O'Reilly on Data

OCTOBER 19, 2021

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. However, none of these layers help with modeling and optimization. We cannot expect data scientists to write modeling frameworks like PyTorch or optimizers like Adam from scratch!

IT 350

IT Testing Experimentation Software 350

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

Optimization 128

Optimization Testing Data-driven Strategy 128

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

Optimization 130

Optimization Statistics Metadata Data Lake 130

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric.

Marketing 363

Marketing Experimentation Metrics Testing 363

AWS Big Data

DECEMBER 17, 2024

Conduct data quality tests on anonymized data in compliance with data policies Conduct data quality tests to quickly identify and address data quality issues, maintaining high-quality data at all times. The challenge Data quality tests require performing 1,300 tests on 10 TB of data monthly.

Data Quality 86

Data Quality Testing Metrics Optimization 86

AWS Big Data

JUNE 3, 2024

Let’s look at a few tests we performed in a stream with two shards to illustrate various scenarios. In the first test, we ran a producer to write batches of 30 records, each being 100 KB, using the PutRecords API. For our test scenario, we can only see each key being used one time because we used a new UUID for each record.

Optimization 126

Optimization Metrics Data Processing Testing 126

AWS Big Data

AUGUST 7, 2024

In this post, we examine the OR1 instance type, an OpenSearch optimized instance introduced on November 29, 2023. For this post, we’re going to consider an indexing-heavy workload and do some performance testing. OR1 is an instance type for Amazon OpenSearch Service that provides a cost-effective way to store large amounts of data.

Optimization 113

Optimization Testing Management IT 113

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. This involves setting up automated, column-by-column quality tests to quickly identify deviations from expected values and catch emerging issues before they impact downstream layers.

Data Quality 204

Data Quality Testing Metrics Reporting 204

AWS Big Data

JULY 11, 2024

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1) , deliver price-performance improvement over existing instances. For more details about OR1 instances, refer to Amazon OpenSearch Service Under the Hood: OpenSearch Optimized Instances (OR1). OR1 instances use a local and a remote store.

Optimization 114

Optimization Metrics Data Processing Snapshot 114

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. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

JUNE 21, 2024

Strategies to Optimize Teams for AI and Cybersecurity 1. They are excellent for learning new skills, testing existing ones, and keeping up with the latest cybersecurity and AI technologies. These events challenge participants to solve complex problems with innovative solutions, often under time constraints.

Optimization 122

Optimization Gap analysis Strategy Data-driven 122

AWS Big Data

SEPTEMBER 10, 2024

With the launch of Amazon Redshift Serverless and the various provisioned instance deployment options , customers are looking for tools that help them determine the most optimal data warehouse configuration to support their Amazon Redshift workloads. Amazon Redshift is a widely used, fully managed, petabyte-scale data warehouse service.

Testing 111

Testing Snapshot Data Warehouse Metrics 111

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Your Chance: Want to test a professional logistics analytics software? A testament to the rising role of optimization in logistics.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

JANUARY 9, 2024

They had bugs, particularly if they were optimizing your code (were optimizing compilers a forerunner of AI?). We still rely on humans to test and fix the errors. How do you understand what the program is doing if it’s a different program each time you generate and test it? The process isn’t repeatable.

Modeling 288

Modeling Software Testing Optimization 288

Analytics Vidhya

DECEMBER 11, 2023

We will also learn ways to analyze and optimize algorithms using straightforward […] The post Mastering Algorithm Efficiency appeared first on Analytics Vidhya. Algorithm efficiency isn’t just for computer scientists; it’s for anyone who writes code.

Measurement 305

Measurement Optimization Technology Analytics 305

DataKitchen

DECEMBER 9, 2024

data quality tests every day to support a cast of analysts and customers. DataKitchen loaded this data and implemented data tests to ensure integrity and data quality via statistical process control (SPC) from day one. The numbers speak for themselves: working towards the launch, an average of 1.5

Data Quality 173

Data Quality Data Lake Testing Statistics 173

datapine

APRIL 13, 2021

Your Chance: Want to test a powerful agency analytics software? By using reports internally, the different teams can stay connected with each other and optimize processes that will make the work in your organization smooth and effective. Your Chance: Want to test a powerful agency analytics software? What Are Agency Analytics?

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

AWS Big Data

MARCH 19, 2024

In this post, we will discuss two strategies to scale AWS Glue jobs: Optimizing the IP address consumption by right-sizing Data Processing Units (DPUs), using the Auto Scaling feature of AWS Glue, and fine-tuning of the jobs. Now let us look at the first solution that explains optimizing the AWS Glue IP address consumption.

Optimization 115

Optimization Data-driven Management Testing 115

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Whether you’re looking at consumer management dashboards and reports, every CRM dashboard template you use should be optimal in terms of design.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

O'Reilly on Data

JUNE 15, 2023

The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them. And they are stress testing and “ red teaming ” them to uncover vulnerabilities. But exactly how this stress testing, post processing, and hardening works—or doesn’t—is mostly invisible to regulators.

Metrics 289

Metrics Reporting Measurement Finance 289

O'Reilly on Data

FEBRUARY 16, 2023

That’s what beta tests are for. You can train models that are optimized to be correct—but that’s a different kind of model. Will it take weeks, months, or years to iron out the problems with Microsoft’s and Google’s beta tests? So it’s not surprising that things are wrong. What are the next steps?

Testing 217

Testing Statistics Modeling Optimization 217

KDnuggets

DECEMBER 5, 2023

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

Statistics 146

Statistics Testing Optimization Machine Learning 146

O'Reilly on Data

JUNE 7, 2022

We have a lot of vague notions about the Turing test, but in the final analysis, Turing wasn’t offering a definition of machine intelligence; he was probing the question of what human intelligence means. And granted, a lot can be done to optimize training (and DeepMind has done a lot of work on models that require less energy).

Modeling 363

Modeling Interactive Optimization Deep Learning 363

DataKitchen

NOVEMBER 4, 2021

The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. These limited-term databases can be generated as needed from automated recipes (orchestrated pipelines and qualification tests) stored and managed within the process hub. . When the tests pass, the orchestration admits the data to a data catalog.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes.

Testing 182

Testing Data Quality Predictive Modeling Metrics 182

DataKitchen

AUGUST 16, 2024

Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata. This capability includes monitoring, logging, and business-rule detection.

Marketing 133

Marketing Data Quality Testing Metadata 133

DataKitchen

AUGUST 19, 2021

For each domain, one would want to know that a build was completed, that tests were applied and passed, and that data flowing through the system is correct. One challenge is that each domain team can choose a different toolset that complicates multi-level orchestration, testing and monitoring. Figure 5: Domain layer processing steps.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

O'Reilly on Data

SEPTEMBER 19, 2023

You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware. A number of scholars have tested this shuffle-and-recombine-till-we-find-a-winner approach on timetable scheduling. Specifically, through simulation.

Machine Learning 253

Machine Learning Testing Modeling Cost-Benefit 253

DataKitchen

NOVEMBER 18, 2021

The data analytics lifecycle is a factory, and like other factories, it can be optimized with techniques borrowed from methods like lean manufacturing. Write tests that catch data errors. To avoid errors and outages, fearful engineers give each analytics project a more extended development and test schedule.

Testing 246

Testing Data Governance Measurement Software 246

AWS Big Data

JUNE 21, 2024

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime that is 100% API compatible with open source Apache Spark. Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , and Amazon EMR on AWS Outposts all use this optimized runtime, which is 4.5 times faster than Apache Spark 3.5.1 and EMR 7.1.

Cost-Benefit 118

Cost-Benefit Testing Optimization Statistics 118