Pickl AI

SEPTEMBER 19, 2024

Summary: This article compares Spark vs Hadoop, highlighting Spark’s fast, in-memory processing and Hadoop’s disk-based, batch processing model. Introduction Apache Spark and Hadoop are potent frameworks for big data processing and distributed computing. What is Apache Hadoop? What is Apache Spark?

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Hadoop Big Data Big Data Clustering 52

Analytics Vidhya

SEPTEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hi Everyone, In this guide, we will discuss Apache Sqoop. We will discuss the Sqoop import and export processes with different modes and also cover Sqoop-hive integration. In this guide, I will go over Apache Sqoop in depth so that whenever you […].

Data Science 286

Data Science Analytics Analytics Hadoop 286

Data Science Dojo

JULY 7, 2023

At first glance, they may seem like two sides of the same coin, but a closer look reveals distinct differences and unique career opportunities. This article aims to demystify these domains, shedding light on what sets them apart, the essential skills they demand, and how to navigate a career path in either field. What is Coding?

Data Science 195

Data Science Data Scientist Python Decision Trees 195

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Hadoop and Spark: These are like powerful computers that can process huge amounts of data quickly. Python, R, and SQL: These are the most popular programming languages for data science. Statistics provides the language to do this effectively.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Towards AI

SEPTEMBER 28, 2023

This article explains what PySpark is, some common PySpark functions, and data analysis of the New York City Taxi & Limousine Commission Dataset using PySpark. With PySpark, you can write Python and SQL-like commands to manipulate and analyze data in a distributed processing environment. This member-only story is on us.

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Apache Hadoop Hadoop Python SQL 75

Pickl AI

DECEMBER 25, 2024

This article helps you choose the right path by exploring their differences, roles, and future opportunities. Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. This article helps aspiring candidates excel by covering the most frequently asked Big Data interview questions. Familiarise yourself with essential tools like Hadoop and Spark. What is YARN in Hadoop?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

Alation

FEBRUARY 20, 2020

Alation catalogs and crawls all of your data assets, whether it is in a traditional relational data set (MySQL, Oracle, etc), a SQL on Hadoop system (Presto, SparkSQL,etc), a BI visualization or something in a file system, such as HDFS or AWS S3.

SQL 52

SQL Hadoop Analytics Analytics 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Big Data Technologies: Hadoop, Spark, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. This is particularly advantageous when dealing with exponentially growing data volumes.

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Data Lakes Data Warehouse Database Big Data 98

Pickl AI

JULY 18, 2023

There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science. SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

NOVEMBER 4, 2024

This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. million by 2028.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JANUARY 13, 2025

This article explores the top 10 AI jobs in India and the essential skills required to excel in these roles. Proficiency in programming languages like Python and SQL. Familiarity with SQL for database management. Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. million by 2027.

AI 52

AI AI Machine Learning Machine Learning 52

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Now let’s get into the main topic of the article. I’ll leave these methods on you to embark on your own research and familiarize yourself.

SQL 52

SQL Database Apache Hadoop Data Science 52

Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. At the end of this article, you will fully understand what it entails to be a data scientist or data analyst. Before going into the main purpose of this article, what is data? What do you mean by data?

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Women in Big Data

SEPTEMBER 7, 2024

Advances in big data technology like Hadoop, Hive, Spark and Machine Learning algorithms have made it possible to interpret and utilize this variety of data effectively. Examples include Excel files, SQL databases, and data warehouses. Variety Data comes in a myriad of formats including text, images, videos, and more.

Big Data 59

Big Data Big Data Database Machine Learning 59

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Dataconomy

JULY 25, 2023

That’s why, in this article, we’ll explore why data science is not only a good career choice but also a thriving and promising one. Big data tools : Familiarity with big data tools like Hadoop, Spark, and NoSQL databases is advantageous for handling large-scale datasets. Is data science a good career?

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Pickl AI

NOVEMBER 5, 2024

This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. This article will guide readers in selecting the right BI tool—Tableau or Power BI—for their needs in 2024. Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

DataSeries

AUGUST 15, 2024

In this article, let’s understand an explanation of how to enhance problem-solving skills as a data engineer. Hadoop, Spark). Hadoop, Spark). Practice coding with the help of languages that are used in data engineering like Python, SQL, Scala, or Java.

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Like their counterparts in the machine learning world, engineers need to know a variety of scripted languages such as SQL for database management, Scala, Java, and of course Python.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Alation

JANUARY 25, 2022

For instance, technical power users can explore the actual data through Compose , the intelligent SQL editor. Those less familiar with SQL can search for technical terms using natural language. The data catalog supports human understanding by surfacing useful metadata (like usage statistics, conversations, and wiki-like articles).

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Pickl AI

JULY 24, 2023

This article throws light on the 10 best cities for Data Scientists offering the best Data Science salary in India. With the abundance of data available, organizations across various industries are leveraging data science to gain valuable insights and make informed decisions. What is Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

JANUARY 23, 2023

In this article, we will discuss the importance of data versioning control in machine learning and explore various methods and tools for implementing it with different types of data sources. LakeFS is fully compatible with many ecosystems of data engineering tools such as AWS, Azure, Spark, Databrick, MlFlow, Hadoop and others.

ML 52

ML ML Data Lakes Machine Learning 52

IBM Journey to AI blog

JANUARY 18, 2023

This article endeavors to alleviate those confusions. It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few. While this is encouraging, it is also creating confusion in the market.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

DagsHub

AUGUST 23, 2024

This article will guide you through the concept of a data quality framework, its essential components, and how to implement it effectively within your organization. Other Apache Griffin is an open-source data quality solution for big data environments, particularly within the Hadoop and Spark ecosystems.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52