O'Reilly on Data

MARCH 20, 2019

Inversion can also be an example of an “exploratory reverse-engineering” attack. exploration” or “sensitivity analysis”), surrogate model inversion, or by social engineering, how to game your model to receive their desired prediction outcome or to avoid an undesirable prediction. they can train their own surrogate model.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

DataKitchen

SEPTEMBER 20, 2021

Figure 2: The DataKitchen Platform helps you reduce time spent managing errors and executing manual processes from about half to 15%. The other 78% of their time is devoted to managing errors, manually executing production pipelines and other supporting activities. Manual Execution of Production. Source: DataKitchen.

Testing 246

Testing Metrics Measurement Dashboards 246

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ).

Snapshot 92

Snapshot Metadata Recreation/Entertainment Data Processing 92

AWS Big Data

NOVEMBER 19, 2024

In the first part of this series , we demonstrated how to implement an engine that uses the capabilities of AWS Lake Formation to integrate third-party applications. This engine was built using an AWS Lambda Python function. For simplicity, we use the Hosting with Amplify Console and Manual Deployment options.

Data Processing 92

Data Processing Metadata Publishing Testing 92

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. She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart.

Testing 152

Testing Metadata Dashboards Statistics 152

DataKitchen

AUGUST 27, 2021

Arguably the most agile and effective data analytics capability in the pharmaceutical industry was accomplished cost-effectively, with a data engineering team of seven and another 10-12 data analysts. Perhaps more importantly, data engineers and scientists may change any part of the automated pipelines related to data at any time.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

datapine

APRIL 15, 2020

Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Each method has its own set of features and scenarios where they can be implemented, with additional benefits such as saving countless hours and, therefore, costs. Choose the right BI software.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

NOVEMBER 27, 2019

Another feature that AI has on offer in BI solutions is the upscaled insights capability. Tools have started to develop artificial intelligence features that enable users to communicate with the software in plain language – the user types a question or request, and the AI generates the best possible answer.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

NOVEMBER 5, 2019

The vast majority of business dashboards offer a customizable interface, a host of interactive features, and empower the user to extract real-time data from a broad spectrum of sources. Often times, statistical analysis is done manually and takes a lot of business hours to complete and provide recommendations for the future.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

AWS Big Data

OCTOBER 23, 2024

If you prefer to manage your Amazon Redshift resources manually, you can create provisioned clusters for your data querying needs. Amazon Redshift has introduced a new feature called the Query profiler. Try this feature in your environment and share your feedback with us. For more information, refer to Amazon Redshift clusters.

Data Warehouse 100

Data Warehouse Metrics Broadcasting Dashboards 100

Domino Data Lab

JULY 15, 2021

While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. Often, coding has to be done manually, but the less this is required, the faster and more efficient the work will be.

Data Science 145

Data Science Visualization Enterprise Modeling 145

DataKitchen

AUGUST 16, 2024

Environment Management: This minimizes manual efforts by creating, maintaining, and optimizing pipeline deployment across different environments (development, testing, staging, production). It uses an infrastructure-as-code approach to consistently apply runtime conditions across all pipeline stages.

Marketing 124

Marketing Data Quality Testing Metadata 124

AWS Big Data

AUGUST 8, 2024

For example, a data engineer at a retail company established a rule that validates daily sales must exceed a 1-million-dollar threshold. The data engineer couldn’t update the rules to reflect the latest thresholds due to lack of notification and the effort required to manually analyze and update the rule.

Data Quality 115

Data Quality Statistics Visualization Metrics 115

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. New Quick Compare templates as part of the Complete Compare feature to compare and synchronize data models and sources.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

MARCH 5, 2020

Some (manual) reporting is possible. When engineers inspect the wind turbines, they record the results on paper forms. This manual, low-tech approach that relies on good penmanship equates to losing 10 days per year due to manual paperwork that delays necessary repairs; and work-order entry makes up about 25 percent of an admin’s day.

Digital Transformation 133

Digital Transformation Enterprise Management Modeling 133

Cloudera

NOVEMBER 12, 2021

As a product manager, I rank features in my backlog against: How much revenue will this help me get? How hard is it for engineering to build? Simplicity on the other hand often argues that we need to “take features away”, undoing a lot of the things that were hard fought for earlier. What is the impact on my support costs?

Software 98

Software Enterprise Snapshot IT 98

DataKitchen

MAY 10, 2021

This has a tremendous impact on data organizations in terms of restoring credibility, improving productivity and agility by eliminating unplanned work, and perhaps equally important, putting the fun back into data science and engineering. Manual testing is performed step-by-step, by a person. It’s not about data quality .

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

JULY 29, 2024

It addresses many of the shortcomings of traditional data lakes by providing features such as ACID transactions, schema evolution, row-level updates and deletes, and time travel. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient.

Metadata 125

Metadata Snapshot Data Lake Metrics 125

AWS Big Data

JULY 10, 2024

In this post, we show how to use this new feature to build a visual ETL job that preprocesses data to meet the business needs for an example use case, entirely within the AWS Glue Studio console, without the overhead of manual script coding. On the Visual tab, choose the plus sign to open the Add nodes menu.

Interactive 114

Interactive Visualization Data Integration Statistics 114

datapine

AUGUST 26, 2020

With dynamic features and a host of interactive insights, a business dashboard is the key to a more prosperous, intelligent business future. Primary KPIs: Number of Critical Bugs Reopened Tickets Accuracy of Estimates New Developed Features Team Attrition Rate. That’s where corporate dashboards come in. 2) CTO dashboard.

Dashboards 168

Dashboards Enterprise Visualization Data-driven 168

Laminar Security

SEPTEMBER 18, 2023

Have you thought of the potential security ramifications of manual database dumps or S3 replication? Overall automatic backups provided by the CSP’s are better than manual backups but even these should be used with great care. Manual backups, created at will by the user.

Risk 128

Risk Testing Data Governance Metadata 128

bridgei2i

AUGUST 2, 2020

Intelligent Operations: The engine behind Digital Transformation. In the post-COVID world, tasks requiring people gathering together in one location and manual processes such as physical verification of claim or printed copies of documents to be authenticated would be seriously called into question. Author: Prithvijit Roy.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. The repercussions of such incidents are multi-faceted.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

JULY 18, 2024

OpenSearch is an open source, distributed search engine suitable for a wide array of use-cases such as ecommerce search, enterprise search (content management search, document search, knowledge management search, and so on), site search, application search, and semantic search.

Dashboards 109

Dashboards Testing Data-driven Visualization 109

AWS Big Data

JULY 8, 2024

Apache Flink is an open source distributed processing engine, offering powerful programming interfaces for both stream and batch processing, with first-class support for stateful processing and event time semantics. In every Apache Flink release, there are exciting new experimental features. The new features added to Flink SQL in 1.19

Management 113

Management Dashboards Consulting Snapshot 113

AWS Big Data

AUGUST 23, 2023

In this post, we provide a review of all the exciting features releases in OpenSearch Service in the first half of 2023. Build powerful search solutions In this section, we discuss some of the features in OpenSearch Service that enable you to build powerful search solutions. of OpenSearch Project and supported in OpenSearch 2.5

Snapshot 98

Snapshot Dashboards Visualization Metrics 98

AWS Big Data

OCTOBER 3, 2023

But this approach requires you to implement the compaction job using your preferred job scheduler or manually triggering the compaction job. In this post, we discuss the new Iceberg feature that you can use to automatically compact small files while writing data into Iceberg tables using Spark on Amazon EMR or Amazon Athena.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

MARCH 29, 2024

The portal was a backend-for-frontend Java application, and the core engine was an in-house C++ in-memory database application that was also handling device connections, data ingestion, aggregation, and querying. By bundling all these functions together, the engine became difficult to manage and improve. V6 also lacked scalability.

Data-driven 110

Data-driven Cost-Benefit Metrics Management 110

AWS Big Data

MAY 23, 2024

Apache Flink is an open source distributed processing engine, offering powerful programming interfaces for both stream and batch processing, with first-class support for stateful processing and event time semantics. In this post, we explore in-place version upgrades, a new feature offered by Managed Service for Apache Flink.

Snapshot 109

Snapshot Management Testing Metrics 109

DataKitchen

JANUARY 19, 2022

Beyond this initial use case, DataKitchen further extends Matillion workflows and pipelines with additional DataOps features and functions. DataKitchen uses this capability to automate analytics deployment from development to production, saving significant manual effort. Enterprises live in a multi-tool, multi-language world.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Smart Data Collective

NOVEMBER 9, 2022

The main purpose of machine learning is to partially or completely replace manual testing. Machine learning algorithms use these sets of visual data to look for statistical patterns to identify which image features allow you to assume that it is worthy of a particular label or diagnosis. Indium Software.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

Cloudera

MAY 9, 2022

It has been observed across several migrations from CDH distributions to CDP Private Cloud that Hive on Tez queries tend to perform slower compared to older execution engines like MR or Spark. This is usually caused by differences in out-of-the-box tuning behavior between the different execution engines. Default Value = 256 MB [i.e

Optimization 118

Optimization Testing Cost-Benefit Measurement 118

IBM Big Data Hub

APRIL 15, 2024

They may use it to design a better way for operators to retrieve the correct information quickly and effectively from the vast repository of operating manuals, SOPs, logbooks, past incidents and more. IBM also developed an accelerator for context-aware feature engineering in the industrial domain.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

Cloudera

FEBRUARY 1, 2022

At some point, the teacher would undoubtedly pull out the big guns and blow our minds with the fact that every snowflake in the entire world for all of time is different and unique (people just love to oversell unimpressive snowflake features). . An explanation of extracting features with CNN’s and demonstration code. Launch the AMP.

Deep Learning 111

Deep Learning Machine Learning Modeling Data Science 111

Insight

MARCH 25, 2019

In this blog post, I discuss the design and implementation of kubeCDN , a tool designed to simplify geo-replication of Kubernetes clusters in order to deploy services with high availability on a global scale. No business wants to lose customers this way, but reducing this type of customer loss comes with several engineering challenges.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

IBM Big Data Hub

MAY 23, 2023

IBM Cloud Code Engine is a fully managed, serverless platform that runs your containerized workloads, including web apps, microservices, event-driven functions or batch jobs. Code Engine even builds container images for you from your source code. Prerequisites Appropriate permissions to use the IBM Cloud Code Engine service.

Data Processing 75

Data Processing Testing Management IT 75

IBM Big Data Hub

JULY 27, 2022

By replacing multiple manual IT operations tools with an intelligent, automated platform, AIOps enables IT operations teams to respond more quickly and proactively to slowdowns and outages, with less effort. The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93