Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention.

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Project Healthcare Deep Learning Transportation 96

Knowledge Hut

APRIL 23, 2024

Data Usage It stores the data in a sorted manner for future use. It uses data from the past and present to make decisions related to future growth. Data Type Data science deals with both structured and unstructured data. Business Intelligence only deals with structured data.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

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

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.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

JANUARY 19, 2024

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. While flexible, they may require more extensive management to ensure data quality and security.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. Enter Snowpark

Engineering 82

Engineering Raw Data Data Science Scala 82

Knowledge Hut

NOVEMBER 17, 2023

After the introduction of cloud computing, the need for managing expanding data is getting more critical. But running complex algorithms on personal machines is getting challenging due to memory and computing constraints. People started leveraging the cloud's power to run complex algorithms to solve these challenges.

AWS 52

AWS Data Science Certification Amazon Web Services 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Silectis

JANUARY 3, 2021

Advanced Analytics The process of discovering deeper insights in data than typically enabled by most business intelligence (BI) tools. BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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? Distributing data across multiple data centers is easy with replication.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

ProjectPro

JANUARY 24, 2023

It is also possible to use BigQuery to directly export data from Google SaaS apps, Amazon S3, and other data warehouses, such as Teradata and Redshift. Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 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

Zalando Engineering

NOVEMBER 6, 2017

How can data be leveraged in new ways? How can sense be made out of all the data being generated in the fashion ecosystem online? Outside Zalando, Ana has always been a key contributor to the Data Scientist community, presenting at meetups and conferences. Quality structured data is not easy to get in fashion.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

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

AltexSoft

JULY 27, 2021

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Edureka

DECEMBER 21, 2023

Content Focus : Bing primarily focuses on web searches and structured data. Unlike some AI counterparts, Gemini thrives on structured and unstructured data, wielding knowledge from scientific articles to code repositories. Beyond text, it tackles images and videos, making it a true multimodal maestro.

Media 40

Media Education Accessible Accessibility 40

ProjectPro

NOVEMBER 14, 2015

It sits within the Apache Hadoop umbrella of solutions and facilitates the fast development of end-to-end Big Data applications. It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala.

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Hadoop Project Big Data Healthcare 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 4, 2015

In our earlier articles, we have defined “What is Apache Hadoop” To recap, Apache Hadoop is a distributed computing open source framework for storing and processing huge unstructured datasets distributed across different clusters. Skybox uses Hadoop to analyse the large volumes of image data downloaded from the satellites.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Sports brands like ESPN have also got on to the big data bandwagon. ” Interesting?

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

NOVEMBER 11, 2014

There is great excitement around Apache Spark as it provides fundamental advantages in interactive data interrogation on in-memory data sets and in multi-pass iterative machine learning algorithms. Programmers can perform streaming, batch processing, and machine learning, all in the same cluster.

Hadoop 40

Hadoop Scala Machine Learning Java 40

ProjectPro

MARCH 14, 2014

3 LinkedIn Social site 2X4 and 2X6 cores – 6X2TB SATA 4100 nodes LinkedIn's data flows through Hadoop clusters.User activity, server metrics, images,transaction logs stored in HDFS are used by data analysts for business analytics like discovering people you may know. Job site 15 nodes Runs Machine learning Algorithms 44 CDU now!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. 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

NOVEMBER 1, 2023

Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 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?

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Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

AUGUST 22, 2022

Remember that a data fabric is NOT a single software tool you can buy and deploy overnight. It is a general design approach that leverages data virtualization principles. A data fabric supports structured, unstructured, and semi-structured data whether it comes in real-time or generated in batches.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Cloudera

SEPTEMBER 6, 2018

Handle increases in data volume gracefully. Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Provide audit and data lineage information to facilitate regulatory reviews.

Banking 40

Banking Machine Learning Big Data Scala 40

AltexSoft

JUNE 7, 2021

Main users of Hive are data analysts who work with structured data stored in the HDFS or HBase. Data management and monitoring options. Among solutions facilitation data management are. Hadoop uses Apache Mahout to run machine learning algorithms for clustering, classification, and other tasks on top of MapReduce.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

U-Next

AUGUST 11, 2022

A Data Scientist’s job entails deciphering and analyzing complex, unstructured data gathered from several sources. Read on to learn about the career opportunities and salary of a Data Scientist. Who are Data Scientists, and what is their work? Skill requirements for Data Science. Introduction.

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Data Science Data Cleanse Unstructured Data Machine Learning 40