Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems.

Process 100

Process Unstructured Data Metadata Data Engineering 100

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Banking 97

Banking Data Lake Data Data Warehouse 97

Towards Data Science

JUNE 19, 2023

Photo by CHUTTERSNAP on Unsplash This article is about Meerschaum Compose , a tool for defining ETL pipelines in YAML and a plugin for the data engineering framework Meerschaum. Docker was a game-changer, revolutionizing the way we design, build, and run our cloud applications. The --dry flag prevents syncing jobs from running.

PostgreSQL 81

PostgreSQL SQL Python Project 81

Scott Logic

JANUARY 25, 2024

The marketing resources, PPC budgets, and team sizes of the big players make inclusion in Search Engine Results Pages (SERPs) feel akin to David vs Goliath. As search engines have evolved (sorry, Ask Jeeves), so have their algorithms when marrying search queries with relevant content. It impacts every area of marketing.

Algorithm 52

Algorithm Banking Engineering Consulting 52

AltexSoft

AUGUST 25, 2021

Internet search engines are wonderfully helpful when auto-filling our queries, language translation has never been more seamless and correct, and advanced grammar checks save our reputation when we’re sending emails. Keep reading to learn: What problems NLP can help solve. Keep reading to learn: What problems NLP can help solve.

Process 139

Process Deep Learning Datasets Machine Learning 139

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

Data Engineering Podcast

APRIL 19, 2021

Summary Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Data Pipeline Machine Learning Data Warehouse Datasets 100

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

Medical 87

Medical Hospitality Data Lake Healthcare 87

Scott Logic

NOVEMBER 9, 2023

As a reminder this series is more about the sustainability of IT than what IT can do for sustainability in general. There is a growing ecosystem of organisations that are promoting sustainability and environmental issues within software development, cloud computing, infrastructure, and digital services.

Amazon Web Services 52

Amazon Web Services Government Cloud Computing Consulting 52

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

OCTOBER 27, 2021

The Metaflow GUI allows data scientists to monitor their workflows in real-time, track experiments, and see detailed logs and results for every executed task. link] Metaflow is a full-stack framework for data science that we started developing at Netflix over four years ago and which we open-sourced in 2019. just to complement them.

Python 89

Python Machine Learning Data Science Metadata 89

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. Typical scenarios for most customer data centers. A solution.

Cloud 101

Cloud Data Warehouse Banking Data 101

Knowledge Hut

DECEMBER 25, 2023

What to learn & where to learn There are a lot of technologies to learn to be a Full-Stack developer. The knowledge of either AWS or Azure-based cloud ecosystem is required, and also CI/CD like Jenkins and containerizing & orchestrating applications using Docker and Kubernetes. We will discuss about them in the coming sections.

Java 98

Java Database PostgreSQL Project 98

dbt Developer Hub

JULY 2, 2023

Data Vault 2.0 is a data modeling technique designed to help scale large data warehousing projects. So why Data Vault? Have you experienced a data warehousing project with 50+ data sources, with 25+ data developers working on the same data platform, or data spanning 5+ years with two or more generations of source systems?

Cloud 52

Cloud Data Warehouse Data BI 52

Monte Carlo

JULY 27, 2023

It’s not enough for data teams to be magicians transforming raw data into business value, they need to be responsible (and cost conscious) stewards as well. Unfortunately, data optimization is far from an exact science. What are the benefits? When it comes to data optimization, you must weigh the tradeoffs.

Data 52

Data Architecture Data Warehouse Data Engineering 52

Knowledge Hut

DECEMBER 28, 2023

What is Web Development? Database technology involves storing and retrieving data, such as MySQL and MongoDB. To design websites, you must be conversant with HTML tags, elements, and properties. In contrast, Python is a general-purpose programming language for machine learning, data analysis, and web development.

Programming Language 52

Programming Language Python MongoDB Certification 52

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. With that background information in mind, we’re ready to take a look at some actual tools and properly uncover what’s the best data catalog for your business. Where is your metadata stored?

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

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

JULY 21, 2021

The report has also revealed that about 40% of the employees will be required to reskill and 94% of the business leaders expect the workers to invest in learning new skills. They are showing great interest in adopting cloud computing along with other technologies like non-human robots, artificial intelligence (AI), and encryption.

Coding 52

Coding Project Deep Learning Algorithm 52

Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. AWS is, by far, the most popular cloud computing platform, it has an absurd number of products to solve every type of specific problem you imagine. But, instead of GCP, we’ll be using AWS. not sponsored. Image by Author.

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AWS Data Pipeline Amazon Web Services Python 80

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design. It is called Idempotency.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

DataKitchen

OCTOBER 28, 2021

Engineers unleashed artificial intelligence (AI) bias, and it will be engineers who design the solutions that eliminate it. We have the tools to create data analytics workflows that address AI bias. What Is AI Bias? Machine learning (ML) models are computer programs that draw inferences from data — usually lots of data.

Coding 52

Coding IT Manufacturing Algorithm 52

Knowledge Hut

SEPTEMBER 6, 2023

In this digital age, I've come to realize just how invaluable data truly is. Everywhere I turn, there's a new cyber threat lurking, making the digital landscape feel a bit like the Wild West. What is Cyber Security? It's like the bodyguard for our data, keeping the bad guys - hackers and malware - out.

Certification 52

Certification Government Cloud Architecture 52

U-Next

AUGUST 4, 2022

As a career option, Data Science is India’s latest youth buzz. After-placement payment Introduction to Data Science. Data are considered new age gold mines. Companies from all sectors recognise the value of utilising data to analyse performances and predict outcomes to facilitate judgement calls. 10 lakh per year.

Data Science 52

Data Science Medical BI Healthcare 52

ProjectPro

JULY 15, 2021

People searching for cloud computing jobs per million grew by approximately 50%. According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. The global cloud computing market is poised to grow $287.03 Table of Contents What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

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 —. What is CDSW? Sound familiar?

Data Science 71

Data Science Machine Learning Scala Government 71

Rockset

JANUARY 28, 2020

Their autonomous checkout system only requires easy-to-install overhead cameras, with no other sensors or RFID tags needed on shelves or merchandise. Standard uses the camera information in its computer vision platform to generate locations of individuals in the store—a type of in-store GPS—and track what items they pick up from the shelves.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

AltexSoft

OCTOBER 25, 2021

“AI is technology’s most important priority, and health care is its most urgent application,” said Microsoft’s CEO Satya Nadella announcing the company’s new acquisition. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

NOVEMBER 17, 2021

Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis? What is Sentiment Analysis? Sentiment analysis is used to analyze raw text to drive objective quantitative results using natural language processing, machine learning, and other data analytics techniques.

Coding 52

Coding Project Entertainment Datasets 52

Rockset

AUGUST 27, 2020

Matter has partnered with leading financial companies, such as Nasdaq and Nordea, on providing sustainability data to investors. Matter collects data from hundreds of independent sources in order to connect investors to insights from experts in NGOs and academia, as well as to signals from trusted media.

NoSQL 40

NoSQL Data Lake Portfolio Architecture 40

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of big data technologies like Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JUNE 18, 2015

As many big data companies ramp up huge investments in big data to capture business insights by scrambling to employ data scientists , data engineers and data analysts-big data crowdsourcing can add value to an organizations investment plans. We’re looking at the next evolution.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52