Knowledge Hut

DECEMBER 26, 2023

In this article, you will find the Top 10 tech trends in 2024. We have listed some of the most-recent new technology breakthroughs to keep an eye on. As critical data is now stored on cloud platforms, it is more vital than ever to set up security measures.

Technology 98

Technology Cloud Computing Healthcare Data Science 98

Christophe Blefari

MAY 6, 2023

It's wedding weekend (as you'll probably read it, congrats) ( credits ) Hey you, this is a Saturday edition of the Data News. But still you'll find awesome articles that has been written recently. This article gives a great overview of the product. I hope this email finds you well.

Programming Language 100

Programming Language Data Python Data Warehouse 100

ThoughtSpot

MAY 31, 2023

With the recent announcement of ThoughtSpot Sage , we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction.

Data Security 86

Data Security Metadata Transportation Data Warehouse 86

Data Engineering Weekly

DECEMBER 29, 2022

The 21st edition of the newsletter focuses on the recent breakthroughs in metadata management. I believe the next big set of challenges in data engineering is all about efficient data management… Read more 2 years ago · 4 likes · Ananth Packkildurai What changed my thoughts on Data Catalog? The modern(?)

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The article goes on to share insights from experts at Gartner, PwC, John Deere, and Cloudera that shine a light on the critical role that data plays in scaling AI. . Data science needs analytics.

Data Science 90

Data Science Aggregated Data Data Consulting 90

Ascend.io

FEBRUARY 23, 2024

You are a data professional. This means that you are fully aware of the recent developments in AI and Large Language Models ( LLMs ). Exciting, isn’t it Yet, embarking on the AI adoption journey introduces a series of challenges, with one of the most significant being the readiness of your data platform.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

Data Engineering Weekly

FEBRUARY 18, 2024

[link] Joe Reis: Everything Ends - My Journey With the Modern Data Stack Joe writes another excellent retrospect for Modern Data Stack, walking down memory lane of the early and golden days of the Modern Data Stack. We are so over the Big Data Era to Modern Data Stack. Elevate your data skills!

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Source : A stream of sensor data represented as a directed acyclic graph.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Data Engineering Weekly

NOVEMBER 26, 2023

We saw a fleet of announcements from Data Catalogs tools on how LLM can help to auto-generate documentation [See: How Generative AI Is Making Data Catalogs Smarter ]. I believe the impact of LLM will go further down in the stack with data storage formats in the coming years. Companies started to invest in either format.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

JANUARY 3, 2024

This article goes into the changing job descriptions for Azure, stressing the skills and competence required for success in the modern computing environment. Azure Administrator Azure Administrators are in charge of the management , maintenance, and support of Azure cloud infrastructures.

Cloud Computing 52

Cloud Computing Recruitment Computer Science Education 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Data Engineering Weekly

FEBRUARY 19, 2023

Design a mock data Find the data Assess Data Quality and Consistency Assess Model freshness Assess Model performance [link] Sponsored: Replacing GA4 with Analytics on your Data Cloud The GA4 migration deadline is fast approaching. Join our webinar to learn how you can replace GA with analytics on your data cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Grouparoo

DECEMBER 14, 2021

The ETL data integration process has been around for decades and is an integral part of data analytics today. In this article, we’ll look at what goes on in the ETL process and some modern variations that are better suited to our modern, data-driven society. ETL data pipelines can be built using a variety of approaches.

Process 52

Process Raw Data Data Warehouse Data Pipeline 52

Knowledge Hut

NOVEMBER 16, 2023

Cloud computing, along with data science has been the buzzword for quite some time now. Companies have moved towards cloud architecture for their data storage and computing needs. Microsoft Azure is one such public cloud computing platform that provides a range of cloud services for computing, storing, and networking.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. What is a data fabric? What is a data mesh?

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Knowledge Hut

JANUARY 18, 2024

With the help of this article, I will cover the topic of Power BI, including its limitations and scope. There are three types of Power BI platforms: Power BI Desktop Power BI Services Power BI Mobile In addition to this, it has a cloud data warehouse to manage the data models for smooth deployment.

BI 52

BI Data Cleanse Business Intelligence Datasets 52

Striim

JANUARY 4, 2023

Companies need to analyze large volumes of datasets, leading to an increase in data producers and consumers within their IT infrastructures. These companies collect data from production applications and B2B SaaS tools (e.g., This data makes its way into a data repository, like a data warehouse (e.g.,

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 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

Monte Carlo

JULY 27, 2023

Data quality engineers also need to have experience operating in cloud environments and using many of the modern data stack tools that are utilized in building and maintaining data pipelines. 78% of job postings referenced at least part of their environment was in a modern data warehouse, lake, or lakehouse.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Knowledge Hut

OCTOBER 3, 2023

Effective data utilization also plays a pivotal role in enhancing customer service, contributing to the surge in demand for professionals in this field. Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Data Engineering Weekly

AUGUST 20, 2023

The blog narrates the potential possibilities of LLM’s impact in each stage of the data warehouse. I found the article from Microsoft to be a good summarization of building a Q&A system for any document. The recent addition of the Postgres Scanner looks very promising.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Articles This section is all about inspiration.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Articles This section is all about inspiration.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. The articles are in alphabetical order. Like any good data engineer. What would that look like?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JANUARY 11, 2024

In contrast, e-commerce data scientists can use it to add more personalization for their consumers—the possibilities are unlimited and unexplored. It was one of the most powerful cyclones to strike India in the recent 20 years, and a record 1.2

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

SEPTEMBER 21, 2023

The Bureau of Labor Statistics predicts a 12% growth in data-related professions by 2028, resulting in 546,200 new jobs. This surge is driven by the increasing reliance on data-driven decision-making across industries. We are the architects of data, ensuring its integrity, security, and accessibility. Lakhs to INR 26.0

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important?

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Monte Carlo

AUGUST 17, 2022

As more data tools become available, I’ve seen SMBs (think companies with $5-10 million in gross revenue) jumping in to set up Snowflake or Fivetran—mostly because that’s what all the buzzy articles about driving efficiency with data say they should do. Something similar happened to me recently with my Substack newsletter.

Systems 52

Systems Building Data Data Engineering 52

Monte Carlo

APRIL 28, 2022

Instead of spinning cycles on deteriorated SQL queries, the data cloud provider would rather have you focus those Snowflake credits toward projects like building data apps. Actual pricing depends on a few different variables such as the cloud provider, region, plan type, services, and more. Waste isn’t good for anyone.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The intent of this article is to demonstrate the value proposition of COD as a multi-modal operational database capability over legacy HBase deployments across three value areas: . Elastic Compute.

Database 92

Database AWS Relational Database Cloud 92

Monte Carlo

MARCH 14, 2023

Enter BlaBlaCar, which has made real progress on tough challenges like self service analytics and data mesh over the past few years, leading to a reduction in data incidents and time to insights. Discovering the data mesh BlaBlaCar’s data stack was built to support their end goal of supporting self service analytics at scale.

Transportation 40

Transportation Government Google Cloud Architecture 40

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cloud Data Architecture 58

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 76

Cloud Metadata Google Cloud Data Warehouse 76