DareData

NOVEMBER 28, 2023

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years. But that is not all!

Data Science 52

Data Science Medical Machine Learning Data 52

Netflix Tech

NOVEMBER 11, 2022

This blog series will take you behind the scenes, showing you how we use the power of machine learning to create stunning media at a global scale. With media-focused ML algorithms, we’ve brought science and art together to revolutionize how content is made. Media is at the heart of Netflix.

Media 95

Media Machine Learning Algorithm Deep Learning 95

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

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. According to Gartner, Inc.

Architecture 99

Architecture Metadata Unstructured Data Machine Learning 99

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

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 80

Machine Learning Building Metadata Programming Language 80

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

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

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 91

Data Engineering Data Engineer Cloud Engineering 91

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

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

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

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

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 87

Medical Hospitality Data Lake Healthcare 87

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

Robinhood

FEBRUARY 7, 2024

from Robinhood Data Infrastructure Robinhood adheres to a data-first philosophy. Every decision we make here (or every decision at the company), from feature rollouts to operational changes, is backed by data. When dealing with large-scale data, we turn to batch processing with distributed systems to complete high-volume jobs.

Process 75

Process Hadoop Architecture Accessible 75

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

LinkedIn Engineering

DECEMBER 13, 2022

In this blog post, we share more details on how LinkedIn performs observational causal inference at scale using our Ocelot platform. The tables show sample data for the control and treatment groups respectively. It aims to deliver estimates of causal relationships from observational data, along with robustness checks, to end users.

Data Preparation 55

Data Preparation Data Science Designing Data Pipeline 55

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

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

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 73

Data Science Machine Learning Scala Government 73

Zalando Engineering

JUNE 9, 2022

The ROI pipeline is a batch based data- and machine learning pipeline powered by Databricks Spark and orchestrated by Apache Airflow. Examples for said components are our input data preparation, marketing attribution model or an incremental profit forecast for our campaigns. A set of Spark tables represents a data environment.

Database 52

Database Coding Python AWS 52

Tweag

OCTOBER 11, 2023

Online reactive Bayesian machine learning in Haskell In this blog post, we will learn how to include Bayesian machine learning in a reactive rhine application. Imagine a program that reacts in real time to a sensor input: It might be a robot, an app using GPS data on a phone, or a device to track an object’s location.

Machine Learning 72

Machine Learning Algorithm Programming Process 72

Cloudera

SEPTEMBER 28, 2021

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. We covered the value this new capability provides in a previous blog. Let’s say that both Jon and Remi belong to the Data Engineering group.

Accessible 62

Accessible Accessibility Cloud Cloud Storage 62

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

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

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

Cloudera

APRIL 21, 2022

The Department of Defense (DoD) began implementing a platform originally tagged as the generic CHCS II (Composite Health Care System), a precursor to the military’s second-generation electronic health records (EHR) system, MHS Genesis. So how exactly is the EHR managing petabytes of data? million retirees, 1.3

Electronics 85

Electronics Medical Hospitality Insurance 85

Towards Data Science

JUNE 6, 2023

Fitbit activity analysis with DuckDB Photo by Jake Hills on Unsplash Wearable fitness trackers have become an integral part of our lives, collecting and tracking data about our daily activities, sleep patterns, location, heart rate, and much more. What insights are buried within my archive of personal fitness activity data?

Data Warehouse 92

Data Warehouse Data SQL Data Analysis 92

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