Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Cloudera

JULY 29, 2022

The report has uncovered customer centricity to be the key priority for both telco and FSI organizations when it comes to using data. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 88

Data Architecture Architecture Unstructured Data Government 88

Data Engineering Podcast

JUNE 17, 2023

In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 130

Data Lake Metadata Machine Learning Data Architecture 130

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. Data comes in many forms.

Cloud 98

Cloud Data Governance Unstructured Data Data Architecture 98

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Let’s dive into the tools necessary to become an AI data engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Cloudera

MAY 30, 2024

Its expertise spans cloud enablement, modern application development, BigData and ML, Cloud Journey, DevOps, Microservices, platform, and architecture changes for financial services firms. What are some of the reasons that TAI Solutions’ customers choose Cloudera?

Data Analytics 80

Data Analytics Banking Insurance Finance 80

Data Engineering Podcast

JULY 3, 2022

She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures. Can you describe what you see as the dominant factors that influence a team’s approach to data architecture and design?

Architecture 100

Architecture Metadata MongoDB MySQL 100

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

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 76

Telecommunication Data Architecture Government Architecture 76

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

JUNE 3, 2024

Cloudera’s AI Inference service uniquely streamlines the deployment and management of large-scale AI models, delivering high performance and efficiency while maintaining strict privacy and security standards.

Cloud 79

Cloud Machine Learning Data Architecture Government 79

Ascend.io

SEPTEMBER 6, 2024

AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and enables smarter business decisions. Data quality is the backbone of successful data engineering projects.

Data Cleanse 52

Data Cleanse Data Workflow Data Pipeline Machine Learning 52

Data Engineering Weekly

SEPTEMBER 18, 2024

Decoupling of Storage and Compute : Data lakes allow observability tools to run alongside core data pipelines without competing for resources by separating storage from compute resources. This opens up new possibilities for monitoring and diagnosing data issues across various sources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

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. You work hard to make sure that your data is reliable and accurate, but can you say the same about the deployment of your machine learning models?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Cloudera

JUNE 7, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

IT 112

IT Unstructured Data Data Architecture Government 112

AltexSoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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. Figure 2: Apache Iceberg within Cloudera Data Platform. #5: Simplify data management .

Metadata 91

Metadata Data Architecture BI Machine Learning 91

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

JANUARY 18, 2024

As data analytics professionals navigate this rapidly evolving landscape, they must adapt and develop new skills to stay relevant. Fortunately, short term Data Science courses can help you take the first step into this field and work your way upwards.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). We can handle any data anywhere, in hybrid and multi-cloud.

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Data Engineering Podcast

JULY 14, 2019

Summary Successful machine learning and artificial intelligence projects require large volumes of data that is properly labelled. The challenge is that most data is not clean and well annotated, requiring a scalable data labeling process. Can you start by explaining what CloudFactory is and the story behind it?

Machine Learning 100

Machine Learning Media Cloud Data 100

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. Can you describe what Cuelake is and the story behind it?

Building 100

Building Data Lake Data Warehouse SQL 100

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset .

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Data Engineering Podcast

SEPTEMBER 30, 2019

Summary Building an end-to-end data pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. And for your machine learning workloads, they just announced dedicated CPU instances.

Data Pipeline 100

Data Pipeline Machine Learning Media Data 100

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 88

Cloud Government Cloud Computing Data Architecture 88

Data Engineering Podcast

AUGUST 12, 2019

This is a great conversation to listen to for a better understanding of the challenges inherent in synchronizing your data. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Media 100

Media Data Warehouse Data Big Data 100

Data Engineering Podcast

DECEMBER 8, 2019

If you are evaluating your options for building or migrating a data platform, then this is definitely worth a listen. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Cloudera

OCTOBER 11, 2022

This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. Different data types need different types of analytics – real-time, streaming, operational, data warehouses.

Data Science 94

Data Science Aggregated Data Data Consulting 94

Cloudera

SEPTEMBER 8, 2022

for machine learning), and other enterprise policies. With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. .

Telecommunication 79

Telecommunication Data Governance Government Portfolio 79

Data Engineering Podcast

JUNE 3, 2019

If you are either considering how to build a data pipeline or debating whether to migrate your existing ETL to a service this is definitely worth listening to for some perspective. And for your machine learning workloads, they just announced dedicated CPU instances. Support the show and get your data projects in order!

Media 100

Media Data Pipeline Machine Learning Data Science 100

Data Engineering Podcast

AUGUST 26, 2019

He also explains useful patterns for collaboration between data engineers and data analysts, and what they can learn from each other. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Data Analytics 100

Data Analytics Building Media Data Engineering 100

Striim

FEBRUARY 19, 2024

Central to unlocking the potential of these frameworks is Striim, a platform that facilitates real-time data integration, analytics, and event processing, providing businesses can fully leverage their data. Data Fabric uses advanced technology, such as AI and machine learning, to automatically find, manage, and combine data.

Data Integration 52

Data Integration Data Government Data Governance 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!

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Government Data Governance Finance Metadata 52