Cloudera

OCTOBER 28, 2021

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. There is a wealth of data now available to make this possible. This results in enhancements in finance reporting or compliance.

Insurance 101

Insurance Transportation Unstructured Data Manufacturing 101

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.

Unstructured Data 95

Unstructured Data Pipeline-centric Database-centric Entertainment 95

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

Cloudera

OCTOBER 17, 2023

Architecture decisions have long-term effects and an important consideration when choosing a stream processing engine is whether the technology will stagnate or continue to evolve with contributions from the open source community. What about data lock-in? Will I be able to find developers for this three years from now?

Kafka 83

Kafka Database-centric Pipeline-centric Database 83

Cloudera

DECEMBER 11, 2020

Based in Germany, Merck KGaA is one of the leading science and technology companies, operating across healthcare, life science, and performance materials business areas. From advancing gene-editing technologies and discovering unique ways to treat the most challenging diseases, to enabling the intelligence of devices.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Striim

AUGUST 22, 2024

For instance, say you work in a manufacturing plant and are looking to use real-time analytics to find faults in your machinery. You can use machine sensors to collect data and analyze it in real time to deduct if there are any signs of failure. The most common storage architectures for big data include data warehouses and lakes.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Snowflake

JULY 10, 2023

Mike Tuck, Air Pollution Specialist Why unstructured data? Historically, organizations have relied heavily on structured tables and semi-structured data like JSON and XML for analytical workloads and applications. The output of UDFs and UDTFs can be stored as columns in a table for further analysis and file retrieval.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. 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.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

OCTOBER 24, 2023

However, most of the day, analysts work with technology; therefore, if you are averse to modern technology, this isn't your profession. SQL and SQL Server BAs must deal with the organization's structured data. BAs can store and process massive volumes of data with the use of these databases.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

To design and research prospective organizational challenge solutions, including system and process changes, they acquire and analyze data. Digital Marketer  You should be able to lead integrated digital marketing campaigns from concept to execution and have a firm knowledge of the most recent marketing technologies and tactics.

Banking 52

Banking Insurance Finance Cloud Computing 52

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. How data engineering works under the hood.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MARCH 2, 2023

Data modeling involves creating a conceptual representation of data objects and their relationships to each other, as well as the rules governing those relationships. To design an effective data governance program, it’s crucial to choose an operational model that fits your business size and structure.

Data Governance 52

Data Governance Government Programming Healthcare 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. 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

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

AltexSoft

NOVEMBER 1, 2023

For others, however, this will be a car manufacturer with the same name. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Let’s take the name Lincoln , for example. A simple word, it has different meanings.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

OCTOBER 20, 2021

The Gartner Hype Cycle Methodology is an industry-approved representation of how a technology or application will mature over time. It represents initial interest, a peak in its hype, rolls down to reduced interest in the technology followed by maturity and implementation. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago.

Hadoop 40

Hadoop Retail Healthcare Banking 40

U-Next

JULY 25, 2022

Web Designing: This course enables students to create amazing web interfaces with client-side scripting technologies such as HTML, CSS, etc. . Artificial Intelligence: The program will cover major Al technologies. The course will help students to know more about the Information Technology Act. . Data Structures.

Computer Science 52

Computer Science Software Engineer Software Engineering Java 52

Knowledge Hut

DECEMBER 26, 2023

You can also gain knowledge and certification on big data in detail through Big Data certification online courses. Top Big Data Books for Beginners 1. Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

OCTOBER 27, 2022

It doesn’t store any data on your computer’s hard drive and allows users to access data from faraway servers. The AWS Solutions Architect team is tasked to help customers implement highly scalable, flexible, and resilient cloud technologies. . The company provides structured data management services exclusively.

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

U-Next

SEPTEMBER 21, 2022

Not all of this data is erroneous. The majority of this unstructured, meaningless data can be well converted into a more organized (tabular/more comprehensible) format. In simpler terms, good data use implies thriving businesses. . When compared to other data applications, it is a more efficient and cost-effective option. .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

ProjectPro

MARCH 14, 2014

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives. Ltd KPIT Technologies Ltd Tata Consultancy Services Tech Mahindra Ltd. Randstad India Ltd.

Hadoop 40

Hadoop Big Data Data Mining Retail 40