Precisely

DECEMBER 9, 2024

Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%). The results are in!

Data Governance 63

Data Governance Government Data Integration Architecture 63

Snowflake

DECEMBER 5, 2023

This lets them leverage the familiar development interface of a notebook while directing complex data preparation and feature engineering steps to run in Snowflake (rather than having to copy and manage copies of data inside their notebook instance). Learn more about the program and how to apply here.

AWS 124

AWS Amazon Web Services Government Machine Learning 124

Cloudera

APRIL 11, 2024

Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space. What is the best way to build a strategic partner marketing program?

Food 91

Food Data Architecture Programming Architecture 91

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. Data Governance as Code. How to Build a Successful Cloud DataOps Program. Top 10 Blog Posts.

Data Governance 98

Data Governance Data Architecture Government Data Engineer 98

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.

Data Architect 87

Data Architect Certification Generalist Big Data 87

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Architecture 98

Confluent

JULY 17, 2019

Together, MongoDB and Apache Kafka ® make up the heart of many modern data architectures today. This API enables users to leverage ready-to-use components that can stream data from external systems into Kafka topics, as well as stream data from Kafka topics into external systems. Getting started.

MongoDB 21

MongoDB Kafka Database Medical 21

Ascend.io

OCTOBER 25, 2023

This means not only understanding where you stand, but also recognizing how the evolving patterns in the broader industry might align with or diverge from your own data programs. Over the past four years, we have conducted an industry-wide DataAware Pulse Survey to capture the current state of data teams.

Data Programming 52

Data Programming Data Engineer Data Engineering Programming 52

Data Engineering Podcast

OCTOBER 28, 2019

In an effort to create a better abstraction for building data applications Nick Schrock created Dagster. In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming.

Building 100

Building Data Pipeline Programming Language Kafka 100

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Cloud 78

Cloud Telecommunication Data Governance Government 78

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Podcast

NOVEMBER 4, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Programming Language 100

Programming Language Data Engineering Data Engineer Kafka 100

Rockset

JULY 21, 2020

And of course, microservices allow for independent software lifecycle + deployment schedules and also allows you to leverage a different programming languages + runtime + libraries than what your main application is built in.

Data Architecture 40

Data Architecture Architecture Building Data 40

Data Engineering Podcast

SEPTEMBER 30, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, Data Council in Barcelona, and the Data Orchestration Summit.

Data Pipeline 100

Data Pipeline Machine Learning Media Data 100

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. The challenge is that many business leaders still struggle to turn their data into tangible improvements in CX.

High Quality Data 104

High Quality Data Data Governance Government Banking 104

Edureka

APRIL 9, 2025

Development of Some Relevant Skills and Knowledge Data Engineering Fundamentals: Theoretical knowledge of data loading patterns, data architectures, and orchestration processes. Data Analytics: Capability to effectively use tools and techniques for analyzing data and drawing insights.

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Confluent

JULY 23, 2019

The Kafka Summit Program Committee recently published the schedule for the San Francisco event, and there’s quite a bit to look forward to. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies.

Kafka 18

Kafka Hadoop Media Software Engineer 18

Knowledge Hut

DECEMBER 26, 2023

There is a huge range of online courses available, covering everything from cooking and gardening to languages and computer programming. Harvard University- CS50's Introduction to Computer Science Overview: This course introduces computer science's intellectual activities and the art of programming.

Certification 95

Certification Java Google Cloud Education 95

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Industry Transformation. Winner: Telkomsel.

Medical 123

Medical Banking Telecommunication Government 123

Data Engineering Podcast

OCTOBER 7, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Structured Data 100

Structured Data Cloud SQL Programming Language 100

Data Engineering Podcast

OCTOBER 21, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Cloud 100

Cloud Hadoop Data Lake Programming Language 100

phData: Data Engineering

NOVEMBER 1, 2024

Chief Technology Officer, Information Technology Industry The organizations are mostly early in their journey with areas like data governance frameworks established; however, the execution of the frameworks, ownership, and understanding of data literacy, especially within the business, is fairly low maturity.

Government 52

Government Data Governance Finance Metadata 52

Towards Data Science

FEBRUARY 15, 2023

To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years. I would like to emphasize the word “can” because there is a phrase in the world of programming that still holds, and probably ever will: garbage in, garbage out. Governance is needed.

Data Lake 98

Data Lake Data Warehouse Hadoop Architecture 98

Data Engineering Podcast

OCTOBER 14, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Podcast

NOVEMBER 11, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Designing 100

Designing Data Pipeline Programming Language Data 100

Data Engineering Podcast

NOVEMBER 18, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Lake 100

Data Lake Scala Data Warehouse Hadoop 100

Towards Data Science

DECEMBER 15, 2023

Maybe you need to scale up to a cloud storage provider like Snowflake or AWS to keep up and make all this data accessible at the pace you need. You’re using the data, of course! Data that isn’t interpretable generates little value if any, because you can’t effectively learn from data you don’t understand.

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

Cloudera

AUGUST 11, 2022

And while operations in the cyber-domain are more likely to make the evening news, there are a vast array of critical use cases that support the military’s need for a data architecture that collects, processes, and delivers any type of data, anywhere. . military installations spread across the globe.

Transportation 94

Transportation Data Ingestion Architecture Data 94

AltexSoft

OCTOBER 30, 2021

This is not a prerequisite for entering the job, but with a growing number of data science education programs, many active data scientists studied…data science. Linear regression, classification, and ranking are also machine learning tasks and are common in operating real-world data. Programming.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Cloudera

MAY 22, 2019

We are excited to be launching our first awards program together as the “New Cloudera.” Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more.

Pharmaceutical 56

Pharmaceutical Recruitment Machine Learning Data Architecture 56

Snowflake

JULY 22, 2024

Determining an architecture and a scalable data model to integrate more source systems in the future. The benefits of migrating to Snowflake start with its multi-cluster shared data architecture, which enables scalability and high performance. Features such as auto-suspend and a pay-as-you-go model help you save costs.

Government 118

Government Data Cloud Hadoop 118

Knowledge Hut

JANUARY 18, 2024

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

DataKitchen

DECEMBER 30, 2020

DataKitchen and its DataKitchen DataOps platform have been attracting attention in the emerging realm of data operations or “DataOps.”. DataKitchen’s DataOps Platform simplifies complex toolchains, environments, and teams, so your entire data analytics organization can quickly innovate, seamlessly collaborate, and.

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Cloudera

SEPTEMBER 28, 2020

The customer team included several Hadoop administrators, a program manager, a database administrator and an enterprise architect. This allowed them to enable a modern data architecture, enhance their streaming capabilities and prepare for the next phase of the CDP Journey.

Cloud 132

Cloud Kafka Professional Services Metadata 132