Snowflake

MARCH 18, 2024

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

Unstructured Data 110

Unstructured Data Government Cloud Data Pipeline 110

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

Knowledge Hut

JANUARY 18, 2024

Top 10 Data Science Jobs for Freshers in 2023 As a fresher, you're probably curious about the various data science career options. This section will help you know the top 10 Data Scientist jobs for freshers. Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Snowflake

JULY 10, 2023

“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

JANUARY 18, 2024

Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. As the world on the internet is becoming our second home, Big Data has exploded. Data Science is the study of this big data to derive a meaningful pattern.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Striim

SEPTEMBER 11, 2024

Data Pipeline Use Cases Data pipelines are integral to virtually every industry today, serving a wide range of functions from straightforward data transfers to complex transformations required for advanced machine learning applications. Data storage Data storage follows.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Sync Computing

JANUARY 27, 2025

Ideal for real-time analytics, high-performance caching, or machine learning, but data does not persist after instance termination. Amazon S3 : Highly scalable, durable object storage designed for storing backups, data lakes, logs, and static content. C6i , C7g ). R7g , X2idn ) are ideal.

AWS 52

AWS Data Lake Machine Learning Big Data 52

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. Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Data Engineering Weekly

DECEMBER 16, 2024

Vector Search and Unstructured Data Processing Advancements in Search Architecture In 2024, organizations redefined search technology by adopting hybrid architectures that combine traditional keyword-based methods with advanced vector-based approaches.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Knowledge Hut

NOVEMBER 7, 2023

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. To learn more about cloud computing architecture take up the best Cloud Computing courses by Knowledgehut.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

DareData

JANUARY 30, 2023

Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it. Examples of NoSQL databases include MongoDB or Cassandra.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 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 105

Engineering Raw Data Data Science Machine Learning 105

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Sync Computing

NOVEMBER 7, 2024

The ability to collect, analyze, and utilize data has revolutionized the way businesses operate and interact with their customers in various industries, such as healthcare, finance, and retail. Other industries are natively intertwined with data, like those stemming from mobile devices, internet-of-things, and modern machine learning and AI.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 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. Hadoop nodes: masters and slaves.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

RandomTrees

SEPTEMBER 17, 2024

Data Discovery: Users can find and use data more effectively because to Unity Catalog’s tagging and documentation features. Unified Governance: It offers a comprehensive governance framework by supporting notebooks, dashboards, files, machine learning models, and both organized and unstructured data.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

AltexSoft

SEPTEMBER 23, 2021

A data lake is quite opposite of a DW, as it stores large amounts of both structured and unstructured data. It uses the ELT (Extract, Load, Transform) that assumes loading data as is and transforming it once it is requested. Data lakes are typically intended for data exploration and machine learning purposes.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Database 72

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

APRIL 23, 2024

It concentrates on structured data within predefined parameters or hypotheses to find specific patterns or relationships. Data Big Data Data Mining Big data is related to sizable and complex datasets that include structured, semi-structured, and unstructured data from a variety of sources.

Data Mining 52

Data Mining Big Data Database-centric Datasets 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. billion data points.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? billion by end of 2017.Organizations

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52