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 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 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. See it in action and schedule a demo with one of our data experts today.

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. See it in action and schedule a demo with one of our data experts today.

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

MARCH 18, 2023

He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Join in with the event for the global data community, Data Council Austin.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

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

ProjectPro

APRIL 8, 2015

The open source framework hadoop is somewhat immature and big data analytics companies are now eyeing on Hadoop vendors- a growing community that delivers robust capabilities, tools and innovations for improvised commercial hadoop big data solutions. billion by 2020. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Cloudera

DECEMBER 12, 2022

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. Pat isn’t the only analyst talking hybrid and multi-cloud for data management, although he may be the most entertaining. Neither do the point solution (more on them later).

Cloud 98

Cloud Entertainment Telecommunication Insurance 98

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 114

Banking Transportation Government Consulting 114

Data Engineering Podcast

FEBRUARY 24, 2019

In this episode he shares his experiences experimenting with deep learning, what data engineers need to know about the infrastructure and data requirements to power the models that your team is building, and how it can be used to supercharge our ETL pipelines. How does that shift the infrastructure requirements for our platforms?

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 98

Kafka Technology IT Government 98

Snowflake

FEBRUARY 5, 2024

Mining unstructured data will be key to unlocking novel analytics Companies that can harness unstructured data for gen AI-enabled insights will be able to open up new analytics use cases in every subsector — from banking and asset management to payments and insurance. They’ll prioritize data solutions that work across clouds.

Unstructured Data 105

Unstructured Data Banking Government Media 105

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 91

Data Architecture Architecture Unstructured Data Government 91

Towards Data Science

MAY 19, 2023

This can be both a cultural and a technology problem, we will tackle the cultural aspect later in this article, but for the technology part, this often arises when the technical foundation does not allow for flexibility and democratisation of both the data and the infrastructure producing it.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

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

DataKitchen

APRIL 13, 2021

Hitachi Vantara – Digital operations, infrastructure solutions, IOT applications, data management, and multi-cloud acceleration. Atlan – A data workspace for data catalogs, quality, lineage, and exploration. Zaloni – The leading augmented data management platform.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

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

Knowledge Hut

APRIL 25, 2024

Apache Spark: Apache Spark is a high-performance big data processing engine that can be used for a variety of tasks, including machine learning and streaming analytics. Cloudera: Cloudera is a leading provider of big data solutions, offering a comprehensive platform that includes everything from data storage to analysis and machine learning.

Big Data 98

Big Data Technology Hadoop NoSQL 98

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 Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 73

Process Kafka Government Big Data 73

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 Engineering 52

Data Engineering Data Engineer Engineering Programming Language 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

Ascend.io

DECEMBER 4, 2024

Further Exloration: What is data automation? Deploy DataOps DataOps , or Data Operations, is an approach that applies the principles of DevOps to data management. It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 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. What does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Possible Careers: Cloud Engineer Data Scientist Data Engineer Data Manager 4.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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 Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

phData: Data Engineering

NOVEMBER 1, 2024

Monitor and Adapt: Continuously assess the impact of GenAI on data governance practices and be prepared to adapt policies as technologies evolve. Data governance is the only way to ensure those requirements are met. Chief Technology Officer, Finance Industry For all the quotes, download the Trendbook today!

Government 52

Government Data Governance Finance Metadata 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

Ascend.io

DECEMBER 4, 2024

Further Exloration: What is data automation? Deploy DataOps DataOps , or Data Operations, is an approach that applies the principles of DevOps to data management. It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 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 Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 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 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Ascend.io

SEPTEMBER 5, 2023

In the fast-evolving landscape of cloud data solutions, Snowflake has consistently been at the forefront of innovation, offering enterprises sophisticated tools to optimize their data management. This is crucial for organizations that use both SQL and Python for data processing and analysis.

IT 59

IT Scala Java Programming Language 59