Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. .

Cloud 95

Cloud Government Cloud Computing Data Architecture 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. Data Security & Governance.

Medical 124

Medical Banking Telecommunication Government 124

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. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Programming Healthcare 52

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? The second issue is with regulatory, security and privacy concerns about moving certain workloads and certain data sets beyond the firewall, and in many cases out of the country. Hybrid Data Cloud and Data Governance.

Telecommunication 101

Telecommunication Cloud Finance Government 101

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

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 105

High Quality Data Data Governance Government Banking 105

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Banking 91

Banking Management Data Lake Professional Services 91

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 80

Unstructured Data Data Lake Data Architecture Data 80

Cloudera

JUNE 6, 2024

While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data. Trusted Data is the Foundation of AI According to a Cloudera survey, Data Architecture and Strategy in the AI Era , 57% of APAC organizations are at least early-stage adopters of AI.

Banking 88

Banking Data Lake Finance Data Governance 88

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

Towards Data Science

DECEMBER 15, 2023

Data that isn’t interpretable generates little value if any, because you can’t effectively learn from data you don’t understand. How are you going to strategically plan for the future of your data systems? You probably need to attend to data architecture to try and keep costs from skyrocketing, but what about data retention?

Machine Learning 88

Machine Learning Data Science Data Security Data Storage 88

Scott Logic

OCTOBER 30, 2023

AI is already being used in both central and local government. AI use in Government The UK Government has already begun to make careful use of these technologies over the last few years. When I worked at Government Digital Service (GDS) there was a great example on GOV.UK

Government 52

Government Hospitality Database-centric Machine Learning 52

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Lake 81

Cloudera

SEPTEMBER 15, 2020

Instead, it is a move towards recognizing those companies that are driving innovation and agility by modernizing their data architecture and optimizing their infrastructure to unlock the true value from data anywhere — in private cloud, multiple public clouds, and hybrid cloud.

Cloud 68

Cloud Data Government Healthcare 68

Cloudera

APRIL 13, 2021

Its existing data architecture, however, wasn’t up for the gig. As the data ingestion rate of current business grew to multiple tens of gigabytes per day, the company saw the economic and functional limits of what could be done. The company turned to CDP to streamline migration of critical data workloads to the public cloud.

Cloud 79

Cloud Pharmaceutical Medical Data Warehouse 79

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

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

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

Cloudera

AUGUST 21, 2020

Beyond volume, velocity, and variety the two biggest challenges for businesses around streaming analytics are security and governance. Organizations need to handle them in a transparent way because data hacking can happen at any point in the data-in-motion journey.

Banking 63

Banking Kafka Cloud Storage Government 63

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. This partnership establishes a data efficiency center of excellence focused on AI & Automation tooling alongside best practices to ensure organizations maximize their data ROI. “Our collaboration with Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Striim

FEBRUARY 19, 2024

Overview of Data Mesh Data Mesh is a decentralized architectural approach designed to address large-scale data management issues by promoting domain-oriented data ownership and self-serve data infrastructure. Data Fabric and Data Mesh have different focuses.

Data Integration 52

Data Integration Data Government Data Governance 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

ProjectPro

FEBRUARY 1, 2017

Veikkaus has developed a modern data architecture by pulling data from both digital and offline betting channels. ii) AtScale survey reveals that more than half of the organizations having big data solutions living on the cloud today that is likely to increase to 3/4th. The future of Hadoop is cloudy.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Precisely

JANUARY 22, 2024

The challenge is that many businesses struggle to turn their data into usable assets for CX applications. According to Corinium, only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX. It’s not that companies lack data about customers.

Data Integration 59

Data Integration High Quality Data Machine Learning Data Governance 59

Ascend.io

FEBRUARY 28, 2024

Metadata Management for Enhanced Machine Interpretation Data engineering extends its importance to the realm of metadata management, providing AI models with essential context about data definitions, classifications, and governance policies. ChatGPT screenshot of AI-generated Python code and an explanation of what it means.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Cloudera

JULY 16, 2019

Isolated data sources provide only fragmented insight, leading to inefficiency and an incomplete picture of customers, products, and their needs. Data access and governance: Silos and decentralized cloud environments can also create access problems. In your hybrid cloud environment, can every person who needs data access it?

Cloud 41

Cloud Government Big Data Data Architecture 41

Knowledge Hut

MARCH 26, 2024

Extensive experience in enterprise architecture, solution design, and IT governance. Proficiency in enterprise architecture frameworks such as TOGAF or Zachman. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms. Strong business acumen.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

MARCH 22, 2024

Cloud Data Architect A cloud data architect designs, builds and manages data solutions on cloud platforms like AWS, Azure, or GCP. They play a crucial role in ensuring data security, scalability, and performance, enabling organizations to leverage their data effectively for informed decision-making.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Poor data quality, reliability, and integrity. Issues with data security and governance.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

SEPTEMBER 22, 2023

To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers. Additionally, as more companies use data to inform their decisions, data security will become even more important. How Long Does Microsoft Azure Data Engineer Certification Take?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JANUARY 19, 2022

Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing. While some businesses have specialized data security teams, many still depend on their data engineers to safely handle and store data to prevent loss or theft.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

AltexSoft

AUGUST 29, 2023

Also, data lakes support ELT (Extract, Load, Transform) processes, in which transformation can happen after the data is loaded in a centralized store. A data lakehouse may be an option if you want the best of both worlds. Governance establishes and enforces rules, policies, and procedures for data access, quality, and usability.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering models can help public health systems identify isolated cases before they explode into a health crisis. In Australia, the government’s healthcare branch uses Data Integration Partnership for Australia (DIPA) to identify adverse events. Snowflake is a market leader and sets the standard for data security.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

ProjectPro

OCTOBER 20, 2021

On that note, what is AI governance? AI Governance is a necessary evil. The four guideposts of AI Governance are as follows: Integrity The integrity and validity of the algorithm have to be justified by analyzing decision lineage and justification of what micro-decisions lead to the final output.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

Knowledge Hut

SEPTEMBER 6, 2023

They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. Design and implement identity, access and governance for SAP workloads.

Database 52

Database Certification MongoDB MySQL 52