Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

APRIL 3, 2023

The field of Backend Development is constantly evolving, and staying up-to-date with the latest tools and technologies is crucial for success. This includes handling data storage, user authentication, and server configuration. Familiarity with web development technologies, such as HTML, CSS, and JavaScript.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Knowledge Hut

MAY 31, 2023

Web Development with MySQL When it comes to dynamic, responsive web development, few technologies come close to matching the power of JavaScript. By integrating MySQL into your JavaScript workflow via Node.js, you can empower yourself to develop sophisticated web applications capable of handling complex data tasks seamlessly.

Database 52

Database Coding MongoDB Project 52

ProjectPro

APRIL 1, 2016

It can no longer be classified as a specialized skill, rather it has to become the enterprise data hub of choice and relational database to deliver on its promise of being the go to technology for Big Data Analytics. Insight Cloud provides services for data ingestion, processing, analysing and visualization. Computing.co.uk

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

JULY 3, 2015

There are some tech buzzwords like SAP that have been more predominant than “Big Data” Companies can analyse structured big data in real time with in-memory technology. “With Big Data, you’re getting into streaming data and Hadoop.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

NoSQL 52

NoSQL Database Hadoop Big Data 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

MARCH 20, 2024

One of the most rapidly expanding and in-demand sectors to work in is information technology. Technology is advancing so quickly that there will always be chances in tech industries like software engineering for employment and financial gain. Data engineers must know about big data technologies like Hive, Spark, and Hadoop.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

DECEMBER 26, 2023

What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

Technology 40

Technology NoSQL Hadoop Data Mining 40

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JANUARY 19, 2022

As a result, the role of data engineer has become increasingly important in the technology industry. Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Data engineers will be in high demand as long as there is data to process. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JULY 24, 2023

As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. Recently, the advent of stream processing has unlocked the door for a new era in database technology. The role of the SQL developer is also evolving as new technologies and approaches emerge.

SQL 52

SQL Database Process NoSQL 52

ProjectPro

SEPTEMBER 26, 2021

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. Skills acquired : Core data concepts. Data storage options. Now, it's different.

Database 52

Database Certification MongoDB MySQL 52

AltexSoft

SEPTEMBER 21, 2023

This endeavor would unwittingly plant the seeds for Elasticsearch, a technology that today drives data search and analytics for businesses around the globe. But like any technology, it has its share of pros and cons. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data.

Engineering 52

Engineering NoSQL Programming Language Java 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. But cloud alone doesn’t solve all the problems.

Cloud 88

Cloud Banking Kafka NoSQL 88

AltexSoft

JULY 29, 2022

The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. The toy became the official logo of the technology, used by the major Internet players — such as Twitter, LinkedIn, eBay, and Amazon. The Hadoop toy. Fault tolerance.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 24, 2023

Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data. BigQuery Storage BigQuery leverages a columnar storage format to efficiently store and query large amounts of data. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

NOVEMBER 5, 2014

Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

JULY 30, 2021

Companies need engineers that can help them transition over to Cloud Computing or senior engineers who can maintain and innovate on the already established Cloud Computing technology. Cloud Computing is the grouping of networks, hardware, services, and storage that delivers/sells computing over the internet. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 11, 2021

They store current and historical data in one place and are used to create analytical reports for workers throughout the enterprise." This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. This layer should support both SQL and NoSQL queries.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

AltexSoft

JUNE 7, 2021

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Data access options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

NOVEMBER 10, 2021

Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse vs data lake vs data lakehouse: What’s the difference. Data warehouse. Traditional data warehouse platform architecture. Data lake. websites, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Edureka

FEBRUARY 7, 2023

8) Difference between ADLS and Azure Synapse Analytics Fig: Image by Microsoft Highly scalable and capable of ingesting and processing enormous amounts of data, Azure Data Lake Storage Gen2 and Azure Synapse Analytics are both available (on a Peta Byte scale). Storage for Azure VMs is provided by Azure Disks (Virtual Machines).

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

DECEMBER 10, 2021

The service provider's data center hosts the underlying infrastructure, software, and app data. Azure Redis Cache is an in-memory data storage, or cache system, based on Redis that boosts the flexibility and efficiency of applications that rely significantly on backend data stores. Explain Azure Blob storage.

BI 52

BI Cloud Computing SQL Database 52