Cloudera

DECEMBER 14, 2021

They created a system to spread data across several servers with GPU-based processing so large datasets could be managed more effectively across the board. . LG Uplus , a South Korean telecommunications service provider, had just launched the world’s first 5G service in April 2019 but was struggling to commercialize it.

Transportation 106

Transportation Telecommunication Banking Data Lake 106

U-Next

OCTOBER 4, 2022

Capital One Hack Of 2019 . In March 2019, a configuration vulnerability of a web app firewall was exploited by a hacker, leading to a server access gain. This translates to the fact that any user with a basic understanding of IP functions can access leaked datasets. Final Thoughts .

Media 52

Media Datasets Accessible Accessibility 52

Cloudera

JANUARY 26, 2022

The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. At the time, the architecture typically included two tiers, where cloud providers hosted the backend and clients sent their requests via web applications. . In 2008, Cloudera was born.

Cloud 82

Cloud Cloud Computing Hadoop Data Warehouse 82

Knowledge Hut

OCTOBER 4, 2023

Windows Server 2019 Data Centre, server 2019 standard, server 2016 standard, server 2016 datacenter. Database SQL database Access database Oracle database IBM Netezza MySQL database Sybase database Power Platform Power BI dataset Dataflows 4. Below are the Power BI requirements for the system.

BI 52

BI Systems Raw Data Business Intelligence 52

Knowledge Hut

MARCH 22, 2024

ChatGPT has been trained on a massive dataset of text and code, allowing it to understand complex sentences, identify patterns, and generate responses that are both relevant and coherent. Building upon this success, OpenAI introduced GPT-2 in 2019, featuring a larger model size and improved performance.

Education 52

Education Data Analysis Coding Datasets 52

Cloudera

DECEMBER 11, 2020

That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. It may not replace previous datasets, but alternative data offers another perspective to round out the historical information about an individual customer or business. .

Insurance 91

Insurance Unstructured Data Finance Machine Learning 91

AltexSoft

AUGUST 18, 2021

Preparing airfare datasets. Read our article Preparing Your Dataset for Machine Learning to avoid common mistakes and handle your information properly. Public datasets. There are also free datasets — for instance, Flight Fare Prediction on Kaggle. Flight dataset structure. The section of the Kaggle dataset.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Monte Carlo

MARCH 18, 2024

With the right deficiencies in logic, a bad actor could easily engineer a prompt to track down any individual using the data stored in that dataset. There’s no time like the present The need for greater data reliability and trust is the very same challenge that inspired our team to create the data observability category in 2019.

Building 64

Building Healthcare Data Database 64

Rockset

JUNE 17, 2021

In 2019, Facebook built a spam fighting engine that was responsible for taking down 6.6B Third-party datasets enrich the customer profile. Netflix has built content recommendation algorithms that are responsible for 80% of the content streamed on their platform, saving the company $1B annually ( Dataconomy ).

Data Lake 40

Data Lake Architecture Data Preparation Database 40

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. As per a 2020 report by DICE, data engineer is the fastest-growing job role and witnessed 50% annual growth in 2019. as they effectively summarise and label the data.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JULY 27, 2023

They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. 2019 $85,000 $40.88 +1.8% An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Cloudera

NOVEMBER 15, 2021

It aims to protect AI stakeholders from the effects of biased, compromised or skewed datasets. There are also proposals to move beyond bias-oriented framings of ethical AI, like the above, and towards a power-aware analysis of datasets used to train AI systems. Data scrutiny. Data fairness is one of the dimensions of ethical AI.

Unstructured Data 85

Unstructured Data Pipeline-centric Database-centric Entertainment 85

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

U-Next

SEPTEMBER 13, 2022

billion in 2019 to $230.80 Especially when dealing with larger datasets, data analysis cannot be performed on the entire volume of data at once. While doing this, it is imperative to carefully select sample data from the enormous data collection that accurately reflects the complete dataset. . billion by 2026.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

KDnuggets

OCTOBER 21, 2019

One way to process data faster and more efficiently is to detect abnormal events, changes or shifts in datasets. Anomaly detection refers to identification of items or events that do not conform to an expected pattern or to other items in a dataset that are usually undetectable by a human expert.

Machine Learning 100

Machine Learning Datasets Process Data 100

KDnuggets

DECEMBER 5, 2019

Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.

Datasets 120

Datasets Data Coding Process 120

ProjectPro

JUNE 26, 2021

Must be able to draw insightful conclusions from the dataset and present them in an organized manner. By extracting features from the images through a deep learning model like MobileNetV, you can use the KNN algorithm to display the images from an open-source dataset similar to your image. Good communication skills.

Project 40

Project Deep Learning Datasets Medical 40

Rockset

MARCH 22, 2022

In 2019, Gartner predicted that “ by 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions ,” and users have grown to expect real-time data, especially since the rise of social networks.

Database 52

Database Kafka Transportation Unstructured Data 52

Knowledge Hut

FEBRUARY 13, 2024

However, with advancements in technology and huge datasets to analyze, the field is making big strides in how it can be used. According to the UK National Cyber Security Centre, ransomware attacks increased threefold in the first quarter of 2021 compared to the same period in 2019.

Healthcare 98

Healthcare Cloud Computing Transportation Manufacturing 98

Cloudera

NOVEMBER 15, 2022

The first attempt to overcome this problem was the rollout of the HBOSS project in 2019. Unfortunately, when running the HBOSS solution against larger workloads and datasets spanning over thousands of regions and tens of terabytes, lock contentions induced by HBOSS would severely hamper cluster performance.

Database 74

Database Cloud Cloud Storage Architecture 74

KDnuggets

AUGUST 7, 2019

In this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets.

Data Analysis 96

Data Analysis Python Datasets Data 96

KDnuggets

OCTOBER 24, 2019

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

Datasets 121

Datasets Building Machine Learning 121

KDnuggets

JULY 29, 2019

In this article, I’ll share 7 tips to improve your results when prototyping with small datasets. At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way.

Datasets 117

Datasets Data 117

Zalando Engineering

APRIL 18, 2022

These requirements include secure and privacy-respecting access to large datasets, reproducibility, high performance, scalability, documentation, and observability (logging, monitoring, debugging). In early 2019 we at Zalando decided to use AWS Step Functions for orchestrating machine learning pipelines.

Machine Learning 52

Machine Learning AWS Software Engineer Software Engineering 52

KDnuggets

NOVEMBER 7, 2019

In this tutorial, we show how to apply mathematical set operations (union, intersection, and difference) to Pandas DataFrames with the goal of easing the task of comparing the rows of two datasets.

Datasets 97

Datasets Data Preparation Data Science Python 97

Netflix Tech

OCTOBER 19, 2020

We knew that a heavily sampled trace dataset is not reliable for troubleshooting because there is no guarantee that the request you want is in the gathered samples. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume.

Building 93

Building Transportation Metadata Java 93

ProjectPro

NOVEMBER 24, 2021

“Data Scientist” job was ranked as the best job in America for four consecutive years in a row ( 2016-2019). Experience in handling large datasets and drawing meaningful conclusions from them. In 2020, it ranked at number three, but it has stepped up again to number two in the current year, 2021. Strong programming skills.

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

KDnuggets

JULY 30, 2019

Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time. Data Scientists need computing power.

Data Science 98

Data Science Datasets Data Process 98

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. When employing dependable equipment, sensor data is helpful to produce local forecasts about actual weather models.

Data Science 98

Data Science Transportation Hospitality Banking 98

KDnuggets

AUGUST 22, 2019

Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property. We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations.

Technology 90

Technology Datasets Data 90

KDnuggets

OCTOBER 23, 2019

The task: train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi dataset.

Datasets 95

Datasets 95

Databand.ai

DECEMBER 13, 2022

With more than five years of experience as a data engineer, Sarah currently works at Zwift, where she leads a team of vendors to build data pipelines and deploy machine learning models and owns e-commerce datasets to handle data quality, data contracts, and resolve pipeline downtime.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Confluent

AUGUST 29, 2019

If Kafka is persisting your log of messages over time, just like with any other event streaming application, you can reconstitute datasets when needed. Here, we have three sample records moving over the “friends” topic in Kafka.

Kafka 55

Kafka Process Algorithm Cloud 55

KDnuggets

SEPTEMBER 25, 2019

And as these implementations have required models that can perform on larger and larger datasets in real-time, an awful lot of data science problems have become engineering problems.

Data Science 86

Data Science Data Engineering Data Engineer Engineering 86

ProjectPro

MAY 16, 2021

Bureau of Labor Statistics, the job market for data analytics is likely to grow by 23% from 2019 to 2031, resulting in a global market worth $105 billion by 2027. The best way to get a data analyst job is to get hands-on experience because hiring managers ask for real-world experience working with large datasets. PREVIOUS NEXT <

Portfolio 40

Portfolio Healthcare Data Analytics SQL 40

Rockset

MAY 21, 2021

By 2019, 65% of Dominos’ sales came through digital channels including home devices and emoji texts, reimagining the brand for the digital era. For example, route optimizations require joining streaming fleet data with third party datasets that relate to the weather, geographical routes, traffic conditions and more.

Retail 40

Retail Algorithm Big Data Finance 40

KDnuggets

OCTOBER 28, 2019

Visualizing the datasets is an essential component to identify potential sources of bias and unfairness. DeepMind relied on a method called Causal Bayesian networks (CBNs) to represent and estimate unfairness in a dataset.

Machine Learning 47

Machine Learning Datasets 47