Analytics Vidhya

MARCH 7, 2023

CTE is one of the most powerful tools of SQL (Structured Query Language), and it also helps to clean the data. It is the concept of SQL (Structured Query Language) used to simplify coding and help to get the result as quickly as possible.

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Analytics Vidhya

JUNE 28, 2022

. “Preponderance data opens doorways to complex and Avant analytics.” ” Introduction to SQL Queries Data is the premium product of the 21st century. Enterprises are focused on data stockpiling because more data leads to meticulous and calculated decision-making and opens more doors for business […].

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SQL Data Science Analytics Analytics 270

Analytics Vidhya

JULY 12, 2023

Best Big Data Softwares - Apache Hadoop, Apache Spark, apache Kafka, Apache Storm, Apache Cassandra, Apache Hive, zoho & more.

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Apache Kafka Apache Hadoop Big Data Big Data 266

Analytics Vidhya

APRIL 1, 2023

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

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Data Warehouse SQL Big Data Big Data 306

KDnuggets

JULY 26, 2019

Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.

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Data Scientist Big Data Big Data SQL 307

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.)

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Hadoop SQL Big Data Big Data 306

Data Science Dojo

JULY 24, 2023

The generation and accumulation of vast amounts of data have become a defining characteristic of our world. This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. databases), semi-structured data (e.g.,

Big Data 195

Big Data Big Data Data Engineer Data Engineering 195

Data Science Dojo

JULY 12, 2023

Welcome to the world of databases, where the choice between SQL (Structured Query Language) and NoSQL (Not Only SQL) databases can be a significant decision. In this blog, we’ll explore the defining traits, benefits, use cases, and key factors to consider when choosing between SQL and NoSQL databases.

SQL 195

SQL Database Big Data Big Data 195

Data Science Dojo

JUNE 19, 2023

Organizations must become skilled in navigating vast amounts of data to extract valuable insights and make data-driven decisions in the era of big data analytics. Amidst the buzz surrounding big data technologies, one thing remains constant: the use of Relational Database Management Systems (RDBMS).

Big Data Analytics 195

Big Data Analytics Big Data Analytics Big Data Big Data 195

Pickl AI

APRIL 21, 2025

Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

KDnuggets

JANUARY 7, 2020

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

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Data Engineer Data Engineering Data Engineering Data Engineering 400

Smart Data Collective

AUGUST 23, 2022

Are you running a company with a focus on big data? One survey showed that 32% of companies have a formal big data strategy. These companies tend to be far more profitable than businesses that do not utilize big data. This entails using SQL servers appropriately. You aren’t alone.

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SQL Big Data Big Data Database 105

Analytics Vidhya

JANUARY 13, 2022

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […].

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Analytics Analytics SQL Data Engineering 352

Analytics Vidhya

DECEMBER 2, 2020

Overview Get to know about the SQL Window Functions Understand what the Aggregate functions lack and why we need Window Functions in SQL. The post Window Functions – A Must-Know Topic for Data Engineers and Data Scientists appeared first on Analytics Vidhya.

Data Scientist 333

Data Scientist Data Engineer Data Engineering Data Engineering 333

Smart Data Collective

DECEMBER 21, 2021

Big data is a phrase that the industry coined in 1987 , but it took years before it became truly popular. By the time the name was a household term, big data was everywhere, and companies were seeking ways to store and use the data. Data scientists knew that big data could hold valuable insights.

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Analytics Vidhya

JANUARY 24, 2023

According to Scalegrid’s 2019 database trends report, SQL is the most popular database form, with more than 60% of its use. MySQL is the most common SQL database, while MongoDB […] The post Understanding Neo4j Graph Databases: Purpose and Functionality appeared first on Analytics Vidhya.

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Database SQL Analytics Analytics 328

Smart Data Collective

OCTOBER 20, 2020

Big data has led to some major breakthroughs for businesses all over the world. Last year, global organizations spent $180 billion on big data analytics. However, the benefits of big data can only be realized if data sets are properly organized. The benefits of data analytics are endless.

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Big Data Big Data Database Database Administration 130

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data Analytics 137

Big Data Analytics Big Data Analytics Big Data Big Data 137

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.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Smart Data Collective

AUGUST 4, 2022

A growing number of businesses are relying on big data technology to improve productivity and address some of their most pressing challenges. Global companies are projected to spend over $297 billion on big data by 2030. Data technology has proven to be remarkably helpful for many businesses. Problem Statement.

SQL 136

SQL Database Big Data Big Data 136

insideBIGDATA

MAY 2, 2023

Users can ask any question of their proprietary data, even complex ones that were not previously known, and receive an answer in seconds.

Database 391

Database Analytics Analytics SQL 391

Analytics Vidhya

MAY 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding.

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Azure Analytics Analytics Predictive Analytics 373

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

Big Data 142

Big Data Big Data ETL Analytics 142

Smart Data Collective

AUGUST 4, 2022

A growing number of businesses are discovering the importance of big data. Thirty-two percent of businesses have a formal data strategy and this number is rising year after year. Unfortunately, they often have to deal with a variety of challenges when they manage their data. One of them is knowing how to backup your data.

SQL 130

SQL Database Big Data Big Data 130

Analytics Vidhya

JANUARY 17, 2023

Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology. The post Step-by-Step Guide to Becoming a Data Analyst in 2023 appeared first on Analytics Vidhya.

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Data Analyst Big Data Analytics Big Data Analytics Big Data 305

insideBIGDATA

MAY 2, 2023

PingCAP, the provider of the advanced distributed SQL databases, announced the introduction of its new GitHub Data Explorer tool. This innovative new tool is built to help developers and open-source contributors achieve deeper insights into their GitHub activity, streamline workflows, and increase productivity.

SQL 305

SQL Database Big Data Big Data 305

Analytics Vidhya

MAY 4, 2023

NoSQL refers to a non-SQL or non-relational Data Management System which provides a mechanism for retrieving and storing data. The main reason behind the popularity of NoSQL is its capability to store and handle structured, semi-structured, unstructured, and polymorphic data.

SQL 306

SQL Analytics Analytics Database 306

Smart Data Collective

OCTOBER 19, 2022

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future. Unfortunately, big data technology is not without its challenges.

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Big Data Big Data Database AWS 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.

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Big Data Big Data Apache Hadoop Hadoop 99

insideBIGDATA

SEPTEMBER 18, 2023

Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language.

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SQL Data Analysis Data Analysis Analytics 243

AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL.

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SQL AWS Database ML 139

AWS Machine Learning Blog

NOVEMBER 12, 2024

NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below. The question in the preceding example doesn’t require a lot of complex analysis on the data returned from the ETF dataset. A user can ask a business- or industry-related question for ETFs.

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SQL AWS AI AI 113

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 127

SQL Data Lakes Data Analyst AWS 127

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

insideBIGDATA

DECEMBER 25, 2023

Juan Sequeda, Principal Scientist at data.world, recently published a research paper, "A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases." He and his co-authors benchmarked LLM accuracy in answering questions over real business data.

SQL 243

SQL Database Big Data Big Data 243

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.

Azure 271

Azure Analytics Analytics Data Preparation 271

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?

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