Pickl AI

NOVEMBER 4, 2024

Additionally, learn about data storage options like Hadoop and NoSQL databases to handle large datasets. Familiarise yourself with frameworks such as Apache Spark and Dask, which integrate seamlessly with Python. These tools allow you to process and analyse vast amounts of data efficiently.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

phData

NOVEMBER 8, 2024

Evolution of Open Table Formats Here’s a timeline that outlines the key moments in the evolution of open table formats: 2008 - Apache Hive and Hive Table Format Facebook introduced Apache Hive as one of the first table formats as part of its data warehousing infrastructure, built on top of Hadoop.

Data Lakes 52

Data Lakes Data Warehouse Azure Database 52

AWS Machine Learning Blog

DECEMBER 10, 2024

We stored the embeddings in a vector database and then used the Large Language-and-Vision Assistant (LLaVA 1.5-7b) 7b) model to generate text responses to user questions based on the most similar slide retrieved from the vector database. She has over a decade of cross-industry expertise leading strategic technical initiatives.

AWS 104

AWS K-nearest Neighbors Database ML 104

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Use Cases : Yahoo!

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Flipboard

JUNE 16, 2025

To define the term, let’s first say that structured data includes spreadsheets with their formalized rows and columns, “form-based” data resources where we know the fields in a document and so we know what values to expect… and of course relational databases, the purest form of an ordered and structured data repository.

Big Data 134

Big Data Big Data Machine Learning Machine Learning 134

Pickl AI

MARCH 19, 2025

A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. Data Storage : Keeping data safe in databases or cloud platforms. It allows them to retrieve, manipulate, and manage structured data in relational databases. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Dataconomy

MAY 26, 2025

Structured data Structured data is highly organized, typically stored in fixed formats like databases. Technology overview Technologies such as Hadoop, Spark, and Hive support the foundation of BDaaS, enabling efficient data processing and storage. These platforms offer powerful capabilities for managing large datasets.

Big Data 160

Big Data Big Data Hadoop Cloud Computing 160

Analytics Vidhya

FEBRUARY 27, 2023

Introduction The Hadoop Distributed File System (HDFS) is a Java-based file system that is Distributed, Scalable, and Portable. HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya. Due to its lack of POSIX conformance, some believe it to be data storage instead.

Hadoop 318

Hadoop Analytics Analytics Apache Hadoop 318

Analytics Vidhya

APRIL 26, 2022

Introduction on Big Data & Hadoop The amount of data in our world is growing exponentially. The post Getting Started with Big Data & Hadoop appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. It is estimated that at least 2.5

Hadoop 270

Hadoop Big Data Big Data Data Science 270

Analytics Vidhya

MAY 17, 2022

HBase is an open-source non-relational, scalable, distributed database written in Java. It is developed as a part of the Hadoop ecosystem and runs on top of HDFS. The post Getting Started with NoSQL Database Called HBase appeared first on Analytics Vidhya. It provides random real-time read and write access to the given data.

Database 286

Database Hadoop Data Science Analytics 286

Analytics Vidhya

FEBRUARY 5, 2023

Big data […] The post A Beginner’s Guide to the Basics of Big Data and Hadoop appeared first on Analytics Vidhya. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more.

Hadoop 290

Hadoop Big Data Big Data Analytics 290

Analytics Vidhya

JULY 25, 2022

Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System). This article was published as a part of the Data Science Blogathon.

Hadoop 353

Hadoop Big Data Big Data Data Engineering 353

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

Analytics Vidhya

OCTOBER 12, 2022

Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data. With the advent of big data, several organizations realized the benefits of big data processing and started choosing solutions like Hadoop to […].

Hadoop 353

Hadoop Big Data Big Data Data Science 353

Analytics Vidhya

AUGUST 1, 2022

Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). This article was published as a part of the Data Science Blogathon. HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases.

Hadoop 359

Hadoop Big Data Big Data Data Science 359

Analytics Vidhya

OCTOBER 28, 2021

The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […].

Apache Hadoop 349

Apache Hadoop Data Warehouse Hadoop SQL 349

Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

Big Data 269

Big Data Big Data Apache Hadoop Hadoop 269

Analytics Vidhya

AUGUST 17, 2022

Introduction Impala is an open-source and native analytics database for Hadoop. This article was published as a part of the Data Science Blogathon. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. If you want to learn all things Impala, you’ve come to the right place.

Hadoop 291

Hadoop Data Science Database Analytics 291

Smart Data Collective

SEPTEMBER 15, 2021

Apache Hadoop needs no introduction when it comes to the management of large sophisticated storage spaces, but you probably wouldn’t think of it as the first solution to turn to when you want to run an email marketing campaign. Some groups are turning to Hadoop-based data mining gear as a result.

Hadoop 129

Hadoop Apache Hadoop Predictive Analytics Clustering 129

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

Analytics Vidhya

JULY 29, 2022

Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

Big Data 399

Big Data Big Data Database Data Science 399

Analytics Vidhya

MARCH 16, 2023

Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem. Introduction This article will be a deep guide for Beginners in Apache Oozie.

ETL 253

ETL Hadoop Analytics Analytics 253

Analytics Vidhya

JUNE 30, 2022

Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. This article was published as a part of the Data Science Blogathon. It is an important technology for data engineers to learn and master. It uses a declarative language called HQL, also known […].

Data Warehouse 271

Data Warehouse Hadoop Data Engineering Data Engineering 271

Smart Data Collective

MARCH 27, 2019

The good news is that a number of Hadoop solutions can be invaluable for people that are trying to get the most bang for their buck. How does Hadoop technology help with key couponing and frugal living? Fortunately, Hadoop and other big data technologies are playing an important role in addressing all of these challenges.

Hadoop 82

Hadoop Big Data Big Data Database 82

Data Science Dojo

JANUARY 12, 2023

Hadoop systems and data lakes are frequently mentioned together. Data is loaded into the Hadoop Distributed File System (HDFS) and stored on the many computer nodes of a Hadoop cluster in deployments based on the distributed processing architecture. Some NoSQL databases are also utilized as platforms for data lakes.

Data Lakes 222

Data Lakes Data Warehouse Hadoop Machine Learning 222

Analytics Vidhya

APRIL 29, 2022

Different organizations make use of different databases like an oracle database storing transactional data, MySQL for storing product data, and many others for different tasks. This article was published as a part of the Data Science Blogathon. storing the data […].

Data Warehouse 266

Data Warehouse Database Data Science Analytics 266

Pickl AI

JULY 29, 2024

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Analytics Vidhya

SEPTEMBER 18, 2022

Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage. This article was published as a part of the Data Science Blogathon. Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories.

Data Warehouse 271

Data Warehouse Data Science Database Analytics 271

Pickl AI

JULY 6, 2023

Here comes the role of Hive in Hadoop. Hive is a powerful data warehousing infrastructure that provides an interface for querying and analyzing large datasets stored in Hadoop. In this blog, we will explore the key aspects of Hive Hadoop. What is Hadoop ? Hive is a data warehousing infrastructure built on top of Hadoop.

Hadoop 52

Hadoop SQL Big Data Big Data 52

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?

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Smart Data Collective

SEPTEMBER 8, 2021

Extract : In this step, data is extracted from a vast array of sources present in different formats such as Flat Files, Hadoop Files, XML, JSON, etc. Here are few best Open-Source ETL tools on the market: Hadoop : Hadoop distinguishes itself as a general-purpose Distributed Computing platform.

ETL 125

ETL Hadoop Data Warehouse Data Pipeline 125

Smart Data Collective

OCTOBER 14, 2019

With big data careers in high demand, the required skillsets will include: Apache Hadoop. Software businesses are using Hadoop clusters on a more regular basis now. Apache Hadoop develops open-source software and lets developers process large amounts of data across different computers by using simple models. NoSQL and SQL.

Big Data 98

Big Data Big Data Apache Hadoop Hadoop 98

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. They have undergone significant transformation since then, with modern warehouses housing largescale terabyte capacities.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Smart Data Collective

FEBRUARY 21, 2020

Maintaining product databases. Database Design Electronic System Management. Advanced Communication Data mining tools like Hadoop. Engineers with knowledge of Hadoop and other data mining tools can earn even more. Conducting research programs. Inventing electrical products. Answering questions and requests.

Big Data 142

Big Data Big Data Hadoop Data Mining 142

phData

APRIL 26, 2024

One common scenario that we’ve helped many clients with involves migrating data from Hive tables in a Hadoop environment to the Snowflake Data Cloud. Click Create cluster and choose software (Hadoop, Hive, Spark, Sqoop) and configuration (instance types, node count). Configure security (EC2 key pair). Find ElasticMapReduce-master.

Hadoop 52

Hadoop Clustering AWS Database 52

Flipboard

NOVEMBER 17, 2023

The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as document repositories, databases, or APIs, to make foundation models effective for domain-specific tasks. Its vector data store seamlessly integrates with operational data storage, eliminating the need for a separate database.

K-nearest Neighbors 169

K-nearest Neighbors AWS Clustering Database 169

Pickl AI

OCTOBER 22, 2024

Summary: Relational database organize data into structured tables, enabling efficient retrieval and manipulation. With SQL support and various applications across industries, relational databases are essential tools for businesses seeking to leverage accurate information for informed decision-making and operational efficiency.

Database 52

Database SQL Big Data Big Data 52