Monte Carlo

JUNE 28, 2022

Monte Carlo can automatically monitor and alert for data schema, volume, freshness, and distribution anomalies within the data lake environment. Delta Lake The Delta Lake is an open source storage layer that sits on top of and imbues an existing data lake with additional features that make it more akin to a data warehouse.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Knowledge Hut

MARCH 22, 2024

Versatility: The versatile nature of MongoDB enables it to easily deal with a broad spectrum of data types , structured and unstructured, and therefore, it is perfect for modern applications that need flexible data schemas. Experience with infrastructure-as-code tools (e.g., Cloud platform and service proficiency (e.g.,

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data.

AWS 52

AWS Data Schemas Accessible Accessibility 52

Cloud Academy

JANUARY 27, 2022

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Yes, data engineers are in demand, especially as companies realize that the hype of data science is built on the foundation of work from data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

U-Next

SEPTEMBER 22, 2022

In addition, they protect the organization’s IT infrastructure, switches, and servers by supporting the code environment. . To help an organization build a strong DBMS, an Ethical Hacker must understand this and the different database engines and data schemas. . Top Firms Actively Hiring Ethical Hackers .

Consulting 40

Consulting Database Programming Computer Science 40

Monte Carlo

FEBRUARY 6, 2023

Snowflake offers a professional services team to manage migrations, but you’ll need to complete a code assessment and create a migration plan before migrating. One major consideration when planning a data warehouse migration to Snowflake is partitions. Unlike other data warehouses, Snowflake doesn’t support partitions or indexes.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

FEBRUARY 26, 2024

Alation’s Open Data Quality Initiative allows smooth data sharing between sources. Alteryx Connect Alteryx Connect data catalog. With Alteryx , you can create workflows without needing to code by using the provided automation building blocks. Atlan Atlan data catalog. Castor Castor data catalog.

Metadata 52

Metadata Government Data Data Governance 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. This is depicted in Figure 1.

Media 94

Media Database Metadata Data Schemas 94

Ascend.io

MAY 24, 2023

With more than eight years of experience in diverse industries, Sarwat has spent the last four building over 20 data pipelines in both Python and PySpark with hundreds of lines of code. Dive right into Sarwat’s full presentation at the Data Pipeline Automation Summit 2023. Reading not your thing?

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Monte Carlo

AUGUST 2, 2022

Here’s how teams on Databricks and Monte Carlo can benefit from our strategic partnership: Achieve end-to-end data observability across your Databricks Lakehouse Platform without writing code. Get full, automated coverage across your data pipelines with a low-code implementation process.

Building 52

Building Data Lake Business Intelligence Data Pipeline 52

Netflix Tech

OCTOBER 23, 2019

Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. A notebook execution is a record of a particular piece of code, run at a particular point in time, in a particular environment.

Scala 93

Scala Machine Learning Python Coding 93

Netflix Tech

OCTOBER 31, 2018

Specifically, structured data that is modeled around the notion of a media timeline, with additional spatial properties. This blog post details the structure of the media timeline data model used by NMDB called a “ Media Document ”. Timing Model We use the Media Document model to represent timed metadata for our media assets.

Media 54

Media Metadata Data MongoDB 54

Monte Carlo

APRIL 24, 2023

If streaming data is a priority for your platform, you might also choose to leverage a system like Confluent’s Apache Kafka along with some of the above mentioned technologies. That means less engineering time spent coding and maintaining pipelines—and less complexity down the road as you begin to invest in other layers of your data stack.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Confluent

JUNE 13, 2019

Much of the code used by modern astronomers is written in Python, so the ZTF alert distribution system endpoints need to at least support Python. We built our alert distribution code in Python, based around Confluent’s Python client for Apache Kafka. Alert data pipeline and system design.

Kafka 101

Kafka Bytes Data Pipeline Python 101

Netflix Tech

OCTOBER 23, 2019

Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. A notebook execution is a record of a particular piece of code, run at a particular point in time, in a particular environment.

Scala 43

Scala Machine Learning Python Coding 43

Netflix Tech

OCTOBER 23, 2019

Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. A notebook execution is a record of a particular piece of code, run at a particular point in time, in a particular environment.

Scala 40

Scala Machine Learning Python Coding 40

Ascend.io

MAY 19, 2023

Stage 3 begins as these early adopters collaborate formally and informally, identifying and documenting best practices and patterns in the form of “reference architectures”. In our case, data ingestion, transformation, orchestration, reverse ETL, and observability. In fact, integration is a hallmark of the modern data stack.

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Media 52

Monte Carlo

JUNE 9, 2022

For example, we could show campaign performance across the top 20 zip codes and now advertisers can access data across all 30,000 zip codes in the US if they want it… …I love that with Snowflake and Monte Carlo my data stack is always up-to-date and I never have to apply a patch.

IT 52

IT Healthcare Raw Data Data Warehouse 52

Confluent

SEPTEMBER 27, 2019

It is important to enforce data governance policies in a single place. The best place is inside the event streaming platform itself, so that we don’t have to audit each client to make sure their application code has respected all the rules. preview documentation to get started. You can use the code blog19 to get 30% off!

Kafka 16

Kafka Data Governance Bytes Government 16

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

Rockset

DECEMBER 9, 2021

Deeply-nested JSON and dynamic schemas. Real-time data streams typically arrive raw and semi-structured, say in the form of a JSON document, with many levels of nesting. Moreover, new fields and columns of data are constantly appearing. These can easily break rigid data pipelines in the batch world.

Transportation 52

Transportation BI SQL Data Warehouse 52