Cloudera

APRIL 18, 2024

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Metadata 104

Metadata Government Data Governance Data 104

Christophe Blefari

FEBRUARY 23, 2024

My ideas these days ( credits ) Hey, fresh Data News edition. This week I've participated to a round table about data and did a cool presentation about Engines. — Apache Arrow is an awesome library that powers a lot of innovations in the data space in the recent years. Is the modern data stack disappearing?

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

ThoughtSpot

SEPTEMBER 14, 2023

We’re thrilled to announce that both ThoughtSpot and Mode ( acquired by ThoughtSpot in July 2023 ) have been recognized as Leaders in Snowflake's recent Modern Marketing Data Stack report! It signals a new era where data teams and marketing teams can collaborate on data analysis like never before.

Business Intelligence 93

Business Intelligence Business Analyst BI Data Analytics 93

Data Engineering Podcast

MARCH 18, 2023

Summary As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. In this episode Yoav Cohen from Satori shares his experiences as a practitioner in the space of data security and how to align with the needs of engineers and business users.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

Christophe Blefari

FEBRUARY 3, 2023

Delivering the data news ( credits ) Hey you, it's already February. The article shows our Netflix art creators are using past data to create new artworks. ebay, Variable Hub a data access layer for risk decisioning — Looks like a feature store but for risk topics. But BI Engineer for the modern data stack times.

BI 130

BI Google Cloud SQL Machine Learning 130

Data Engineering Podcast

AUGUST 6, 2023

Summary As businesses increasingly invest in technology and talent focused on data engineering and analytics, they want to know whether they are benefiting. So how do you calculate the return on investment for data? What are the typical motivations for measuring and tracking the ROI for a data team?

Machine Learning 130

Machine Learning SQL Data Data Engineering 130

Christophe Blefari

FEBRUARY 3, 2024

Anyway this week will be a mixed Data News with links, stuff and ideas and a small wrap-up of the DuckCon + the stuff I presented on Wed. to a Modern Data Stack meetup in Paris about DuckDB WASM. State of the French data market 2 benchmarks have been published recently about the French data market.

MongoDB 130

MongoDB SQL Data Data Warehouse 130

Snowflake

SEPTEMBER 28, 2023

Data is an invaluable asset in today’s marketing ecosystem. With its unique blend of cultures, economies, and regulatory environments, the EMEA market offers a nuanced picture of how marketers harness data technologies to understand their audiences, calibrate campaigns in real time, and adhere to complex government and industry regulations.

Government 79

Government Data Integration Machine Learning Technology 79

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. ” said Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics.

Machine Learning 78

Machine Learning Banking Professional Services Architecture 78

Christophe Blefari

APRIL 5, 2024

Lost between ideas ( credits ) Hey, new Data News edition. MDS Fest is a free virtual 5 days conference about Modern Data Stack topics, a lot of awesome speakers, there are a few talks I can't wait to watch. It shows a few RAGs, Agents and parsers on documents to retrieve the data you need. But here we are.

SQL 130

SQL Data Python Datasets 130

Snowflake

OCTOBER 25, 2023

Ultimately, though, a lot of it still feels pretty fuzzy and buzzy, and the countless martech solutions that highlight the latest and greatest Generative AI (GenAI) and LLM capabilities, still lack broad adoption. Question #1: What kind of data are you using to train your AI models? And how are you collecting it?

Government 80

Government Accessible Accessibility Technology 80

Monte Carlo

JANUARY 3, 2024

Data teams are scrambling to answer the call. That quick check of the box feels like a step forward, but if you aren’t already thinking about how to connect LLMs with your proprietary data and business context to actually drive differentiated value, you’re behind. Hard truth #4: Your data isn’t ready yet anyway.

Technology 113

Technology Database Data Governance Data Engineering 113

Monte Carlo

MARCH 25, 2024

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. In the preceding months, I met with hundreds of data leaders about what kept them up at night. What if there was a way to ensure that your data was trustworthy and reliable? The list goes on.

MySQL 64

MySQL Government Data Governance Kafka 64

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

Building 130

Building IT Metadata MongoDB 130

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

Data Governance Government Cloud Building 130

Snowflake

SEPTEMBER 14, 2023

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. Your technology stack should accommodate growth—in data volumes as well as in your business. It should foster collaboration across functions.

Data Architecture 87

Data Architecture Architecture Hadoop Data Warehouse 87

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

Data Engineering Podcast

JULY 3, 2022

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. Atlan is the metadata hub for your data ecosystem.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

OCTOBER 30, 2022

In its current incarnation it has become a ubiquitous need for analytics and opportunities to answer questions with data. In this episode Amir Orad discusses the Sisense platform and how it facilitates the embedding of analytics and data insights in every aspect of organizational and end-user experiences.

Business Intelligence 130

Business Intelligence Metadata MongoDB MySQL 130

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Atlan is the metadata hub for your data ecosystem.

Building 130

Building Metadata MongoDB MySQL 130

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Systems 98

Systems Data Lake Google Cloud Data Collection 98

Knowledge Hut

MARCH 22, 2024

MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude. Let’s get started.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Monte Carlo

DECEMBER 20, 2023

“The data and AI space moves fast. Wondering what’s next for the future of data engineering and GenAI? Each year, we chat with one of the data industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. LLMS will transform the stack 2.

Amazon Web Services 52

Amazon Web Services Metadata AWS Data 52

Monte Carlo

DECEMBER 20, 2023

“The data and AI space moves fast. Wondering what’s next for the future of data engineering and GenAI? Each year, we chat with one of the data industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. LLMS will transform the stack 2.

Amazon Web Services 52

Amazon Web Services Metadata AWS Data 52

Knowledge Hut

MARCH 18, 2024

In the field of computer science and programming, whether it's managing data, executing algorithms, or optimizing memory usage, I always required streamlined processes. The stack data structure is a fundamental tool that embodies simplicity and efficiency in data management. What is Stack Data Structure?

Algorithm 52

Algorithm Computer Science Python Software Engineer 52

Towards Data Science

APRIL 17, 2023

Data teams are more important than ever before — but they need to get closer to the business. Over the past decade, data teams have been simultaneously underwater and riding a wave. Don’t get me wrong: I’m a firm believer in the modern data stack. The modern data stack menu. Faster insights?

Data 97

Data Data Engineering Data Engineer Engineering 97

Data Engineering Weekly

SEPTEMBER 9, 2023

Aswin floated the idea of making it a meetup—inviting some data engineers and having an in-depth conversation about our field. In a half-joking manner, I threw out there, "Why not turn it into a full-blown data engineering conference?" Data modeling is my favorite topic. Panel: Is Modern Data Stack Dead?

Data Lake 62

Data Lake Architecture Data Engineering Data Engineer 62

Mutt Data

OCTOBER 19, 2023

Challenge Modo’s expanding operations and data demands required an enhanced data platform that could manage the increasing volume, variety, and necessary features of the business. Mutt Data can help you crystallize your data strategy through the design and implementation of technical capabilities and best practices.

Banking 52

Banking Healthcare Designing Data Engineering 52

Mutt Data

OCTOBER 19, 2023

Challenge Modo’s expanding operations and data demands required an enhanced data platform that could manage the increasing volume, variety, and necessary features of the business. Mutt Data can help you crystallize your data strategy through the design and implementation of technical capabilities and best practices.

Banking 52

Banking Healthcare Designing Data Engineering 52

Towards Data Science

DECEMBER 1, 2023

Pet Project for Data/Analytics Engineers: Explore Modern Data Stack Tools — dbt Core, Snowflake, Fivetran, GitHub Actions. This hands-on experience will allow you to develop an end-to-end data lifecycle, from extracting data from your Google Calendar to presenting it in a Snowflake analytics dashboard.

Data Engineering 74

Data Engineering Data Engineer Project Engineering 74

Knowledge Hut

MARCH 28, 2024

Because Azure is a fundamental component of many modern IT infrastructures, experts in Azure administration can expect a wide range of industry-wide work opportunities, competitive compensation, and possibilities for career growth. Most entry-level Azure administrator jobs offer above $84,500 annually, based on data from recent years.

Computer Science 52

Computer Science Cloud Computing Education Certification 52

Monte Carlo

DECEMBER 4, 2023

The company has exacting standards for how they manufacture their products, and for how they deliver data products. These high-end appliances are also IoT connected devices that, like any modern app, emit data that can be used to provide unparalleled customer service. But for all teams data reliability is paramount.”

Manufacturing 52

Manufacturing Data Governance Government BI 52

Data Engineering Weekly

DECEMBER 29, 2022

Data catalogs are the most expensive data integration systems you never intended to build. Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. How happy are you with your data catalogs?

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Data Engineering Weekly

MARCH 17, 2024

Compliance is mandatory, with strict penalties for violations, emphasizing the importance of data scientists familiarizing themselves with the law to avoid prohibited AI uses and ensure ethical, safe AI development. It discusses the significance of data governance, sharing history, and generative AI's impact on data economy standards.

Data Engineering 70

Data Engineering Data Engineer Engineering Data Governance 70