for Amazon AppFlow. You can do this by updating the CloudFormation stack with a flag that includes the CDC and data transformation steps. This will enable both the CDC steps and the data transformation steps for the Jira data. Choose Update.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

AWS Big Data

AUGUST 6, 2024

Example data The following code shows an example of raw order data from the stream: Record1: { "orderID":"101", "email":" john. To address the challenges with the raw data, we can implement a comprehensive data transformation process using Redshift ML integrated with an LLM in an ETL workflow.

Data Warehouse 103

Data Warehouse Data-driven Modeling Internet of Things 103

AWS Big Data

MAY 3, 2023

The key requirements for SOCAR included achieving maximum performance for real-time data analytics, which required storing data in an in-memory data store. After careful consideration, ElastiCache for Redis was selected as the optimal solution due to its ability to handle complex data aggregation rules with ease.

IoT 111

IoT Internet of Things Data Transformation Management 111

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. This automated approach reduces the need for manual intervention and streamlines the data quality evaluation process.

Data Quality 97

Data Quality Metrics Data-driven Visualization 97

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches.

Analytics 122

Analytics IoT Metadata Internet of Things 122

AWS Big Data

OCTOBER 31, 2023

citibike-tripdata-destination-ACCOUNT_ID – The bucket used for storing the transformed dataset. When implementing the solution in this post, replace references to airflow-blog-bucket-ACCOUNT_ID and citibike-tripdata-destination-ACCOUNT_ID with the names of your own S3 buckets. Run the DAG Let’s look at how to run the DAGs.

Data Processing 111

Data Processing Management Publishing Visualization 111

AWS Big Data

DECEMBER 21, 2023

For setup instructions, refer to Getting started with Amazon OpenSearch Service. Conclusion The integration of AWS Glue with OpenSearch Service adds the powerful ability to perform data transformation when integrating with OpenSearch Service for analytics use cases.

Analytics 111

Analytics IT Data Lake Visualization 111

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Big data analytics case study: SkullCandy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

NOVEMBER 13, 2023

The downstream consumers consist of business intelligence (BI) tools, with multiple data science and data analytics teams having their own WLM queues with appropriate priority values. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

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 98

Data Lake Dashboards Metrics Metadata 98

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. For an example, refer to How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform. Platform architects define a well-architected platform.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

JULY 31, 2023

AWS DMS enables us to capture deltas, including deletes from the source database, through the use of Change Data Capture (CDC) configuration. CDC in DMS enables us to capture deltas without writing code and without missing any changes, which is critical for the integrity of the data. Under Transforms , choose SQL Query.

Sales 52

Sales Data Warehouse Visualization Testing 52

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Alation

NOVEMBER 22, 2022

It should also give data analysts and scientists the ability to locate, understand, trust, and use data efficiently. For agencies to collaborate, they need a storage option that provides the scalability and flexibility needed for data analytics. Gain visibility into data history. Improve data visibility.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. We also share case studies to show you the benefits of using the tool.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Jet Global

MAY 1, 2023

that gathers data from many sources. Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

JANUARY 29, 2025

times more performant than Apache Spark 3.5.1), and ease of Amazon EMR with the control and proximity of your data center, empowering enterprises to meet stringent regulatory and operational requirements while unlocking new data processing possibilities. This method is ideal for recurring tasks or large-scale data transformations.

Big Data 89

Big Data Data Analytics Analytics Interactive 89

AWS Big Data

DECEMBER 17, 2024

dbt provides a SQL-first templating engine for repeatable and extensible data transformations, including a data tests feature, which allows verifying data models and tables against expected rules and conditions using SQL.

Data Quality 90

Data Quality Testing Metrics Optimization 90

AWS Big Data

APRIL 30, 2025

Data engineers and analysts often need to automate their data processing workflows and queries to maintain up-to-date data pipelines and reports. Amazon SageMaker Unified Studio provides a unified environment for data, analytics, machine learning (ML), and AI workloads. Choose your visual ETL flow.

Visualization 73

Visualization Software Machine Learning Reporting 73

AWS Big Data

FEBRUARY 18, 2025

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

Snapshot 79

Snapshot Optimization Data Lake Metadata 79

AWS Big Data

FEBRUARY 25, 2025

If data mapping has been enabled within the data processing job, then the structured data is prepared based on the given schema. This output is passed to next phase where data transformations and business validations can be applied. After this step, data is loaded to specified target.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

DataKitchen

JANUARY 23, 2023

It is important to have additional tools and processes in place to understand the impact of data errors and to minimize their effect on the data pipeline and downstream systems. These operations can include data movement, validation, cleaning, transformation, aggregation, analysis, and more.

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

NOVEMBER 14, 2024

We use the built-in features of Data Firehose, including AWS Lambda for necessary data transformation and Amazon Simple Notification Service (Amazon SNS) for near real-time alerts. For more information, refer to Amazon Kinesis Data Firehose now supports zero buffering.

Data Lake 105

Data Lake Metadata Testing Data-driven 105