AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data.

Analytics 55

Analytics Data Lake Testing Optimization 55

CIO Business Intelligence

JUNE 1, 2022

The concept of a time crystal was first offered in 2012 by Frank Wilczek, a theoretical physicist, mathematician, and Nobel laureate. . Dell’s updated PowerStore offering aims to deliver up to a 50% mixed-workload performance boost and up to 66% greater capacity, based on internal tests conducted in March 2022. .

Deep Learning 88

Deep Learning Snapshot Optimization Data Quality 88

datapine

MARCH 21, 2023

Your Chance: Want to test modern data visualization software for free? Combined, these visuals make it possible to extract valuable conclusions regarding the performance of each month and how it can be optimized to achieve better results. Your Chance: Want to test modern data visualization software for free?

Visualization 174

Visualization Sales KPI Dashboards 174

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Code creation: Code co-pilot, code conversion, create technical documentation, test cases and more. Why IBM Consulting for generative AI on AWS?

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can test this solution yourself using the AWS Samples GitHub repository. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. detail.EventType TrackerName: $.detail.TrackerName

Analytics 92

Analytics IoT Metadata Internet of Things 92

AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. If not, create a S3 bucket to store the Spark SQL code, which will be run by Amazon EMR.

Metadata 78

Metadata Testing Data Lake Consulting 78

AWS Big Data

APRIL 20, 2023

We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. After the job run completes successfully, you can verify the output of the table test-glue created by the AWS Glue job. This optimization results in required data being retrieved, so Apache Spark can process less data and have better performance.

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

Howard Dresner

AUGUST 27, 2013

Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “cool stuff” among consumers and the easy-to-consume info in mobile apps could end up increasing trust and thus lead to less testing and faster releases.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

Hurwitz & Associates

SEPTEMBER 21, 2018

New projects announced at VMworld included Project Dimension and Project Magna, Both projects were demonstrated at VMworld as working beta programs, but they are in the final stages of testing before going into production. Project Magna is a VMware technology preview that leverages AI/ML to self-optimize virtual infrastructure.

Software 40

Software IT Strategy IoT 40

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. It should be noted that inverse probability weighting is not generally optimal (i.e., the curse of dimensionality).

Statistics 44

Statistics Optimization Modeling Experimentation 44

O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. 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. Those algorithms packaged with scikit-learn?

Machine Learning 245

Machine Learning Modeling Testing Cost-Benefit 245

AWS Big Data

MARCH 11, 2024

The trust policy should look like the following code: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "sts:AssumeRole", "Principal": { "AWS": "arn:aws:iam::9876543210:role/MyRedshiftRole" } } ] } Sign in to the Amazon Redshift console as account A.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

SEPTEMBER 6, 2023

For testing, this post includes a sample AWS Cloud Development Kit (AWS CDK) application. The following sections take you through the steps to deploy, test, and observe the example application. With AWS X-Ray, you can trace the entire application, which is useful to identify bottlenecks when load testing.

Testing 95

Testing Metadata Cost-Benefit Management 95

AWS Big Data

AUGUST 31, 2023

For optimal performance, partitions should be distributed across many compute units for parallel processing. However, when the number of partitions is greater than the number of consumers, Amazon MSK will host multiple partitions on every consumer.

Testing 105

Testing Data Processing Dashboards Management 105

Occam's Razor

OCTOBER 15, 2012

The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration. What you see is for 2012. Drive overall business outcomes by combining online and offline consumer touch points optimally. The Analysis: Four Insightful Options. We don't.

Advertising 136

Advertising Marketing Strategy Insurance 136

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case.

Machine Learning 122

Machine Learning Visualization Data Science Metrics 122

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. So what do you have? Almost no pimping.

Marketing 147

Marketing Advertising Strategy Optimization 147

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. He then moved to Capgemini as a consultant in 2008 before joining Hindustan Unilever in 2012. December 2021. Airtel CISO Manish Tiwari joins Fractal as CIO. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. If you’re testing on a different Amazon MWAA version, update the requirements file accordingly.

Data Processing 88

Data Processing Management Publishing Testing 88

IBM Big Data Hub

MARCH 29, 2024

Here, we dissect those differences and discuss how businesses can use REST and GraphQL APIs to optimize their networks. GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. However, they differ significantly in how they manage data traffic.

Interactive 78

Interactive Digital Transformation Management Optimization 78

Insight

DECEMBER 18, 2019

In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC. Each variant is called an “optimizer.” the cost function).

Optimization 85

Optimization Machine Learning Testing Visualization 85

Domino Data Lab

APRIL 21, 2021

This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set." Fraudulent transactions are 0.17% of the test set. 2f%% of the test set." Fraudulent transactions are 50.00% of the test set. Feature Engineering. 2f%% of the training set."

Statistics 69

Statistics Machine Learning Modeling Metrics 69

O'Reilly on Data

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software IT 246

AWS Big Data

OCTOBER 23, 2023

Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. With support in Athena for Apache Spark, you can use both Spark SQL and PySpark in a single notebook to generate application insights or build models.

Data Lake 100

Data Lake Visualization Optimization Interactive 100

Smart Data Collective

APRIL 20, 2023

In 2012, we wrote this article on using big data for market research , which you may want to look at. doing this, you can refine your strategy and optimize your content in order to achieve better results. In this way, you can produce engaging, relevant, and valuable content.

Marketing 78

Marketing Strategy ROI Big Data 78

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. At the end of a recent keynote recently the first question to me was: "Sure you can optimize the page and campaign based on clicks and on amount donated. A/B testing! Stop switching tools!

Analytics 120

Analytics Measurement Data-driven Optimization 120

The Unofficial Google Data Science Blog

MARCH 31, 2016

both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). On each of the ten segments the random effects model yielded higher test-set log likelihoods and AUCs, and we display the results in the figure below. Large-scale inference: empirical Bayes methods for estimation, testing, and prediction."

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

MARCH 3, 2019

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. Even so, it’s likely that reproducibility and hyperparameter optimization are problems which tend to show up after the earlier issues have been resolved and when there are larger, more complex ML projects underway.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. Greg Rahn: For lack of a better description, “Hadoop aware or optimized”, tends to result in a better experience with the platform. You have your pre-production zones, your production zones, and you test out different scenarios, but there are many ways to do that.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. A catalog or a database that lists models, including when they were tested, trained, and deployed. Use ML to unlock new data types—e.g., images, audio, video.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Domino Data Lab

SEPTEMBER 25, 2019

Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 Figuring out the correct number of diffs can be a tiresome process.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

CIO Business Intelligence

FEBRUARY 3, 2023

The company also has systems optimized for industries such as supply chain management ( TradeEdge ) or banking. IBM Cloud Pak for Business Automation , for example, provides a low-code studio for testing and developing automation strategies. The document processing system, XtractEdge, for instance, offers OCR to speed form processing.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 61

Experimentation Testing Statistics Metrics 61