The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 52

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. This approach doesn’t just solve existing problems; it paves the way for a new era of efficiency and effectiveness in data management.

Raw Data 75

Raw Data Utilities Government Data 75

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

MARCH 7, 2024

The greatest data processing challenge of 2024 is the lack of qualified data scientists with the skill set and expertise to handle this gigantic volume of data. Inability to process large volumes of data Out of the 2.5 quintillion data produced, only 60 percent workers spend days on it to make sense of it.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

ThoughtSpot

MARCH 5, 2024

While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Snowflake's new dynamic tables feature redefines how BI and analytics teams approach data transformation pipelines.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. Furthermore, they construct software applications and computer programs for accomplishing data storage and management.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Data Engineering Podcast

DECEMBER 11, 2021

In this episode he explains how it can be used to build rich and useful profiles of your users, the system architecture that powers it, and some of the ways that it is being integrated into an organization’s broader data ecosystem. constraints on data manipulation, security, privacy concerns, etc.)

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

The Modern Data Company

FEBRUARY 15, 2023

Maintaining a clear strategy for gathering, storing, and labeling data is challenging. Limited resources: Data management has always been resource intensive, but not all organizations can maintain a full data team. Without suitable resources for company-wide data management, it’s easier to fall behind.

Government 98

Government Data Governance Raw Data Data 98

AltexSoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

Software engineer positions vary by their functions and diverse aspects of software development, handling, and data management. Data Engineer Data engineers develop or strategize software to retrieve, sort, and process raw data to extract meaningful information to assess an operation.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

JUNE 28, 2023

Business Intelligence Analyst Job Description Popularly known as BI analysts, these professionals use raw data from different sources to make fruitful business decisions. So, the first and foremost thing to do is to gather raw data. You too can take this course to enhance your skills and knowledge.

Business Intelligence 52

Business Intelligence BI Raw Data Education 52

The Modern Data Company

APRIL 15, 2024

Make your data work for you by integrating it seamlessly across the organization, increasing its accessibility, and therefore, its value. The Essence of Data Products Data Products aren’t merely tools or datasets; they are catalysts for transformation designed to bridge the gap between raw data and actionable insights.

Raw Data 52

Raw Data Government Data Datasets 52

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools. Trifacta Trifacta is a data testing tool that helps organizations prepare and transform their data for analysis.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

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

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. Earlier we mentioned ETL or extract, transform, load.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

DECEMBER 16, 2019

Even if you already have a metadata repository this is worth a listen to learn more about the value that visibility of your data can bring to your organization. You work hard to make sure that your data is clean, reliable, and reproducible throughout the ingestion pipeline, but what happens when it gets to the data warehouse?

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Cloudera

JANUARY 20, 2021

In order to enable connected manufacturing and emerging IoT use cases, ECC needs a solution that can handle all types of diverse data structures and schemas from the edge, normalize the data, and then share it with any type of data consumer including Big Data applications. . Data Collection Using Cloudera Data Platform.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

Data Engineering Podcast

MARCH 4, 2018

Your host is Tobias Macey and today I’m interviewing Roger Chen about data liquidity and its impact on our future economies Interview Introduction How did you get involved in the area of data management?

Raw Data 100

Raw Data Machine Learning Data Pipeline Data 100

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Snowflake

NOVEMBER 30, 2023

How many tables and views will be migrated, and how much raw data? Are there redundant, unused, temporary or other types of data assets that can be removed to reduce the load? What is the best time to extract the data so it has minimal impact on business operations?

Data Warehouse 99

Data Warehouse Banking Data Cloud 99

Ascend.io

JANUARY 10, 2024

Visual representation of Conway’s Law ( source ) Read More: The Chief AI Officer: Avoid The Trap of Conway’s Law Process: Ensuring Data Readiness The backbone of successful AI implementation is robust data management processes. AI models are only as good as the data they consume, making continuous data readiness crucial.

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Edureka

AUGUST 2, 2023

Data scientists can use SQL to write queries that get particular subsets of data, join various tables, perform aggregations, and use sophisticated filtering methods. Data scientists can also organize unstructured raw data using SQL so that it can be analyzed with statistical and machine learning methods.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

JANUARY 24, 2024

They employ a wide array of tools and techniques, including statistical methods and machine learning, coupled with their unique human understanding, to navigate the complex world of data. A significant part of their role revolves around collecting, cleaning, and manipulating data, as raw data is seldom pristine.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

U-Next

OCTOBER 16, 2022

The KDD process in data mining is used in business in the following ways to make better managerial decisions: . Data summarization by automatic means . Analyzing raw data to discover patterns. . This article will briefly discuss the KDD process in data mining and the KDD process steps. . What is KDD? .

Data Mining 40

Data Mining Process IT Raw Data 40

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 87

Data Lake Data SQL Data Warehouse 87

Knowledge Hut

DECEMBER 28, 2023

Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Its comprehensive suite of services can handle data at scale. Among these, Microsoft Azure stands out as a leader.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Grouparoo

JANUARY 11, 2022

A data warehouse is a unified repository where data from diverse sources undergo aggregation and integration into a usable source of information. To achieve this, a data warehouse will require processes to gather and integrate data, manage data quality, create metadata, and support any regulatory compliance and governance procedures.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Transforming raw data into actionable insights for informed business decisions. Coding Coding is the wizardry behind turning data into insights. A data scientist course syllabus introduces languages like Python, R, and SQL – the magic wands for data manipulation.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Knowledge Hut

NOVEMBER 20, 2023

Experience in data management and analytics (for non-entry-level posts). Preferred Qualification Requirements and Experience Required Here is a list of some preferred qualifications for an AI specialist: Bachelors in computer science, statistics, or a related field. Coding and programming knowledge.

Recruitment 52

Recruitment Algorithm Machine Learning Computer Science 52

Precisely

JANUARY 5, 2023

For some companies that do have a formal strategy, that strategy may be little more than a technical exercise, the primary purpose of which is to lay out the nuts and bolts of data management, compliance, and similar baseline requirements.

Data Governance 52

Data Governance Government Data Raw Data 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

NOVEMBER 2, 2023

Azure Data Engineer vs Azure Devops: Comparison Table The roles of Azure Data Engineer and Azure DevOps Engineer operate independently inside the Azure ecosystem, with each focused on a different area of software development and data management.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

DECEMBER 7, 2021

Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. While data warehouses contain transformed data, data lakes contain unfiltered and unorganized raw data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52