Smart Data Collective

FEBRUARY 1, 2023

You can’t even sleep uninterrupted without getting woken up every few hours for a test or a check-in. Referred to as the Internet of Things (IoT) these devices communicate directly with doctors or the patient themselves to provide up-to-the-minute health updates that can be lifesaving. You can’t eat without them bringing you food.

Data Analytics 118

Data Analytics Analytics Big Data Internet of Things 118

AWS Big Data

JANUARY 26, 2023

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Data Analytics 86

Data Analytics Analytics IoT Publishing 86

AWS Big Data

NOVEMBER 29, 2023

Approach for implementing metadata access controls To implement restricted catalog access, and ensure it worked with Talent Lake, we cloned our production data warehouse with all the schemas and enabled the metadata security flag in the Redshift data warehouse by connecting to SQL tools.

Metadata 103

Metadata Data Warehouse Analytics Data Analytics 103

DataKitchen

JUNE 12, 2023

Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. For example, just a few weeks ago, Microsoft announced data fabric, and John Kerski used it to frame up the discussion of how Microsoft data fabric supports DataOps principles.

Testing 130

Testing Data Lake Dashboards Data Science 130

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

NOVEMBER 17, 2023

dbt (DataBuildTool) offers this mechanism by introducing a well-structured framework for data analysis, transformation and orchestration. It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries.

Snapshot 91

Snapshot Data Processing Testing Data Warehouse 91

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Start with just a few critical tests and build gradually.

Testing 246

Testing Metrics Measurement Dashboards 246

Cloudera

DECEMBER 20, 2022

Within this group, we can find aspects such as improvements in the management and investigation of accidents at work as well as their prevention, or other aspects such as what is called “people analytics” in reference to the use of data analysis tools for management and decision-making in people management in the company.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

CIO Business Intelligence

FEBRUARY 9, 2024

The two new features, namely a testing center and the provision of prompt engineering suggestions, are the fruit of significant investment in the company’s AI engineering team, said Claire Cheng, vice president of machine learning and AI engineering at Salesforce. Additionally, the tool can pick the best option from the different iterations.

Testing 135

Testing Enterprise Modeling Machine Learning 135

AWS Big Data

MAY 30, 2023

Data lakes are not transactional by default; however, there are multiple open-source frameworks that enhance data lakes with ACID properties, providing a best of both worlds solution between transactional and non-transactional storage mechanisms. The reference data is continuously replicated from MySQL to DynamoDB through AWS DMS.

Data Lake 80

Data Lake Data Analytics Analytics Data Processing 80

DataKitchen

OCTOBER 28, 2021

We have the tools to create data analytics workflows that address AI bias. When our work processes for creating and monitoring analytics contain built-in controls against bias, data analytics organizations will no longer be dependent on individual social awareness or heroism. What Is AI Bias?

Testing 130

Testing IT Manufacturing Metrics 130

DataKitchen

NOVEMBER 20, 2021

Errors are an inherent part of data analytics. The product for a data engineer is the data set. For an analyst, the product is the analysis that they deliver for a data object. Many organizations take weeks to procure and prep data sets. A DataOps Engineer can make test data available on demand.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Data streaming workloads often require data in the stream to be enriched via external sources (such as databases or other data streams).

Testing 90

Testing Optimization Management Metadata 90

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

MAY 9, 2024

As data analytics use cases grow, factors of scalability and concurrency become crucial for businesses. Your analytic solution architecture should be able to handle large data volumes at high concurrency and without compromising speed, thereby delivering a scalable high-performance analytics environment.

Testing 79

Testing Cost-Benefit Optimization Reporting 79

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. Artificial Intelligence Analytics. Uncertain economic conditions. Applications of AI.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

APRIL 12, 2024

Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. Create a Kinesis data stream. Query the Snowflake table to validate the data loaded into Snowflake.

Data Architecture 93

Data Architecture IoT Internet of Things Recreation/Entertainment 93

AWS Big Data

MARCH 27, 2024

It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their business users.

Testing 100

Testing Data Warehouse Metrics Cost-Benefit 100

CIO Business Intelligence

FEBRUARY 12, 2024

As genAI caught fire in 2023, many organizations rushed to test and learn from the technology and harness it to grow productivity and improve processes. You’ll align desired near-term and future states to test-and-learn pilots as well as potential production projects. What does that vision look like?

IT 137

IT Consulting Cost-Benefit Uncertainty 137

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. For complete steps, refer to Creating a VPC for a data source connector.

Recreation/Entertainment 88

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 88

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows.

Metadata 105

Metadata Data Processing Management Testing 105

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Adding Tests to Reduce Stress.

Testing 152

Testing Metadata Dashboards Statistics 152

DataKitchen

MARCH 8, 2023

Manufacturing production errors refer to mistakes or defects that occur during the manufacturing process. These errors can significantly impact the final data product’s quality, reliability, and timeliness. The day-to-day production of data analytics is also a manufacturing process. No, you expect always to work.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Data streaming workloads often require data in the stream to be enriched via external sources (such as databases or other data streams).

Testing 52

Testing Optimization Management Metadata 52

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality is built on DeeQu , an open source tool developed and used at Amazon to calculate data quality metrics and verify data quality constraints and changes in the data distribution so you can focus on describing how data should look instead of implementing algorithms.

Data Quality 90

Data Quality Measurement Testing Visualization 90

AWS Big Data

APRIL 16, 2024

Refer to Amazon Managed Workflows for Apache Airflow Pricing for rates and more details. In the following test, we simulate a high load scenario, use the CloudWatch observability metrics to identify common problems, and make an informed decision to plan scaling to larger environments to mitigate the issues.

Metadata 97

Metadata Metrics Testing Management 97

Cloudera

OCTOBER 15, 2021

In fact, this gives Apache Ozone a significant performance advantage over other object stores in the data analytics ecosystem. Moreover, Ozone seamlessly integrates with Apache data analytics tools like Hive, Spark and Impala. We enabled Apache Ozone’s FSO feature for the benchmarking tests.

Testing 87

Testing Measurement Optimization Metadata 87

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 88

Data Processing Testing Data Lake Data Integration 88

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 130

Data-driven Software Manufacturing Big Data 130

AWS Big Data

APRIL 3, 2023

To learn about new options for database scripting, refer to Accelerate your data warehouse migration to Amazon Redshift – Part 4. For more details, refer to Auto Scaling groups , the Amazon EFT User Guide , and Integrating CodeDeploy with Amazon EC2 Auto Scaling. For more information, refer to Prerequisites.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

AWS Big Data

FEBRUARY 7, 2024

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone.

Dashboards 82

Dashboards Data Processing Metadata Consulting 82

AWS Big Data

MAY 18, 2023

In this post, we discuss the main benefits that this new AWS Glue version brings and how it can help you build better data integration pipelines. For more details, refer to Spark Release 3.3.0 These improvements allow for handling larger datasets by reading less data and processing it more efficiently. and Spark Release 3.2.0.

Testing 77

Testing Data Lake Cost-Benefit Data Integration 77

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. This benchmark uses unmodified TPC-DS data schema and table relationships. He has been focusing in the big data analytics space since 2014.

Metadata 91

Metadata Statistics Broadcasting Optimization 91

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator.

Management 105

Management Metadata Analytics Dashboards 105

DataKitchen

AUGUST 19, 2021

The separation of these data sets enables the teams to decouple their timing from each other. In figure 5, we see that each domain has its own domain update processing ( Recipes or data analytics pipelines), represented by a directed-acyclic graph (DAG). Another challenge is how to manage ordered data dependencies.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

AWS Big Data

MAY 16, 2024

Refer to Creating an Apache Airflow web login token for more details. To learn more about the Airflow REST API and its various endpoints, refer to the Airflow documentation. Trigger auto scaling programmatically After you configure auto scaling, you might want to test how it behaves under simulated conditions.

Testing 90

Testing Interactive Metrics Management 90