Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

Netflix Tech

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Data Warehouse 97

Data Warehouse Datasets Data Big Data 97

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. What is a data lake? Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

IT 93

IT Data Lake Data Warehouse Cloud Storage 93

Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. The Cost-Effective Data Warehouse Architecture. Separate Ingestion from Analysis. One of the key tenets of CDP is separation. Low Maintenance.

Data Warehouse 70

Data Warehouse Cloud Kafka Cloud Storage 70

Cloudera

JANUARY 11, 2021

Requests to Central IT for data warehousing services can take weeks or months to deliver. In data-driven organizations, to fulfill its charter to democratize data and provide on-demand, quality computing services in a secure, compliant environment, IT must replace legacy approaches and update technologies. billion dollars.’.

Data Warehouse 62

Data Warehouse Pharmaceutical Data Lake BI 62

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Snowflake

APRIL 23, 2024

The connector provides immediate access to up-to-date ServiceNow data without the need to manually integrate against API endpoints. With just a few clicks, you can get ServiceNow data directly in your Snowflake account and combine it with other data sources, including ERP, HR and CRM systems. Here’s how.

Data Warehouse 95

Data Warehouse Data Integration Consulting Metadata 95

Precisely

MAY 13, 2024

If you need to build stronger, faster, and flexible data integration, use this checklist of ten key attributes to streamline your search and find the right technology for your organization, faster. #1. Are these sources a match for all my batch data ingest and change data capture (CDC) needs? #2.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 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

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, 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. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, 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. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 25, 2023

When it comes to the question of building or buying your data stack, there’s never a one-size-fits-all solution for every data team—or every component of your data stack. Data storage and compute are very much the foundation of your data platform. Let’s jump in! So, let’s take a look at each in a bit more detail.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How can we interoperate between the data domains ? How do we govern all these data products and domains ?

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

DECEMBER 4, 2022

Summary Business intelligence is the foremost application of data in organizations of all sizes. The typical conception of how it is accessed is through a web or desktop application running on a powerful laptop. Zing Data is building a mobile native platform for business intelligence.

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Data Engineering Weekly

DECEMBER 29, 2022

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. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise.

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Cloudera

SEPTEMBER 28, 2021

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage.

Accessible 62

Accessible Accessibility Cloud Cloud Storage 62

Knowledge Hut

MARCH 7, 2024

In August 2018,  LinkedIn reported claimed that US alone needs 151,717 professionals with data science skills. This along with a 15 percent discrepancy between job postings and job searches on Indeed, makes it quite evident that the demand for data scientists outstrips supply. Inability to process large volumes of data Out of the 2.5

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Towards Data Science

NOVEMBER 4, 2023

I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? Are your data pipelines efficient? Often it is a data warehouse solution (DWH) in the central part of our infrastructure.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Data Engineering Podcast

NOVEMBER 27, 2022

This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. Missing data? Stale dashboards?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Towards Data Science

JULY 24, 2023

A data engineering manager at a Fortune 500 company expressed the pain of on-prem limitations to me by saying: “Our analysts were unable to run the queries they wanted to run when they wanted to run them. Why are these things related, and more importantly, why should data leaders care? Take data governance for example.

Metadata 95

Metadata Data Warehouse Data Lake Data Science 95

ThoughtSpot

MAY 31, 2023

This includes services that: Manage and monitor the tenant-specific resources—this does not include access to tenant data Maintains indexed data to serve as your application home page. This multi-tenant service isolates the tenant metadata index, authorizing and filtering the search answer requests from every tenant.

Data Security 86

Data Security Metadata Transportation Data Warehouse 86

Cloudera

JULY 13, 2023

A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself. The data files and metadata files in Iceberg format are immutable.

Metadata 70

Metadata Java PostgreSQL Data Warehouse 70

Data Engineering Podcast

MAY 18, 2021

In order to get a holistic understanding of your data quality, where errors are occurring, or how a report was constructed you need to track the lineage of the data from beginning to end. RudderStack’s smart customer data pipeline is warehouse-first. Sign up free at dataengineeringpodcast.com/rudder today.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

phData: Data Engineering

SEPTEMBER 19, 2023

Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. It provides a blueprint for organizing and representing data to enable efficient querying, analysis, and interpretation. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 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 not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Data Engineering Podcast

MARCH 27, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Governance 130

Data Governance Government Cloud Building 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. Every week same analysis for me.

BI 130

BI Google Cloud SQL Machine Learning 130

Towards Data Science

FEBRUARY 6, 2024

As you do not want to start your development with uncertainty, you decide to go for the operational raw data directly. Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Metadata update Data products need to be understandable.

Systems 79

Systems Raw Data Metadata Data Cleanse 79

Data Engineering Weekly

MARCH 24, 2024

link] Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview of the state of the data streaming landscape in 2024. The APIs support emitting unstructured log lines and typed metadata key-value pairs (per line). The extracted key-value pairs are written to the line’s metadata.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

RandomTrees

FEBRUARY 6, 2024

Increasing complexity of data integration : Gen AI can play a pivotal role in streamlining data integration which can help in reducing the time taken by product engineers in the productization process by utilizing intelligent algorithms to identify data relationships, map schemas, and enable smooth integration across diverse datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Monte Carlo

MARCH 28, 2023

As part of this movement, Fivetran and dbt fundamentally altered the data pipeline from ETL to ELT. Hightouch interrupted SaaS eating the world in an attempt to shift the center of gravity to the data warehouse. The modern data stack didn’t arise because it did everything better than its predecessor.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first. How does it work? regulatory, security, etc.)

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100