Knowledge Hut

JULY 3, 2023

In today's fast-paced and data-driven world, users increasingly depend on real-time intuition to get an aggressive side and define a plan of action. This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

NOVEMBER 17, 2023

AWS Computation tools Amazon EC2 Amazon Elastic Compute Cloud (Amazon EC2) is a web facility that allows users to resize and compute large data on the cloud. Amazon Web Services (AWS) delivers on-demand computing resources and facilities in the cloud. AWS offers a pay-as-you-go pricing package which is calculated hourly.

AWS 52

AWS Amazon Web Services PostgreSQL Relational Database 52

Edureka

JULY 18, 2023

The data analytics industry is booming. In 2022, the global market for data analytics was worth $271.83 This growth is driven by the increasing amount of data generated, the need for businesses to make better decisions with data, and the rise of new technologies such as artificial intelligence and machine learning.

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Knowledge Hut

JANUARY 3, 2024

Explore cutting-edge techniques with the Software Developer course. Technology is changing everything from how we communicate to how we travel. And while some people may be hesitant to embrace change, others are harnessing the power of new technologies to create groundbreaking disruptive innovation technologies. What Is Disruptive Technology?

Technology 52

Technology Manufacturing Healthcare Transportation 52

Confluent

APRIL 18, 2019

Frehse and his team are using Confluent Cloud and associated IoT technologies to build a data-driven food value chain for all their partners from farm to fork. Frehse and his team are using Confluent Cloud and associated IoT technologies to build a data-driven food value chain for all their partners from farm to fork.

Food 82

Food Cloud Retail Kafka 82

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing. And data moves around.

Unstructured Data 85

Unstructured Data Pipeline-centric Database-centric Entertainment 85

Knowledge Hut

MAY 31, 2023

IoT stands for "Internet of Things," which refers to the interconnection of physical devices, vehicles, buildings, and other items embedded with electronics, software, sensors, and connectivity that enables them to collect and exchange data. However, creating an IoT product involves a lot of effort. What are IoT Tools?

Programming Language 52

Programming Language Electronics Java Programming 52

ProjectPro

OCTOBER 18, 2021

These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies. Recommender System Projects Have you ever seen movies or web series on online streaming platforms? also have the same feature.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

MAY 2, 2024

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. As estimated by DOMO : Over 2.5

Scala 94

Scala Hadoop Datasets Java 94

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure? Cloudera or Databricks?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Data Pipeline 107

Data Pipeline Data Lake ETL Tools Unstructured Data 107

Snowflake

FEBRUARY 1, 2024

To learn more about the impact AI and other developments are expected to have on advertising, media and entertainment this year, read the new report, Advertising, Media and Entertainment Data + AI Predictions 2024 , for full insights from Snowflake industry and technology experts.

Entertainment 86

Entertainment Media Data Governance Government 86

Workfall

JUNE 27, 2023

Reading Time: 7 minutes The world of creating real-time applications can get complex when we have to consider latency, fault tolerance, scalability, and possible data losses. It offers a unified solution to real-time data needs any organisation might have. Kafka can also be used to stream data from IoT devices or sensors.

Kafka 75

Kafka Architecture AWS Transportation 75

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. What Is Big Data Analytics? Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Netflix Tech

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Systems 111

Systems Entertainment Utilities Coding 111

Netflix Tech

JUNE 14, 2023

They are now backed by Federated GraphQL , a distributed approach to APIs where domain teams can independently manage and own specific sections of the API. They are now backed by Federated GraphQL , a distributed approach to APIs where domain teams can independently manage and own specific sections of the API.

Utilities 141

Utilities Java Systems AWS 141

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Apache Spark components.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

FEBRUARY 16, 2023

With its easy-to-use interface and robust features, OpenCV has become the favorite of data scientists and computer vision engineers. Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job.

Python 98

Python Process Deep Learning Algorithm 98

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Data Engineering Podcast

FEBRUARY 24, 2019

As data engineers we are responsible for building and managing the platforms that power these models. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

ProjectPro

JANUARY 24, 2023

With over 100,000 active users globally, Amazon SageMaker has quickly become a go-to tool for companies looking to incorporate machine learning into their products or services. They were able to use SageMaker's pre-built algorithms and libraries to quickly and easily train their ML models and then deploy them to the edge (i.e.,

Building 52

Building Algorithm AWS Machine Learning 52

U-Next

AUGUST 17, 2022

Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? scalability. cost-effectiveness.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. What is Cloud Computing? And maintenance was an overhead when things needed to be scaled down or up.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Four Types of Data Analytics. There are 4 types of analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Netflix Tech

OCTOBER 23, 2019

Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform ?—?which Data Visualization Native data exploration and visualization helps users learn more about their data without cluttering their notebooks.

Scala 93

Scala Machine Learning Python Coding 93

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

JANUARY 24, 2023

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Edureka

JANUARY 12, 2024

Ensures smooth operation and data handling behind the scenes. Explore our list of the top 40 Full Stack Developer Interview Questions to ace your next tech interview! The role of Full Stack Web Developer is one of the most dynamic and sought-after positions in the technology industry. Focuses on visual appeal and intuitive interaction.

NoSQL 52

NoSQL Java MongoDB Programming 52

Zalando Engineering

FEBRUARY 1, 2017

Filters offer a static set of dimensions to narrow down content; usually built offline using data mining techniques. Microservices became a design style to define system architectures, purify core business concepts, evolve solutions in parallel, make things look uniform, and implement stable and consistent interfaces across systems.

Data Mining 40

Data Mining Metadata Retail Algorithm 40

ProjectPro

DECEMBER 10, 2021

These include Azure Developer, Azure Cloud Engineer, Azure Solution Architect, Azure Administrator, Azure Data Scientist, Azure DevOps Engineer, Azure Security Engineer, etc. This blog covers the top 50 most frequently asked Azure interview questions and answers. So, let's dive right into it! What makes Azure better than AWS?

BI 52

BI Cloud Computing SQL Database 52

Netflix Tech

OCTOBER 23, 2019

Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform ?—?which Data Visualization Native data exploration and visualization helps users learn more about their data without cluttering their notebooks.

Scala 43

Scala Machine Learning Python Coding 43

ProjectPro

MAY 23, 2015

The Global Customer Insights analysis estimates that Walmart sees close to 300,000 social mentions every week. Table of Contents How Walmart uses Big Data? petabytes of unstructured data from 1 million customers every hour. Walmart has created value with big data and it is no secret how Walmart became successful.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Zalando Engineering

AUGUST 14, 2016

There is pressure to define a global platform architecture and purify concepts of core business within it. End-to-end latency is one of the user-oriented characteristics used for quality assessment of distributed software architecture. Typhoon is a distributed system stress and load testing tool.

Bytes 40

Bytes Architecture Scala Technology 40

Netflix Tech

OCTOBER 23, 2019

Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform ?—?which Data Visualization Native data exploration and visualization helps users learn more about their data without cluttering their notebooks.

Scala 40

Scala Machine Learning Python Coding 40