Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 89

Data Lake Data Warehouse BI SQL 89

Christophe Blefari

MARCH 4, 2023

Formula 1 is back (trying to jinx before it happens) (yes there is no link with the data news) ( credits ) Hello you, I hope this new Data News finds you well. I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. So thank you for that.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. CDP Data Lake cluster versions – CM 7.4.0, For context, the setup used is as follows.

Cloud 68

Cloud Data Lake Cloud Storage Metadata 68

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 78

Manufacturing Data Lake Data Science Cloud 78

Scott Logic

APRIL 22, 2024

Amazon’s goal in this space is to develop AI tools that are able to be used by non-technical users, so that organisations are not hamstrung by any bottlenecks caused by the number of data scientists they have available. Generative AI has been grabbing headlines, but many businesses are starting to feel left-behind.

BI 97

BI Software Engineer Software Engineering Algorithm 97

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. market share, while all of its rivals combined, Microsoft Azure (29.4%), Google Cloud (3.0%), and IBM (2.6%), do not even reach that percentage. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Data Engineering Podcast

MAY 1, 2022

Summary Building a data platform is an iterative and evolutionary process that requires collaboration with internal stakeholders to ensure that their needs are being met. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Data Warehouse 100

Data Warehouse Data Lake Architecture Data 100

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. This blog is to congratulate our winner and review the top submissions. The contest challenged developers to build data pipelines that represent their business use cases using Cloudera DataFlow.

Google Cloud 74

Google Cloud Cloud Storage Data Lake Data Pipeline 74

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

APRIL 16, 2022

Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies.

Data Engineering 100

Data Engineering Data Engineer Engineering IT 100

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

OCTOBER 6, 2022

Gartner : “Digital transformation can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”. CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Cost savings opportunities.

Data Lake 85

Data Lake Machine Learning Data Storage Cloud Computing 85

Data Engineering Podcast

JULY 10, 2022

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. If you missed out, not to worry! Learn more here. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

OCTOBER 31, 2023

Azure administrators are in more demand as businesses continue to use the cloud for their infrastructure requirements. The Azure platform from Microsoft has grown to be a popular option for companies looking for scalable and trustworthy cloud solutions.

Data Lake 52

Data Lake Certification Government Cloud Computing 52

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Data Lake 52

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Database 88

Database Cloud Data Warehouse Data Lake 88

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Data Engineering Weekly

NOVEMBER 26, 2023

It’s the end of the year, and there will be a lot of buzz about what the next five years in data engineering might bring. 🕵️‍♂️📈 Before we delve into the patterns, it's important to remember that data infrastructure maturity model. Who knows what insights we might uncover?

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

Medical 88

Medical Hospitality Data Lake Healthcare 88

Rockset

NOVEMBER 14, 2022

As a result of ongoing performance enhancements, we released software that leverages 3rd Gen Intel® Xeon® Scalable processors, codenamed Ice Lake. With the move to new hardware, Rockset queries are now 84% faster than before on the Star Schema Benchmark (SSB), an industry-standard benchmark for query performance typical of data applications.

Metadata 52

Metadata Datasets Cloud Accessible 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Advancing Analytics: Data Engineering

SEPTEMBER 7, 2021

1 SCD Type 1 in SQL and Python Introduction With the move to cloud based Data Lake platforms there has often been criticism from the more traditional Data Warehousing community. A poorly governed 'free for all' with a lack of data quality measures and ownership. Here is where the Delta Lake comes in.

Data Lake 52

Data Lake Datasets Data Warehouse SQL 52

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. These tools offer data engineers insight into the health of their data infrastructure, by giving visibility into crucial metrics like latency, throughput, and error rates.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

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. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Data Engineering Podcast

SEPTEMBER 4, 2022

Summary Data observability is a product category that has seen massive growth and adoption in recent years. Monte Carlo is in the vanguard of companies who have been enabling data teams to observe and understand their complex data systems. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

Cloudera

FEBRUARY 12, 2024

In Cloudera deployments on public cloud, one of the key configuration elements is the DNS. Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. DNS servers are usually deployed in the hub virtual network or an on-prem data center instead of in the Cloudera VNET.

MySQL 52

MySQL PostgreSQL Data Warehouse Machine Learning 52

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. The data is protected but it is also accessible by the people who need it. But as models go, the idea is easier than the execution.

Government 79

Government Metadata Data Lake Data 79

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Banking 97

Banking Data Lake Data Data Warehouse 97

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction. higher cost.

Data Warehouse 91

Data Warehouse Cloud Consulting SQL 91

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Cloud 92

Cloud Data Warehouse AWS NoSQL 92