ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. In this blog, you’ll learn more about the benefits of sentiment analysis and ten project ideas divided by difficulty level. .’

Coding 52

Coding Project Entertainment Datasets 52

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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. Dummy datasets like univariate time-series datasets, shampoo sales datasets, etc.,

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Want to learn more about data governance? Check out our Data Governance on Snowflake blog!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

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.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Zalando Engineering

NOVEMBER 6, 2017

Ana, Senior Data Scientist at Zalando Dublin and one of the founding members of the Dublin data science team, ended up taking home the top prize – Data Scientist of the Year – much to the celebrations of the Dublin office. The DatSci Awards The explosion of data and data science is changing all of our worlds.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Data Engineer: Skills Data Engineer vs Data Scientist: Salary How to Become a Data Scientist/Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Edureka

JANUARY 18, 2024

It emphasizes the importance of reporting strategies, data visualization tools, domain expertise, and lifelong learning for a fulfilling career in data science. Table of Contents Introduction to Data Science What is Data Science? What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Cloudera

SEPTEMBER 17, 2018

Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags! The post A new era of SQL-development, fueled by a modern data warehouse appeared first on Cloudera Blog.

Data Warehouse 55

Data Warehouse SQL Portfolio MySQL 55

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Companies from startups to the Fortune 500s are looking out for the best and brightest individuals to fill up the role of Data engineers beating out data scientists, cybersecurity analysts, and web developers. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 108

Systems Hadoop Unstructured Data Media 108

Knowledge Hut

JANUARY 25, 2024

In the world of data science, keeping our data clean is a bit like keeping our rooms tidy. Just as a messy room can make it hard to find things, messy data can make it tough to get valuable insights. That's why data cleaning techniques and best practices are super important. Why Is Data Cleaning So Important?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

Snowflake

JUNE 28, 2023

By bringing compute closer to the data businesses can eliminate data silos, address security and governance challenges, and optimize operations, leading to enhanced efficiency, all while avoiding the management overhead associated with additional systems and infrastructure.

Python 52

Python Accessible Accessibility Pipeline-centric 52

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Start working on them today!

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 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

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Genie — Distributed big data orchestration service by Netflix. DataOps is a hot topic in 2021.

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Consulting Machine Learning Data Science Data Pipeline 120

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Data relevance. Including irrelevant data in the training dataset can make the model overly complex, as it tries to learn patterns that don’t actually fit the task. Public datasets.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. The solution implemented the Cloudera Data Platform (CDP) to better support high-performance computing.

Banking 80

Banking Data Lake Telecommunication Data 80

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Architecture 105

Architecture Metadata Unstructured Data Machine Learning 105

Cloudera

AUGUST 31, 2020

As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. LLAP operates on open columnar data formats like ORC which are often used by Data Science tools like Spark, seamlessly enabling AI and Data Science on the same datasets. .

Management 66

Management Hadoop Data Warehouse Data Science 66

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.

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AWS Scala Metadata Data Lake 98

ProjectPro

AUGUST 24, 2021

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. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 3, 2022

And Data Science has a significant impact here. Today, Data Science is expanding in many ways, so it’s important to understand what it is and how we can improve it to prepare for the future. Data Scientist roles and responsibilities have become increasingly challenging, fun, and worthwhile. .

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JANUARY 24, 2023

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

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

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

OCTOBER 3, 2022

They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. So, in terms of a “graph of data”, a dataset is arranged as a network of nodes, edges, and labels rather than tables of rows and columns.

Relational Database 52

Relational Database Banking Media Computer Science 52

AltexSoft

MAY 14, 2021

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. Image source – Wikipedia The above image is taken from the very famous MNIST dataset that gives a glimpse of the visual representation of digits. The MNIST dataset is widely used in many image processing techniques.

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. It has a robust community support that is evolving over time with novel advancements.

Hadoop 40

Hadoop IT Big Data Retail 40

AltexSoft

DECEMBER 15, 2021

Also called DevOps for machine learning, MLOps is a mix of philosophy and practices that facilitates mutual understanding between a data science team and operations specialists. The technology supports tabular, image, text, and video data, and also comes with an easy-to-use drag-and-drop tool to engage people without ML expertise.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Cloud 108

Cloud Unstructured Data Metadata Datasets 108

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

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Unstructured Data Finance SQL Media 72