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

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions. GDPR, HIPAA), and industry standards.

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 74

Telecommunication Data Architecture Government Architecture 74

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

Snowflake

JANUARY 22, 2024

For the past few years, Fidelity Investments has been moving a significant percentage of its applications to a cloud-based infrastructure. In 2020, Fidelity kicked off its digital transformation and established an Enterprise Data Lake (EDL) along with Data Labs.

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. Key Design Principles of a Data Mesh. Introduction.

Architecture 123

Architecture Metadata Government Kafka 123

Snowflake

DECEMBER 5, 2023

We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas.

AWS 101

AWS Amazon Web Services Government Cloud Computing 101

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

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. CDP Public Cloud eliminates the need for using those tools by providing the following capabilities: . Technology cost reduction / avoidance. query failures, cost overruns).

Data Warehouse 79

Data Warehouse Data Governance Government Cloud 79

Knowledge Hut

MARCH 26, 2024

Cloud Computing Adoption: As organizations migrate their infrastructure to the cloud, there's a high demand for Solutions Architects who can design cloud-native solutions and optimize cloud resources. Cloud solution architect jobs are highly available.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Enterprise Data Cloud.

Medical 121

Medical Banking Telecommunication Government 121

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

AltexSoft

MAY 12, 2023

Unstructured data storage solutions must ensure data durability (protection against data loss) and availability (ensuring data is accessible when needed). That’s why there must be some sort of data replication, backup strategies, and failover mechanisms. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Delta Lake integrations.

Scala 64

Scala Data Lake BI Google Cloud 64

Cloudera

AUGUST 21, 2020

One is data at rest, for example in a data lake, warehouse, or cloud storage and from there they can do analytics on this data and that is predominantly around what has already happened or around how to prevent something from happening in the future.

Banking 60

Banking Kafka Cloud Storage Government 60

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. Oracle DB and Oracle DB Cloud Service Architecture (DBCS).

Database 52

Database Certification MongoDB MySQL 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

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 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

AltexSoft

AUGUST 29, 2023

ELT choice: In data warehouses, Extract and Transform processes usually occur before data is loaded into the warehouse. Many organizations also deploy data marts , which are dedicated storage repositories for specific business lines or workgroups. This ensures information consistency and responsible use.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

MAY 1, 2018

Hortonworks announced the launch of a data governance plug-in named Studio for its DataPlane platform at the recent Hadoop Summit.DataPlane platform that was announced last year provides data architecture as a service with data governance baked in Apache Atlas.Scott Gnau, chief technology officer at Hortonworks said that the supplier is at stage 3.0

Hadoop 40

Hadoop Banking Healthcare Food 40

phData: Data Engineering

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52