Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

SEPTEMBER 29, 2021

Machine learning helps solve problems similar to how humans would but using large-scale data and automated processes. Machine learning has algorithms that are used in natural language processing, computer vision , robotics more efficiently. Machine learning is a way to solve real-world AI problems. This is called supervised learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Knowledge Hut

JULY 26, 2023

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Edureka

FEBRUARY 8, 2024

3D Rendering and Media Processing- High-performance computing is crucial for rendering graphics and processing media files. Batch Processing- C-Series instances excel in scenarios that involve batch processing, where large amounts of data need to be processed in parallel.

AWS 52

AWS NoSQL Deep Learning Datasets 52

phData: Data Engineering

SEPTEMBER 19, 2023

Before diving into the data models for data lakes, let’s look at the difference between a data warehouse and a data lake. There are tools designed specifically to analyze your data lake files, determine the schema, and allow for SQL statements to be run directly off this data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

ProjectPro

MARCH 17, 2021

Machine learning makes use of a set of learning algorithms (supervised or unsupervised learning process) to analyze the data, interpret it, learn from it, and make the best possible business decisions based on the learnings. But how will the ML algorithm know which one is Apple and which one is Orange?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

AltexSoft

AUGUST 29, 2023

Unlike traditional DWs, cloud data warehouses like Snowflake, BigQuery, and Redshift come pre-equipped with advanced features; learn more about the differences in our dedicated article. Unlike data warehouses, data lakes allow a schema-on-read approach, enabling greater flexibility in data storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Zalando Engineering

NOVEMBER 6, 2017

Fashion Content Platform - Finalists for SME Award In the age of vast amounts of fashion data, fashion blogs and social media influencers, predicting trends is a hard problem. Traditionally, fashion purchasing and trendspotting was done with manual research; offline at shows but also online with blogs and social media.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

Knowledge Hut

DECEMBER 26, 2023

Prepare and carry out all digital marketing strategies, including email, social media, SEO/SEM, and display advertising campaigns. Creating, establishing, and sustaining our social media presence. All digital marketing campaign performance is measured, reported, and evaluated against set objectives (ROI and KPIs).

Banking 52

Banking Insurance Finance Cloud Computing 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more. Wondering if Spark is suitable for Big Data?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Confluent

AUGUST 29, 2019

We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships.

Kafka 55

Kafka Process Algorithm Cloud 55

ProjectPro

AUGUST 6, 2015

Companies like Electronic Arts, Riot Games are using big data for keeping a track of game play which helps predict performance of the play by analysing 4TB of operational logs and 500GB of structured data. Sports brands like ESPN have also got on to the big data bandwagon.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

NOVEMBER 14, 2015

Hadoop can be used to carry out data processing using either the traditional (map/reduce) or Spark-based (providing an interactive platform to process queries in real-time) approach. Given a graphical relation between variables, an algorithm needs to be developed which predicts which two nodes are most likely to be connected?

Hadoop 52

Hadoop Project Big Data Healthcare 52

Netflix Tech

OCTOBER 31, 2018

Netflix Media Database?—?the the Media Timeline Data Model In the previous post in this series, we described some important Netflix business needs as well as traits of the media data system?—?called This blog post details the structure of the media timeline data model used by NMDB called a “ Media Document ”.

Media 54

Media Metadata Data MongoDB 54

Knowledge Hut

APRIL 25, 2024

Even analyzing consumer data or live streaming social media plays a vital role in Information Technology. Information Technology is thereby used on a personal level to connect and communicate with other people via playing games, sharing media content, shopping, and of course, being social. They are: 1.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

MARCH 22, 2024

The best data structure courses provide comprehensive coverage of linear structures like arrays and linked lists as well as non-linear structures like trees and graphs, with hands-on programming practice to build skill in implementing optimised algorithms using appropriate storage schemes.

Algorithm 52

Algorithm Data Datasets Accessible 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

MAY 20, 2015

To address this problem, Trifacta uses Predictive Interaction technology for making data manipulation a visual experience by helping users easily and quickly identify features of interest. Palantir Metropolis- This product focusses on information management, data integration and quantitative analytics.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

AltexSoft

JULY 27, 2021

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

APRIL 25, 2024

Variety: Unstructured data, semi-structured data, and raw data are only a few examples of the variety of data kinds that exist. It is effective to use a recommendation engine that makes use of data filtering technologies that gather data and then filter it using algorithms.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. But often, it’s not enough to scale your business or reach new audiences.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 1, 2023

A corpus can range from a set of news articles to academic journals or even social media posts. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. After the features are prepared, the model is trained on this enriched data.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

AltexSoft

JULY 18, 2023

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. It extends the functionality of Spark to deal with graph-parallel computations, letting users model and transform their data as graphs. Machine learning. Stream processing.

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

OCTOBER 20, 2021

The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Cloudera

OCTOBER 30, 2018

The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customer data. Additionally, they only provide one piece of the puzzle.

Unstructured Data 42

Unstructured Data Data Lake Algorithm Machine Learning 42

U-Next

SEPTEMBER 21, 2022

The idiom “data is the new oil” appropriately explains how data is fueling practically every possible system across the planet. Everything from your online buying experience to your pastime, what you stream, and what you share on social media creates and operates on data that millions of people like you generate.

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. Generally, Twitter sentiment is analyzed in most big data projects using parsing. Demonstrated ability to utilize popular big data tools such Apache Hadoop , Apache Spark , etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. This features a familiar DataFrame API that connects with various machine learning algorithms to accelerate end-to-end pipelines without incurring the usual serialization overhead. CMAK is developed to help the Kafka community.

Big Data 52

Big Data Project Metadata Programming Language 52

Cloudera

JANUARY 11, 2018

Data science and advanced analytics deliver more value if organizations can deploy models and algorithms on detailed data brought together from many sources, not just on summaries or samples contained in a single data warehouse or data mart.” External social media data could also be valuable for analysis.”

Data Warehouse 40

Data Warehouse Telecommunication Media Retail 40

ProjectPro

MARCH 15, 2016

Hadoop allows us to store data that we never stored before. They store and analyse massive volume of data from their manufactured mobile phones. To paint a fair picture of Nokia’s Big Data, they manage 100 TB of structured data along with 500+ TB of semi-structured data.

Hadoop 40

Hadoop Retail Healthcare Banking 40