Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. Data Governance Trends The biggest data governance trend isn’t really a trend at all—rather, it’s a state of mind.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 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 Engineering 52

Data Engineering Data Engineer Engineering Data Architecture 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 93

Insurance Banking Data Architecture Data Ingestion 93

Data Engineering Podcast

SEPTEMBER 23, 2018

He also explains which layers are useful for the different members of the business, and which pitfalls to look out for along the path to a mature and flexible data platform. Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

DataKitchen

DECEMBER 13, 2021

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data. Data Governance as Code. Top 10 Blog Posts.

Data Governance 98

Data Governance Data Architecture Government Data Engineering 98

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Big Data 57

Big Data Data Engineering Data Engineer Engineering 57

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Programming Healthcare 52

Knowledge Hut

MARCH 15, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 20, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

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. Contents: What is the role of an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 81

Telecommunication Data Architecture Government Architecture 81

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cloud 95

Cloud Government Cloud Computing Data Architecture 95

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? Hybrid Data Cloud and Data Governance. Having established the need for a hybrid data cloud strategy, the question becomes how to manage that environment. Cloudera: The Telco Data Cloud.

Telecommunication 101

Telecommunication Cloud Finance Government 101

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Iceberg is designed to be open and engine agnostic allowing datasets to be shared.

Metadata 97

Metadata Data Architecture BI Machine Learning 97

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Edureka

AUGUST 29, 2024

The responsibilities of a data engineer imply that the person in this role designs, creates, develops, and maintains systems and architecture that allow them to collect, store, and interpret data. What Does a Data Engineer Do? Why Choose Data Engineering as a Career?

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Get the Trendbook What is the Impact of Data Governance on GenAI?

Government 52

Government Data Governance Finance Metadata 52

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 89

Metadata BI Data Lake Business Intelligence 89

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Machine Learning 72

Machine Learning Manufacturing Cloud Computing Banking 72

Databand.ai

AUGUST 30, 2023

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

RandomTrees

SEPTEMBER 27, 2024

Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Towards Data Science

SEPTEMBER 11, 2024

As scale and sophistication grows, data teams will further differentiate between foundational and derived data products. A foundational data product is typically owned by a central data platform team (or sometimes a source aligned data engineering team). How well maintained is it?

Government 64

Government Data Engineering Data Engineer Data 64

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? Atlan Atlan offers a modern approach to data governance.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Monte Carlo

APRIL 1, 2021

Here’s where data catalogs fall short and how data discovery platforms and tools can help ensure your data lake doesn’t turn into a data swamp. Data discovery tools and platforms can help. As companies lean into lakes, they’re often compromising the organization and order implicit in storing data in the warehouse.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. This platform, combined with Wizeline’s deep AI expertise, provides a powerful foundation and offering for smarter, faster, and more secure data operations. . “Our collaboration with Ascend.io “Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically). Assist in developing and maintaining data governance policies and standards.

Engineering 52

Engineering Healthcare Data Warehouse Scala 52

Snowflake

DECEMBER 12, 2023

Iceberg Tables bring the easy management and great performance of Snowflake to data stored externally in an open source format. Snowflake Horizon Seamless data governance with a new user experience in Snowsight – general availability Users can effortlessly explore objects of interest and perform essential actions—all without SQL.

Metadata 96

Metadata Python AWS Government 96

Snowflake

JUNE 7, 2023

To run a diverse set of workloads with minimal operational burden, Snowflake built an intelligent engine that plans and optimizes the execution of concurrent workloads using a multi-clustered, shared data architecture. This provides abstraction to organize data into named columns, similar to a table.

Java 59

Java Python Designing Process 59