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 […].

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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.

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Hadoop Big Data Big Data Data Science 360

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 […].

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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.

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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.

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Hadoop Apache Hadoop Predictive Analytics Database 130

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.

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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 […].

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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.

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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

Data Science Dojo

OCTOBER 31, 2024

Database Analyst Description Database Analysts focus on managing, analyzing, and optimizing data to support decision-making processes within an organization. They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Precisely

JANUARY 9, 2025

Then came Big Data and Hadoop! And the more sources of data continued to expand, moving beyond mainframes and relational databases to semi-structured and unstructured data sources spanning social feeds, device data, and many other varieties, made it impossible to manage in the same old data warehouse architectures. A data lake!

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Data Warehouse Hadoop Data Lakes Data Governance 119

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.

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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 […].

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Data Warehouse Database Data Science Analytics 267

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 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

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.

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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.

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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.

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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?

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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 99

Big Data Big Data Apache Hadoop Hadoop 99

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.

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ETL Hadoop Data Warehouse Data Pipeline 126

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.

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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.

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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.

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Big Data Big Data Data Mining Data Mining 142

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

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.

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Data Science Dojo

JULY 24, 2023

Its characteristics can be summarized as follows: Volume : Big Data involves datasets that are too large to be processed by traditional database management systems. databases), semi-structured data (e.g., These datasets can range from terabytes to petabytes and beyond. XML, JSON), and unstructured data (e.g., text, images, videos).

Big Data 195

Big Data Big Data Data Engineering Data Engineering 195

IBM Data Science in Practice

OCTOBER 25, 2024

Together they can provide an integrated predictive analytics platform, using data from Hadoop distributions and Spark applications. Create the Kerberos Database: perform the below step on KDC host. Enter KDC database master key: Re-enter KDC database master key to verify: 3.

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Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

phData

MARCH 7, 2023

The task of keeping multiple databases in sync so that data is accurate, up-to-date, and highly available is every data consumer’s biggest challenge. Oracle is one of the largest IT companies whose flagship product, Oracle Database, is a relational database management system. What is Oracle? What is Oracle GoldenGate?

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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

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

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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 Database Azure 52

Smart Data Collective

NOVEMBER 8, 2020

Unlike the old days where data was readily stored and available from a single database and data scientists only needed to learn a few programming languages, data has grown with technology. Understand the Databases. As a data engineer, you will be primarily working on databases. Forging a Career Path in the Field of Data Science.

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Data Engineering Data Engineering Data Engineer Data Engineering 104

Smart Data Collective

AUGUST 9, 2023

Don’t Be Afraid to Change Database Platforms Picking out the right analytical database can go a long way toward making sense of all the data your organization is collecting. Companies that have revenue information stored in a conventional flat spreadsheet might do well to opt for a relational database like MySQL or Postgres.

Analytics 98

Analytics Analytics Database Data Analysis 98

Precisely

MARCH 9, 2023

Hadoop, Snowflake, Databricks and other products have rapidly gained adoption. We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Big Data 59

Alation

FEBRUARY 20, 2020

We decided to address these needs for SQL engines over Hadoop in Alation 4.0. Alation Connect previously synced metadata and query logs from data storage systems including the Hive Metastore on Hadoop and databases from Teradata, IBM, Oracle, SqlServer, Redshift, Vertica, SAP Hana and Greenplum. In the release of Alation 4.0,

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