The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Knowledge Hut

FEBRUARY 29, 2024

This will help to create more investments, technology development and open various new jobs. Currently, numerous resources are being created on the internet consisting of data science websites, data analytics websites, data science portfolio websites, data scientist portfolio websites and so on.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams?

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

FEBRUARY 12, 2024

Organizations are racing to deploy generative AI applications to unlock new sources of value and stave off potential disruptors as this transformative technology takes hold. Today, this first-party data mostly lives in two types of data repositories. Our promise: we will show you the product.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Precisely

APRIL 30, 2024

RPA projects continue to have a high failure rate of up to 50% , so before adopting these technologies, it’s essential to understand the opportunities and limitations of automating complex processes that deal with mission-critical data. These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Data Engineering Podcast

AUGUST 31, 2020

Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage. When is Firebolt the wrong choice?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Knowledge Hut

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Information technology is now synonymous with any form of digital communications and technologies. Even analyzing consumer data or live streaming social media plays a vital role in Information Technology.

Technology 52

Technology Recruitment Media Cloud Computing 52

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.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. Data Science Roles As Data Science is a broad field, you will find multiple different roles with different responsibilities.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JANUARY 29, 2024

In contrast, ETL is primarily employed by DW/ETL developers responsible for data integration between source systems and reporting layers. Data Structure: Data wrangling deals with varied and complex data sets, which may include unstructured or semi-structured data. Frequently Asked Questions (FAQs) 1.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

APRIL 23, 2024

Big Data Training online courses will help you build a robust skill-set working with the most powerful big data tools and technologies. Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 25, 2024

Although the term is new, because of the benefits of big data , it has been used since 1990s. Big data's size constantly moves from a few dozen terabytes to many zettabytes of data. This requires techniques and technologies for diverse, complex, massive data sets. The Office of Educational Technology in the U.S.

Big Data 97

Big Data Entertainment Transportation Banking 97

Snowflake

MARCH 14, 2024

But SAP has limited analytics capabilities, and directly ingesting SAP data into Snowflake can present a challenge. Changes to SAP’s warehousing strategy over time mean many customers may need to patch together and manage multiple technologies to extract data in a useful format.

IT 93

IT Data Ingestion Data AWS 93

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

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 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

Snowflake

SEPTEMBER 19, 2023

With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics. Ahmad has not only witnessed the emergence of AI in the data space but helped shape it throughout his career. We’ve been doing analytics on structured data only.

Machine Learning 95

Machine Learning Unstructured Data Data Analytics Government 95

DataKitchen

FEBRUARY 27, 2024

Just as pilots rely on auto-pilot technologies because they understand how they work and trust the data fed into them, data engineers and business leaders must foster a similar level of trust in LLMs. This trust hinges on the quality of the input data and the transparency of the Data Journey.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

Precisely

DECEMBER 19, 2022

. #5 Let’s Talk Real Estate Data The real estate industry has experienced massive innovation and transformation over the past two decades, most of which has been driven by the internet and associated communications technologies. Internal structured data alone is not sufficient – an incomplete database is ineffective.

Data Governance 52

Data Governance Retail Government High Quality Data 52

Knowledge Hut

APRIL 23, 2024

It highlights the importance of handling data in real-time or near-real-time to extract timely insights and enable swift actions. Regarding gathering in relation to velocity, it involves the pace at which data is collected or received. Customer data come in numerous formats.

Big Data 52

Big Data Media Datasets Unstructured Data 52

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. In the last few years, Commercial Insurers have been making great strides in expanding the use of their data.

Insurance 94

Insurance Transportation Unstructured Data Manufacturing 94

U-Next

FEBRUARY 16, 2023

Cybercrimes damage the very ethos of carrying out business at a seamless flow, taking advantage of various transactional options available as technology is progressing at lightning speed. A possible prevention strategy/ approach to such cyber threats could be technological literacy and Cyber-safe behavior.

Banking 74

Banking Systems Education Government 74

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

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Rockset

NOVEMBER 5, 2021

This made sense when DataBrain didn’t have large amounts of data or complex queries to run. PostgreSQL in the cloud was also straightforward to set up and well-established as a technology. One customer was already generating 60 million rows of data. However, DataBrain’s customer base and usage was growing fast.

PostgreSQL 52

PostgreSQL Structured Data Data Lake Data Ingestion 52

Knowledge Hut

NOVEMBER 16, 2023

This Generative AI technology is like having a super-efficient assistant that can perform all sorts of tasks. As the impact of this amazing technology is huge in several domains, we'll discuss some real-world scenarios and see how it's shaping our future!

Medical 52

Medical Healthcare Hospitality Entertainment 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. A data warehouse implies a certain degree of preprocessing, or at the very least, an organized and well-defined data model.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Cloudera

SEPTEMBER 29, 2021

Forced to adapt to changes in the business landscape and customer behavior, businesses have adopted more digital tools and technologies to drive innovation and increase resilience. . This has made it imperative for governments to leverage digital technologies to become more agile and innovative and better serve their citizens. .

Medical 79

Medical Government Hospitality Electronics 79

Data Engineering Weekly

JUNE 4, 2023

Here, the RudderStack team examines prevailing approaches to the Customer Data Platform, including the recent composable CDP movement, and introduces a new approach that they believe best delivers the end goal — easy activation of complete customer profiles. The author writes a comprehensive guide about PET.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Data Engineering Podcast

JULY 1, 2018

When doing data collection from various sources, how do you ensure that intellectual property rights are respected? How do you determine the taxonomies to be used for structuring data sets that are collected, labeled or enriched for your customers? When is it beneficial to incorporate domain experts in the process?

Metadata 100

Metadata Machine Learning Data Preparation Data Collection 100

Data Engineering Podcast

DECEMBER 8, 2019

Contact Info LinkedIn Website @KentGraziano on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Snowflake

APRIL 17, 2023

Panther Labs improves point lookup queries by 100x for VARIANT data types The new features in the Search Optimization Service enable our customers to easily search in logs and semi-structured data stored in VARIANT, ARRAY, and OBJECT columns.

Food 57

Food Structured Data Utilities Accessible 57

Knowledge Hut

JULY 3, 2023

As technology evolves rapidly, the demand for skilled UI/UX designers skyrockets, creating thrilling and lucrative career opportunities. Professionals can navigate and excel in the dynamic world of UI UX career paths by perpetually refining their skills and remaining current with emerging design trends and technologies. Summing Up!

Designing 52

Designing Portfolio Education Utilities 52

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