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. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

Data Engineering Podcast

FEBRUARY 26, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. We feel your pain.

Building 147

Building Machine Learning Metadata Data Integration 147

Data Engineering Podcast

MARCH 18, 2023

Summary As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

Data Engineering Podcast

MARCH 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze.

Building 147

Building Database Design Machine Learning Metadata 147

Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. They’ll prioritize data solutions that work across clouds.

Unstructured Data 104

Unstructured Data Banking Government Insurance 104

Data Engineering Podcast

FEBRUARY 19, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze.

IT 147

IT Data Lake Metadata Data Warehouse 147

phData: Data Engineering

NOVEMBER 1, 2024

Quotes It's extremely important because many of the Gen AI and LLM applications take an unstructured data approach, meaning many of the tools require you to give the tools full access to your data in an unrestricted way and let it crawl and parse it completely. Data governance is the only way to ensure those requirements are met.

Government 52

Government Data Governance Finance Metadata 52

Data Engineering Podcast

MARCH 25, 2023

In this episode they explain why streaming architectures are so challenging, how they have designed Grainite to be robust and scalable, and how you can start using it today to build your streaming data applications without all of the operational headache. As your business adapts, so should your data.

MySQL 130

MySQL Python Architecture Machine Learning 130

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Ascend.io

OCTOBER 8, 2024

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Architecture 52

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineer 52

Data Engineer Data Engineering Engineering Programming Language 52

Ascend.io

JULY 3, 2024

This is where DataOps comes in—a methodology designed to streamline and automate data workflows, ensuring faster and more reliable data delivery. By adopting this approach, organizations can overcome common data management challenges and unlock the full potential of their data. The result?

Data Workflow 52

Data Workflow Data Pipeline Data Data Engineer 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. According to the 2020 U.S.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Towards Data Science

MAY 19, 2023

Every organisation wants to become data-driven, but the reality is that many organisations are hoarding data, spending millions of dollars per year on technology and human resources, and hoping for the best. So what does Entropy look like in the context of a data platform? Technology Software ROI.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. 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. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with. billion by 2026.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Management 52

Knowledge Hut

NOVEMBER 2, 2023

This article will discuss the differences between the Azure data engineer vs Azure devops engineer job titles in order to give you some valuable insights into these careers to provide clarity regarding which one would be a better fit for you. Who is an Azure Data Engineer? Who is an Azure DevOps Engineer?

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Ripple Engineering

JULY 9, 2024

Introduction: Embracing the Future with Ripple's Data Platform Migration Welcome to a pivotal moment in Ripple's data journey. As leaders at the intersection of blockchain technology and financial services, we're excited to share a transformative step in our data management evolution.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

Knowledge Hut

MARCH 26, 2024

An essential position in IT is that of a solution architect who develops and deploys technological solutions that are customized to satisfy certain business requirements. Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

SEPTEMBER 25, 2023

You can learn deeply about the Azure learning journey that leads to the position of an Azure Data Engineer Associate on the Microsoft Azure platform. Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

Precisely

MAY 2, 2024

When it comes to customer-related transactions and analytics, your data’s integrity, accuracy, and accessibility directly impact your business’s ability to operate efficiently and deliver value to customers. That’s what makes slow, manual customer data management so damaging. The solution?

Coding Skills 69

Coding Skills Food Data Portfolio 69

Precisely

MARCH 14, 2023

New technologies are making it easier for customers to process increasingly large datasets more rapidly. And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Simply design data pipelines, point them to the cloud environment, and execute.

Data Integration 52

Data Integration High Quality Data BI Data 52

Cloudera

OCTOBER 18, 2021

We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . Carl Olofson, Research VP, Data Management Software, IDC – Industry Transformation .

Banking 110

Banking Transportation Government Consulting 110

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. What are some ways that we can use deep learning as part of the data management process?

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

JULY 5, 2024

Early Days: Picture this – a time when data was handled manually, no computers in sight. Computing Revolution: Enter computers, and data management took a leap. Big Data Boom: Fast forward to the 2000s, and Big Data crashed onto the scene. It was all about paperwork and manual record-keeping. According to the U.S.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

Knowledge Hut

DECEMBER 26, 2023

What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Precisely

JANUARY 6, 2023

Solution Page Environmental, Social, and Governance (ESG) Data Solutions Interested parties increasingly want to dive deeper and understand how the companies that they’re engaged with support ESG initiatives. See what that can mean for your organization.

Government 52

Government Education Data Integration Media 52

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 87

Data Architecture Architecture Unstructured Data Government 87