Data Engineering Weekly

MARCH 17, 2024

The role of AI in shaping data experiences and the crucial role a semantic layer plays in ensuring accuracy in LLMs. . The role of AI in shaping data experiences and the crucial role a semantic layer plays in ensuring accuracy in LLMs. The article compares all the VectorDB available in the market.

Data Engineering 70

Data Engineering Data Engineer Engineering Data Governance 70

Snowflake

MAY 1, 2024

BigGeo’s mission is to convert the theoretical advancements uncovered during the founders’ 15 years of research into practical, market-ready solutions. By directly connecting the visualization layer to the data supplier’s data warehouse, BigGeo enabled informed decision-making directly through the map. SignalFlare.ai

Media 104

Media Building Data Warehouse Technology 104

Christophe Blefari

APRIL 5, 2024

Semantic layers, a buyers guide — This is a exhaustive comparison between dbt Cloud metrics offering and Cube. Creating a declarative data platform is easy, but creating the right level of abstraction that describes reality without creating debt and over-engineered solutions is much harder.

SQL 130

SQL Data Python Datasets 130

Christophe Blefari

APRIL 12, 2024

Data contracts: federated data governance — Another talk by Chad about the data contracts, always on point in describing the pains around the "data supply chain" Deliver reporting in pure SQL with dbt + Evidence — A great showcase of what you can build with Evidence (a BI as code solution).

BI 130

BI SQL Data Coding 130

Towards Data Science

APRIL 17, 2023

Eventually, however, these solutions started tying volume of data to cost. Before you transition from your customer data platform to a more cloud-native solution , understand how the marketing team uses it and why. We need an approach that’s truly end to end, all the way down to the consumption layer. Faster insights?

Data 97

Data Data Engineering Data Engineer Engineering 97

Data Engineering Weekly

APRIL 7, 2024

link] Sponsored: Cloud Academy's Solution to Enhanced Embedded Analytics Cloud Academy, a SaaS e-learning platform, needed to deliver a seamless, highly available embedded analytics experience for their enterprise customers. They knew they needed a flexible caching layer and zero-downtime deployments.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

dbt Developer Hub

APRIL 25, 2023

If you haven’t read Nick & Roxi’s blog post about what’s coming in the future of the dbt Semantic Layer , I highly recommend you read through that, as it gives helpful context around what the future holds. With the upcoming integration with MetricFlow, we're on the cusp of a new era for the dbt Semantic Layer.

Data Warehouse 52

Data Warehouse SQL Python Data Analytics 52

Christophe Blefari

OCTOBER 9, 2023

Introducing Python and Jinja in Cube — Cube, an open source semantic layer, has released a new writing capabilities in Python with Jinja in the YAML definitions. Heap is a product analytics solution to understand better you funnel acquisition performance. Something that reminds dbt. Contentsquare acquires Heap.

Python 130

Python Data Database Java 130

Monte Carlo

MARCH 25, 2024

Enter data observability, the data stack-defining solution that’s helped data leaders and their teams sleep soundly at night knowing that their stakeholders can trust their data and AI. In the last six months, organizations like Dell, American Airlines, LiveNation, and DraftKings leverage our award-winning data observability solution.

MySQL 64

MySQL Government Data Governance Kafka 64

Monte Carlo

APRIL 13, 2023

Eventually, however, these solutions started tying volume of data to cost. Before you transition from your customer data platform to a more cloud-native solution , understand how the marketing team uses it and why. We need an approach that’s truly end to end, all the way down to the consumption layer. Faster insights?

Data 59

Data BI Engineering Data Engineering 59

Netflix Tech

NOVEMBER 13, 2023

Like semantic segmentation for audio, SMAD separately tracks the amount of speech and music in each frame in an audio file and is useful in content understanding tasks during the audio production and delivery lifecycle.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Monte Carlo

SEPTEMBER 12, 2022

First, open-source is becoming more prevalent throughout the modern tech stack, as it’s continually layered within other software products. “If 4) The [BI] semantic layer will erode Historically, organizations have stored a semantic layer—a business abstraction that describes and defines how data should be used—within their BI tools.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Christophe Blefari

DECEMBER 16, 2022

From $50/month/per dev to $100/month/per dev but limited to 8 devs Team plan is now limited to only one project Team plan will include the Semantic Layer no-one is asking The free tier now announced it's US based only Small teams will get their dbt Cloud budget increase by 100%. Below are listed the major changes: Team plan x2.

Kafka 130

Kafka Data SQL Cloud 130

Pinterest Engineering

MAY 13, 2024

Finally, the last entry in this series will describe how we modernized our serving layer by consolidating multiple independent storage services into a unified multi-model, multi-backend storage framework. For example, we found that HBase performed worse than state-of-the-art solutions for OLAP workloads.

NoSQL 69

NoSQL MySQL Database Systems 69

Monte Carlo

MARCH 7, 2024

A vector database is a type of database that stores data as high-dimensional “vectors” or a string of numbers which captures the semantic meaning of an object. It then performs a semantic search against the vector database to find the most relevant embeddings, and the top results are then passed to the LLM. But a baby step.

Engineering 59

Engineering High Quality Data Database Architecture 59

Data Engineering Podcast

JUNE 26, 2022

Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics. What are the challenges that they typically experience that leads them to MDM as a solution for their problems?

Data Management 100

Data Management Management MongoDB Scala 100

Lyft Engineering

NOVEMBER 29, 2023

This involved: Ensuring the correct format for data being ingested Fixing downstream ingestion pipelines for use cases with any upstream changes Creating specification files for users well-versed in Python/SQL semantics, but not necessarily Druid-specific technologies These blockers made it difficult to find more customers and increase adoption.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Monte Carlo

APRIL 16, 2022

Here are some possible solutions. The challenge with passive ETL or transformations in the warehouse The modern data warehouse architecture creates problems across many layers. However, the right level of abstraction for this review is not code – but semantics. The layers of an immutable data warehouse.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

Pinterest Engineering

OCTOBER 31, 2023

PinApp supports the functionality offered by Kubernetes native primitives such as Deployments and ReplicaSets but also includes extensions like deployment semantics to meet business needs and enhance manageability. PinScaler is an abstraction that supports application auto scaling at Pinterest.

Architecture 96

Architecture Pipeline-centric Accessible Accessibility 96

Data Engineering Weekly

APRIL 2, 2023

[link] Tweet Search System (EarlyBird) Design [link] Google AI: Data-centric ML benchmarking - Announcing DataPerf’s 2023 challenges Data is the new code: it is the training data that determines the maximum possible quality of an ML solution. It will be interesting how the semantic layer emerges with the rise of GPT models.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Weekly

JUNE 4, 2023

I don’t think testing data quality on all the PRs against the production database is not a cost-effective solution. link] Jatin Solanki: Vector Database - Concepts and examples Staying with the vector search, a new class of Vector Databases is emerging in the market to improve the semantic search experiences.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Data Engineering Weekly

MARCH 11, 2023

We discuss an article by Colin Campbell highlighting the need for a data catalog and the market scope for data contract solutions. We emphasize the importance of creating high-quality data and the need for technological and organizational solutions to achieve this goal.

Data Engineering 52

Data Engineering Data Engineer Engineering High Quality Data 52

Monte Carlo

JUNE 15, 2023

In that spirit, he proposes some creative solutions around how to help surface issues of data/metric inconsistency to business stakeholders as they evaluate a data product. This can be achieved through a combination of semantic layers, old-school data modeling, and data observability – monitoring pipelines and data itself.

IT 52

IT BI Machine Learning Software Engineer 52

Cloudera

NOVEMBER 15, 2022

Applications whose latency and performance requirements can be met by using an object store for the persistence layer benefit significantly with lower cost of operations in the cloud. While it is possible to emulate a hierarchical file system view over object stores, the semantics compared to HDFS are very different.

Database 74

Database Cloud Cloud Storage Architecture 74

Advancing Analytics: Data Engineering

JUNE 21, 2019

This all makes absolute sense, but it’s become more than a solution to a problem, it’s now tradition. Seldom do we have full access to our source system database, with software-as-a-service solutions becoming more popular and additional data feeds being made available in various forms.

Data Warehouse 52

Data Warehouse Business Intelligence Data Data Validation 52

Data Engineering Weekly

FEBRUARY 26, 2023

I believe Data Contract is a technology solution to bring organizational change. It is something like how Kubernetes is a technology solution, at the same time, drives the system architecture to certain characteristics. Similarly, the author points out that the semantic layer is a more efficient and dynamic approach to data catalogs.

Data Engineering 57

Data Engineering Data Engineer Engineering Raw Data 57

Knowledge Hut

SEPTEMBER 29, 2023

The AWS Solutions Architect certification stands out as the most desired among various AWS qualifications. AWS Solution Architect roles have significant applications in the realms of AI , Machine Learning, IoT, and numerous other cutting-edge technologies. We can also learn more about the same on Solution Architect Training.

AWS 52

AWS Project Coding Cloud Computing 52

Knowledge Hut

JULY 24, 2023

The outer layer allows users to interact with the database through queries, applications, updates, and deletions based on their specific needs. Creating Database Abstraction Layer : A database abstraction layer introduces a semantic layer between the data storage layer and the user interfaces accessing stored data.

Database Design 52

Database Design Relational Database Metadata Database 52

Cloudera

SEPTEMBER 17, 2020

A couple of insurance companies were not able to visualize weather data together with time-sensitive incident data in their traditional visualization and data warehouse solutions, leaving room for doubt. Our solution: Cloudera Data Visualization. It is all drag and drop and full of hints for the curious. All forms of data!

Unstructured Data 80

Unstructured Data Data Warehouse Pharmaceutical MySQL 80

AltexSoft

AUGUST 25, 2021

It’s called deep because it comprises many interconnected layers — the input layers (or synapses to continue with biological analogies) receive data and send it to hidden layers that perform hefty mathematical computations. Semantically similar words are aligned in word embeddings of Document x and y.

Process 139

Process Deep Learning Datasets Machine Learning 139

DataKitchen

APRIL 28, 2021

Tools vendors are creating their own definitions of “data fabric” to promote their own product and solution offerings. Whenever a new technology or architecture gains momentum, vendors hijack it for their own marketing purposes. This is happening to the term “data fabric.”

Data Pipeline 98

Data Pipeline Data Data Analytics Architecture 98

Cloudera

OCTOBER 15, 2021

Ozone is also fully compatible with S3 API*, establishing it as a future proof solution and enabling CDP Hybrid Cloud to meet the growing demand for a hybrid data cloud. . The FSO feature provides file system semantics (hierarchical namespace) efficiently while retaining the inherent scalability of an object store.

Cloud 86

Cloud Hadoop Data Analytics Metadata 86

Rockset

SEPTEMBER 26, 2023

The Rockset console where you can setup the Confluent Cloud integration Real-time updates and metadata filtering in Rockset While Confluent delivers the real-time data for AI applications, the other half of the AI equation is a serving layer capable of handling stringent latency and scale requirements.

Metadata 64

Metadata Kafka Cloud Database 64

Zalando Engineering

MARCH 19, 2018

Introducing Semantic Web Technologies at Zalando Two years ago, in March 2016, the newly-opened Helsinki office wondered about the expressivity of our current product data. It quickly became apparent that what the company and teams in Helsinki actually needed, was a technical solution for better fashion understanding.

Scala 52

Scala Machine Learning Deep Learning Datasets 52

Data Engineering Weekly

OCTOBER 30, 2022

link] Sponsored- [New eBook] The Ultimate Data Observability Platform Evaluation Guide Considering investing in a data quality solution? LinkedIn writes about how it builds “Super Tables” [ Is that another name for the semantic layer? ] to solve some of the challenges with self-serving.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Ascend.io

NOVEMBER 28, 2023

Understanding these differences is not just an exercise in semantics; it’s a critical distinction that, if overlooked, could lead to misallocated resources and substantial financial implications when developing data infrastructure.

Data Pipeline 52

Data Pipeline IT Data Metadata 52

DoorDash Engineering

OCTOBER 17, 2023

In this post, we explore some of the common examples of SRM failures we experienced, the solutions we’ve implemented to solve these issues, and how we raised awareness of these solutions internally to dramatically reduce our SRM rate. At DoorDash, we constantly innovate and experiment.To

Education 87

Education Kafka Algorithm Data Warehouse 87