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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Big Data Big Data Artificial Intelligence Artificial Intelligence 142

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

Data Science Dojo

APRIL 6, 2023

While Python and R are popular for analysis and machine learning, SQL and database management are often overlooked. However, data is typically stored in databases and requires SQL or business intelligence tools for access. Through this guide, we give you a larger picture to get started with your database journey.

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Database SQL Data Science Business Intelligence 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).

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Big Data Analytics Big Data Analytics Big Data Big Data 195

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

Data Science Dojo

OCTOBER 31, 2024

Top Employers Microsoft, Facebook, and consulting firms like Accenture are actively hiring in this field of remote data science jobs, with salaries generally ranging from $95,000 to $140,000. Their role is crucial in understanding the underlying data structures and how to leverage them for insights.

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Data Science Data Scientist Machine Learning Machine Learning 195

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.

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SQL Database Big Data Big Data 305

Analytics Vidhya

DECEMBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction A NoSQL database is a non-relational database that does not use the traditional table-based schema of a relational database. NoSQL databases are often used for big data and real-time web applications.

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Database Big Data Big Data Data Science 289

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.,

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Big Data Big Data Data Engineering Data Engineering 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.

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Big Data Big Data Data Science Machine Learning 52

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. Creating a Dummy Database.

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SQL Big Data Big Data Database 105

AWS Machine Learning Blog

NOVEMBER 20, 2024

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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Database AWS SQL ETL 115

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

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ETL Data Warehouse Analytics Analytics 139

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.

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SQL Database Big Data Big Data 243

Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

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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.

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SQL Database Big Data Big Data 136

Smart Data Collective

AUGUST 9, 2022

Big data technology is a double-edged sword for many companies. They are discovering that there are countless benefits of investing in data in business. Unfortunately, making use of big data is a challenge for many companies. They have accumulated large amounts of data, but struggle to analyze it.

Database 122

Database SQL Big Data Big Data 122

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

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

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.

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Big Data Analytics Big Data Analytics Big Data Big Data 137

Data Science Dojo

OCTOBER 4, 2024

Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL. Statistical and Mathematical Skills: Ability to analyze data and derive meaningful insights.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

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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Data Warehouse Azure SQL Database 259

insideBIGDATA

JULY 16, 2023

Kinetica, the database for time & space, announced a totally free version of Kinetica Cloud where anyone can sign-up instantly without a credit card to experience Kinetica’s generative AI capabilities to analyze real-time data.

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SQL Database AI AI 195

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. NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below.

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SQL AWS AI AI 126

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.

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SQL Analytics Analytics Database 306

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Which begs the question what is a database? Types of Databases: There are many different types of databases. The tables store data in the form of rows and columns.

Database 109

Database SQL Clustering Big Data 109

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

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. The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language.

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SQL AWS Database ML 143

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?”)

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SQL Data Lakes Data Analyst AWS 132

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

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

Flipboard

DECEMBER 11, 2024

Data processing and SQL analytics Analyze, prepare, and integrate data for analytics and AI using Amazon Athena, Amazon EMR, AWS Glue, and Amazon Redshift. Data and AI governance Publish your data products to the catalog with glossaries and metadata forms. option("multiLine", "true").option("header",

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SQL AWS Data Lakes AI 160

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

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SQL Database AI AI 141

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

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Women in Big Data

SEPTEMBER 7, 2024

The Power of Big Data transcends the business sector. It moves beyond the vast amount of data to discover patterns and stories hidden inside. FUNDAMENTAL CHARACTERISTICS OF BIG DATA Big data isn’t defined by specific numbers or figures but by its sheer volume and rapid growth.

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Big Data Big Data Database Machine Learning 59

How to Learn Machine Learning

APRIL 26, 2025

Data Sources and Collection Everything in data science begins with data. Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

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.

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Data Engineering Data Engineering Data Engineering Data Engineer 104