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.

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Christophe Blefari

MARCH 31, 2023

We are slowly approaching the 2-years anniversary of the blog and the newsletter. To be honest time flies and I’d have preferred to do more for the blog in the start of the year but my freelancing activities and my laziness took me so much. We are almost 3000 and once again I want to thank you for the trust.

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Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. And how come was it possible? Computers and their technology.

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ProjectPro

DECEMBER 14, 2021

Preparing for your next BI developer interview? Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features. Data insights, improved quality, and correct data condensed in a single document have become more critical.

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Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

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Edureka

MAY 9, 2023

In today’s digital era, businesses operate in a data-driven environment where data is generated at an unprecedented rate. With this massive influx of data, it becomes challenging for companies to manage and analyze it effectively. Here are the subjects that will be covered: What is Azure Synapse?

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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.

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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.

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Snowflake

JUNE 29, 2023

Data analysts have a tough job. To keep pace with the explosive growth of data in their organization, they must balance the work required to derive accurate insights with the need to make fast decisions. As they seek to understand and explain anomalies quickly, it takes valuable time and effort to dive deep into their data.

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Data Science Datasets Retail BI 57

ProjectPro

SEPTEMBER 11, 2021

This blog contains a list of business analyst interview questions and answers. The skills needed to become a successful business analyst span a broad spectrum of categories. If you enjoy reading a pdf instead of a blog and want business analyst interview questions and answers pdf, you can download it for free from our website.

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Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

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RandomTrees

SEPTEMBER 7, 2020

Databricks and its role in Data Prep for AI solutions Databricks is a buzzword in Data Science. In order to work with massive amounts of data in petabytes or even more, Apache Spark is widely used. Apache Spark is an open-source, fast cluster computing system and a highly popular framework for big data analysis.

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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.

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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.

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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 ?

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Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview.

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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.

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Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

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Monte Carlo

JULY 19, 2023

Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Image courtesy of Databricks.

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Monte Carlo

JANUARY 27, 2024

Building a modern data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Let’s dive into it.

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Building Business Intelligence Cloud Storage BI 52

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . Business value acceleration.

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Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

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Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

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