Analytics Vidhya

FEBRUARY 1, 2023

Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)

Hadoop 306

Hadoop SQL Big Data Big Data 306

Data Science Dojo

OCTOBER 31, 2024

They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies. Their role is crucial in understanding the underlying data structures and how to leverage them for insights. This role builds a foundation for specialization.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Blog

MAY 10, 2023

Anzeige Data Science und AI sind aufstrebende Arbeitsfelder, die sich mit der Gewinnung von Wissen aus Daten beschäftigen. SQL für Data Science ermöglicht, Daten effektiv zu organisieren und schnell Abfragen zu erstellen, um Antworten auf komplexe Fragen zu finden. Weitere Kurse von Coursera zum Thema Data & AI (link).

Data Science 260

Data Science Deep Learning Deep Learning SQL 260

Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Smart Data Collective

OCTOBER 11, 2021

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer?

Data Engineering 132

Data Engineering Data Engineering Data Engineering Data Engineer 132

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. They’re looking to hire experienced data analysts, data scientists and data engineers.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

AWS Machine Learning Blog

AUGUST 8, 2024

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. This tool converts questions from data analysts asked in natural language (such as “Which table contains customer address information?”)

SQL 129

SQL Data Lakes Data Analyst AWS 129

Analytics Vidhya

DECEMBER 26, 2022

NoSQL databases are often used for big data and real-time web applications. Introduction A NoSQL database is a non-relational database that does not use the traditional table-based schema of a relational database. The main advantages of using a NoSQL database are that NoSQL […].

Database 289

Database Big Data Big Data Data Science 289

Analytics Vidhya

MARCH 13, 2023

It is intended to assist organizations in simplifying the big data and analytics process by providing a consistent experience for data preparation, administration, and discovery. Introduction Microsoft Azure Synapse Analytics is a robust cloud-based analytics solution offered as part of the Azure platform.

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Azure Analytics Analytics Data Preparation 271

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

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Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. billion by 2025.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

AWS Machine Learning Blog

NOVEMBER 20, 2024

Repeat the steps to add another Aurora MySQL data source, called aggregated_sales , for the same database but with the following details in the Sync scope This data source will be used by Amazon Q for answering questions on aggregated sales. Data Engineer at Amazon Ads. For IAM role , choose Create a new service role.

Database 112

Database AWS SQL ETL 112

Flipboard

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. The following screenshot shows an example of the unified notebook page.

SQL 160

SQL AWS Data Lakes AI 160

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Azure Data Engineering Data Engineering Data Engineering 52

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Dataconomy

JULY 24, 2023

” Data management and manipulation Data scientists often deal with vast amounts of data, so it’s crucial to understand databases, data architecture, and query languages like SQL. Skills in manipulating and managing data are also necessary to prepare the data for analysis.

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Data Scientist Data Science Data Analyst Machine Learning 172

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

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Data Science Data Scientist Computer Science Computer Science 98

Smart Data Collective

MAY 29, 2023

The Role of an Effective Analyst Data analysts are responsible for the harvesting, management, analysis, and interpretation of big data gathered. Data Scientist These employees are programmers and analysts combined. Data Engineer These people specialize in programming.

Data Analyst 104

Data Analyst SQL Data Scientist Data Analysis 104

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Data Science Dojo

OCTOBER 10, 2023

AI and Big Data Expo – North America (May 17-18, 2023): This technology event is for enterprise technology professionals interested in the latest AI and big data advances and tactics. However, in previous iterations of the summit, speakers have included prominent voices in data engineering and analytics.

AI 243

AI AI Data Observability Artificial Intelligence 243

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists rely on technical proficiency. Masters or Ph.D.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Smart Data Collective

FEBRUARY 23, 2022

AWS Athena is a query service that allows users to analyze data in S3 using standard SQL syntax. Both combined, you use SQL to query what’s stored in S3. In data engineering, besides partitioning, there are many areas to be taken care of. Athena is serverless and managed by AWS. and 245KB scanned. Wrapping up.

Data Lakes 124

Data Lakes AWS SQL Big Data 124

ODSC - Open Data Science

MARCH 6, 2023

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Lastly, data engineering is popular as the engineering side of AI is needed to make the most out of data, such as collection, cleaning, extracting, and so on.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

Data Science Blog

MAY 15, 2023

Data Warehousing ist seit den 1980er Jahren die wichtigste Lösung für die Speicherung und Verarbeitung von Daten für Business Intelligence und Analysen. Mit der zunehmenden Datenmenge und -vielfalt wurde die Verwaltung von Data Warehouses jedoch immer schwieriger und teurer.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 342

Analytics Analytics Data Science Data Visualization 342

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

Data Science 328

Data Science Analytics Analytics Hadoop 328

Women in Big Data

MAY 21, 2024

We provided a quick overview of Women in Big Data (WiBD). Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

NOVEMBER 8, 2024

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. The first insert statement loads data having c_custkey between 30001 and 40000 – INSERT INTO ib_customers2 SELECT *, '11111111111111' AS HASHKEY FROM snowflake_sample_data.tpch_sf1.customer

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

ODSC - Open Data Science

AUGUST 9, 2023

About the Author: Suman Debnath is a Principal Developer Advocate(Data Engineering) at Amazon Web Services, primarily focusing on Data Engineering, Data Analysis and Machine Learning. Now, let’s give you a taste of what’s in store (the GitHub code repository can be found here ).

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 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

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52