Knowledge Hut

JANUARY 24, 2024

Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist." This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

DataKitchen

MAY 4, 2023

Examples of complexity within data and analytics teams include multiple teams with different roles, thousands of different data sets of different types and shapes, each with unique needs, and interconnected project plans. Chris talks about the idea of a ‘domain’ as a principle of Data Mesh.

Raw Data 52

Raw Data Data Datasets Metadata 52

Lyft Engineering

APRIL 25, 2023

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems.

Systems 75

Systems Building Machine Learning Datasets 75

Cloudera

NOVEMBER 17, 2020

Once the prototype has been completely deployed, you will have an application that is able to make predictions to classify transactions as fraudulent or not: The data for this is the widely used credit card fraud dataset. Data analysis – create a plan to build the model.

Deep Learning 110

Deep Learning Machine Learning Raw Data Data Ingestion 110

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Using Cloudera Data Platform. Conclusion.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Knowledge Hut

SEPTEMBER 28, 2023

Welcome to this blog discussing the Power BI syllabus, where we'll delve into comprehensive exam preparation and offer valuable tips. It stands as a formidable business intelligence tool, providing an end-to-end solution for diverse data needs. Visualization: One of the critical parts is when all your data is set up and ready.

BI 52

BI Business Intelligence Certification Raw Data 52

AltexSoft

AUGUST 25, 2021

You can’t simply feed the system your whole dataset of emails and expect it to understand what you want from it. It’s called deep because it comprises many interconnected layers — the input layers (or synapses to continue with biological analogies) receive data and send it to hidden layers that perform hefty mathematical computations.

Process 139

Process Deep Learning Datasets Machine Learning 139

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. A pipeline may include filtering, normalizing, and data consolidation to provide desired data. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

DECEMBER 17, 2020

Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform. First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases. Using CDP Data Engineering For Automating Machine Learning Pipelines.

Machine Learning 80

Machine Learning Data Science Data Pipeline Raw Data 80

RandomTrees

DECEMBER 20, 2023

The Next GEN Edge AI Application provides an immersive, intuitive and fun learning experience while saving time and money with multiple programs like Ranking, Classification and Designing. What is Next GEN Edge AI ? Instead of manually updating the models, the updates get uploaded to the cloud, which reduces privacy concerns.

IT 52

IT Hospitality Healthcare Deep Learning 52

Rockset

AUGUST 2, 2023

The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

ProjectPro

JANUARY 19, 2022

Source: Image uploaded by Tawfik Borgi on (researchgate.net) So, what is the first step towards leveraging data? 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. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. It entails generating data visualizations and charts for analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JULY 21, 2023

Data visualization charts are an invaluable tool in simplifying data analysis and presenting insights in visually appealing ways. Data visualization charts are graphical representations of data that help organizations understand and interpret complex information.

Raw Data 52

Raw Data BI Data Transparency Data 52

DataKitchen

OCTOBER 2, 2023

This type of Data Journey provides a continuous monitoring framework that can be augmented by data quality checks (such as those automatically generated by DataKitchen’s TestGen product ), ensuring the quality of datasets and tables. The Hub Data Journey provides the raw data and adds value through a ‘contract.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

DataKitchen

MARCH 16, 2023

Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data. The Active Data Ratio metric determines the percentage of datasets that deliver value. The Data Change Request Ratio metric measures the rate of business demand for data. Data trust is imperative.

Data Analytics 52

Data Analytics Manufacturing Data Process 52

Cloudera

MARCH 2, 2018

On the program side, teams largely tend to use descriptive analytics – statistical techniques that provide insight into the past and answer: “What has happened?” – on survey data, sometimes complemented by samples from larger raw datasets, e.g. Facebook posts or tweets. In many settings this is the best information available.

Hospitality 42

Hospitality Healthcare Machine Learning Transportation 42

ProjectPro

FEBRUARY 16, 2023

of data engineer job postings on Indeed? If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JULY 12, 2021

While data science is the most hyped-up career path in the data industry, it certainly isn't the only one. You can consider many other high-paying career options as a data enthusiast. This blog will take you through a relatively new career title in the data industry — AI Engineer.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Monte Carlo

JULY 7, 2022

It’s becoming clear a data engineering movement is afoot as we have recently covered other organizations taking a similar approach: Convoy and Vimeo. You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.”

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Rockset

MARCH 27, 2019

The application you're implementing needs to analyze this data, combining it with other datasets, to return live metrics and recommended actions. But how can you interrogate the data and frame your questions correctly if you don't understand the shape of your data? Where do you begin?

Raw Data 40

Raw Data SQL NoSQL Datasets 40

Knowledge Hut

DECEMBER 26, 2023

If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. Get the Dataset.

Machine Learning 136

Machine Learning Datasets Data Science Raw Data 136

Confluent

SEPTEMBER 26, 2019

® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). Let’s now dig a little bit deeper into Kafka and Rockset for a concrete example of how to enable real-time interactive queries on large datasets, starting with Kafka.

Kafka 21

Kafka BI SQL Datasets 21

Knowledge Hut

OCTOBER 13, 2023

As per Microsoft, “A Power BI report is a multi-perspective view of a dataset, with visuals representing different findings and insights from that dataset. ” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data.

BI 52

BI Business Analyst Datasets Raw Data 52

Monte Carlo

FEBRUARY 9, 2023

In fact, with increasingly strict data regulations like GDPR and a renewed emphasis on optimizing technology costs, we’re now seeing a revitalization of “ Data Vault 2.0 ” data modeling. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

LinkedIn Engineering

APRIL 4, 2023

This blog post will provide an overview of how we approached metrics selection and design, system architecture and key product features. Metrics Design and Selection We started with a simple question: What should we measure? To answer that we followed a metrics design framework called “Goals-Signals-Metrics.” (GSM)

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

Maxime Beauchemin

AUGUST 28, 2017

In modern large organizations, where hundred of people are involved in the data generation side of the analytical process, consensus seeking is challenging, when not outright impossible in a timely fashion. Silos naturally spawn into existence as projects get started, teams drift and inevitably as acquisitions occur.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. Embedded content: [link] Given a query, we can then find the most similar items in the dataset. What is vector search?

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. What is Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Monte Carlo

JUNE 7, 2022

What are some data application examples and how do they shape your decision making? An external data product is any data asset that either faces or impacts a customer. Just get the raw data in there. Second, come up with repeatable pipelines for getting data to your analysts.

Building 52

Building Raw Data Architecture Machine Learning 52

Airbnb Tech

JUNE 1, 2021

We spent years iterating toward the right metric infrastructure and designing the right user experience. Because of this multi-year investment, when Airbnb’s business was severely disrupted by COVID-19 last year, we were able to quickly turn data into actionable insights and strategies. Consistent : Data is always consistent.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

U-Next

JUNE 29, 2022

However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. In this blog, we’ll go over elements of big data , the big data environment as a whole, big data infrastructures, and some valuable tools for getting it all done.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52