Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale. What and Where is Data Quality?

Big Data 84

Big Data Metadata Data Warehouse Data 84

Knowledge Hut

JANUARY 12, 2024

Well, in a technologically advanced world, Cloud refers to a place where you can store and manage data on a device. Mostly, all companies have started using the Cloud for storing and managing data. Data centers and warehouses typically operate cloud computing systems of databases and software. What is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

Knowledge Hut

OCTOBER 27, 2023

Whether you are a student or a working professional, the journey to be an industry-ready Data Scientist would never be fulfilled unless there is a good portfolio of projects considerably demonstrated in the resume. Choosing the right project is crucial as it could set you apart from the other Data Scientists. to detect anomalies.

Data Science 52

Data Science Python Project Manufacturing 52

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Ripple Engineering

MARCH 30, 2023

This blog outlines Ripple’s general design and approach for machine learning model lifecycle management using Databricks. Tracking models and all associated data is helpful in tracking performance over time, backtesting experiments and A/B testing. Each cluster has a service account that has access to the requisite data.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

ProjectPro

FEBRUARY 21, 2023

This blog will explore the need for image-processing and various python image processing libraries available to computer vision engineers for different use cases. stars and more than 994k users on GitHub indicates how popular it is among data science enthusiasts. Data scientists can use it to turn each pixel into a greyscale.

Data Science 52

Data Science Python Process Algorithm 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

Building 93

Building Transportation Metadata Java 93

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Utilize natural language data to draw insightful conclusions that can lead to business growth. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. It requires rethinking the data lifecycle itself. .

Medical 90

Medical Hospitality Data Lake Healthcare 90

ProjectPro

SEPTEMBER 29, 2021

Image Credit: quickmeme.com Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects What is Machine learning? Machine learning or ML is a sub-field of artificial intelligence that uses statistical techniques to solve large amounts of data without any human intervention.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

AltexSoft

AUGUST 25, 2021

Specifics of data used in NLP. Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Another way to handle unstructured text data using NLP is information extraction (IE). Rule-based NLP — great for data preprocessing.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW?

Data Science 75

Data Science Machine Learning Scala Government 75

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Cloud 131

Cloud Kafka Professional Services Metadata 131

ProjectPro

NOVEMBER 17, 2021

In this blog, you’ll learn more about the benefits of sentiment analysis and ten project ideas divided by difficulty level. Sentiment analysis is used to analyze raw text to drive objective quantitative results using natural language processing, machine learning, and other data analytics techniques. What is Sentiment Analysis?

Coding 52

Coding Project Entertainment Datasets 52

Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

JUNE 22, 2023

At our latest IMPACT summit, Roche shared their data mesh strategy for creating reliable data products. The goal of the Roche data team is to maximize the outcomes of customers and patients through data and analytics products. So they agreed to leverage Data Vault 2.0 It became clear they had to shake things up.

Building 52

Building Data Ingestion Data Business Analyst 52

ProjectPro

OCTOBER 18, 2021

Every final year student interested in pursuing a career in data science or machine learning must work on a hands-on project to experience a practical approach to how machine learning models are implemented and deployed in production. To build such ML projects, you must know different approaches to cleaning raw data.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Advancing Analytics: Data Engineering

MAY 2, 2019

In the last Docker for Data Science blog we looked at where Docker came from and why it is important. In this blog we will get Docker installed and configured on either Windows or Mac. In the last blog we discussed how a container is a running version of an image. The :latest is a tag. Installing Docker.

Data Science 52

Data Science Data Accessible Accessibility 52

ProjectPro

OCTOBER 6, 2021

This blog is a step-by-step guide for a beginner in NLP. If you are someone who wants to know what is the best way to learn NLP from scratch, then please go through our blog till the end. We assure you will build the confidence and gear up yourself to make a career transition into data science as an NLP Engineer.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

ProjectPro

SEPTEMBER 6, 2021

Web Scraping is the method of extracting data from websites in an automated way. Project Idea: For this project, you can scrape data for any specific product available on Amazon and analyze its customers’ reviews. Is Web Scraping Free? What are some popular Web Scraping Projects on GitHub? What is the best free web scraping tool?

Project 52

Project Programming Language Entertainment Python 52

U-Next

MARCH 14, 2023

According to The Times, “ The group of young cyberspace entrepreneurs celebrated what appears to have been the first transaction in retail on the Internet using a readily accessible version of strong data encryption software designed to ensure anonymity. The seamless flow of data without human intervention was made possible through EDI.

Machine Learning 52

Machine Learning Electronics Media Retail 52

ProjectPro

JANUARY 11, 2022

While supervised algorithms comprise data with labels, unsupervised algorithms have unlabelled data. Machine Learning Classification vs. Regression In this blog, we will be looking at the differences between two of the most prominent supervised machine learning algorithms - Classification vs. Regression. What is Regression?

Machine Learning 52

Machine Learning Algorithm Datasets Food 52

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. Below you will find simple projects on data mining that are perfect for a newbie in data mining.

Data Mining 40

Data Mining Coding Project Datasets 40

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 54

Data Warehouse SQL Portfolio MySQL 54

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. Predictive Analytics 2.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. However, it is not straightforward to extract or derive insights from a colossal amount of text data.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

Rockset

DECEMBER 22, 2020

The reason it’s so popular is because of how it indexes data so it’s efficient for search. We will also need to store this data in Elasticsearch. Whether you have each of these types of data in one index or separate doesn’t matter as we will be accessing them separately and joining them within our application.

SQL 40

SQL Data MongoDB Aggregated Data 40

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Project CloudCost — design.

Cloud 89

Cloud IT Data Warehouse AWS 89

Knowledge Hut

NOVEMBER 17, 2023

Today, data is everything, and every technology runs around managing, storing, accessing, and processing this data. After the introduction of cloud computing, the need for managing expanding data is getting more critical. Many people are going for Data Science Courses in India to leverage the true power of AWS.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Cloudera

AUGUST 24, 2022

It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. It’s built for the agility and power of cloud computing, but isn’t limited to any one cloud provider or data source. Prerequisites.

Machine Learning 83

Machine Learning Building Metadata Programming Language 83

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 84

Engineering Raw Data Data Science Scala 84

Snowflake

JUNE 28, 2023

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. Thanks to innovation and research in machine learning algorithms, we can seek knowledge and learn from insights that hide in the data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Databand.ai

JULY 28, 2022

What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. And getting it right matters even more to data organizations. This article will unpack everything you need to know about data lineage, including: What is it? What is data lineage?

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

ProjectPro

JANUARY 13, 2022

Text summarization in NLP is the process of creating summaries from large volumes of data while maintaining significant informational elements and content value. As per Statista, by 2025, the total amount of data created, recorded, copied, and consumed worldwide is expected to exceed 180 zettabytes.

Python 52

Python Algorithm Deep Learning Data Science 52

ProjectPro

JANUARY 24, 2023

With over 18000 customers across the globe, 1000 add-ons and apps available in Splunkbase marketplace, Apache Splunk is the de facto standard for machine data analytics. You can include multiple data points in it, including - Website performance indicators, - Customer logins and account management, - Management of application incidents, etc.

Project 52

Project Data Mining Big Data Big Data Tools 52