Knowledge Hut

DECEMBER 28, 2023

No Software Load Whether you are working on the cloud or your on-premise system, you’ll need to install some software for database access. If you use an online SQL tool though, all you need is a web browser to access the tool. All this is taken care of by online SQL tool providers, leaving you free to focus on your work.

SQL 52

SQL MySQL PostgreSQL Database 52

Striim

NOVEMBER 8, 2023

Data Mesh is a revolutionary event streaming architecture that helps organizations quickly and easily integrate real-time data, stream analytics, and more. It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics.

Architecture 52

Architecture Generalist Government Datasets 52

Tweag

FEBRUARY 22, 2023

This doesn’t mean one should give everyone full access to the infrastructure. The interface shouldn’t require much infrastructure knowledge nor expose low-level options: this isn’t simply about granting people access to an AWS console. I’ve rather heard a call for simpler, safer, and better automated processes. isn’t sustainable.

Management 52

Management Programming Language Data Schemas Programming 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. What did we use before Rockset?

AWS 52

AWS Data Schemas Accessible Accessibility 52

Snowflake

FEBRUARY 27, 2023

. “In a company, the purpose of data is not to please the data teams, but rather to serve the business itself, which must be able to make use of it in a self-service manner.” What’s the SLA? How should incidents be handled, and by whom? .

Cloud 52

Cloud Retail Data Warehouse Data 52

Rockset

SEPTEMBER 20, 2022

However, analyzing the data generated on the blockchain by these dApps is challenging. The appeal of blockchain - namely, open access, permissionless access, privacy and transparency - renders the on-chain data relatively basic, with only simple transaction details recorded.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Knowledge Hut

NOVEMBER 3, 2023

Real-time Data: Change Streams allows MongoDB users to stream data in real time (as the data is being generated/updated) and provides immediate insights in addition to enabling the data analysts to access the information almost immediately. Quickly pull (fetch), filter, and reduce data.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

OCTOBER 4, 2023

csv) – They are simplified text fields with rows of data. Database SQL database Access database Oracle database IBM Netezza MySQL database Sybase database Power Platform Power BI dataset Dataflows 4. It will ingest the data through Power BI and leverage the complete power of machine learning for easy collaboration.

BI 52

BI Systems Raw Data Business Intelligence 52

Knowledge Hut

APRIL 23, 2024

Data warehouses may have limitations in terms of scalability and performance for big data scenarios. Data Integration Flexibility: Consider the flexibility and agility required for data integration. Data Governance and Compliance: Evaluate your organization's data governance and compliance requirements.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

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. Designing and implementing RESTful APIs for MongoDB data access.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Cloudera

FEBRUARY 9, 2021

In terms of data analysis, as soon as the front-end visualization or BI tool starts accessing the data, the CDW Hive virtual warehouse will spin up cloud computing resources to combine the persisted historical data from the cloud storage with the latest incremental data from Kafka into a transparent real-time view for the users.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

U-Next

SEPTEMBER 22, 2022

As long as the machine is protected by software, hackers won’t care much about hardware security; therefore, they can access the hardware and play with it. Information security involves ensuring that malicious third parties cannot access information shared between two entities based on the developed and analyzed protocols.

Consulting 40

Consulting Database Programming Computer Science 40

Cloud Academy

JANUARY 27, 2022

They need to understand common data formats and interfaces, and the pros and cons of different storage options. Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

FEBRUARY 6, 2023

Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. What teams will be using your new data warehouse? What will they need access to and when? Is your data structured?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Towards Data Science

MAY 11, 2023

On the other hand, in the DOP version, to test calculate_name() code, we can create data to be passed into the function in isolation. In Python, data held by a class can still be accessed by any piece of code that has a reference to the object. to control who can access/change data in Python.

Programming 92

Programming Python Data Schemas Java 92

dbt Developer Hub

FEBRUARY 7, 2022

I intentionally left out two seed files, one of which data/merged_user.csv contains users the JaffleGaggle team have identified as the same person. Oftentimes, in a CRM’s data schema, there’s a built-in treatment for handling merged entities.

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Christophe Blefari

NOVEMBER 11, 2022

Modeling is often lead by the dimensional modeling but you can also do 3NF or data vault. When it comes to storage it's mainly a row-based vs. a column-based discussion, which in the end will impact how the engine will process data. This is probably the concept I liked the most from the video. The end-game dataset.

BI 130

BI Data Warehouse Data Database 130

ProjectPro

FEBRUARY 8, 2023

You can produce code, discover the data schema, and modify it. Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. Developers get access to developer endpoints that they can use to work with the code.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

FEBRUARY 26, 2024

Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definitions. Governance can be handled at a granular level and access control becomes part of the custom workflow.

Metadata 52

Metadata Government Data Data Governance 52

Cloudera

JULY 26, 2021

In fact, data product development introduces an additional requirement that wasn’t as relevant in the past as it is today: That of scalability in permissioning and authorization given the number and multitude of different roles of data constituents, both internal and external accessing a data product.

Generalist 115

Generalist Telecommunication Healthcare Data 115

Netflix Tech

DECEMBER 14, 2018

under varying load conditions as well as a wide variety of access patterns; (b) scalability?—?persisting data access semantics that guarantee repeatable data read behavior for client applications. MDVS also serves as the storehouse and the manager for the data schema itself.

Media 94

Media Database Metadata Data Schemas 94

Rockset

MARCH 31, 2022

DAY 2 On day 2, as I was learning a data schema I had never seen before, I was able to write the SQL, with some amazing help from Rockset. I extracted a string value containing deeply nested JSON data with multiple arrays, subdocuments, sub arrays, etc., I had a web app that could access this treasure trove of data.

MongoDB 52

MongoDB Data Architect Data Schemas SQL 52

Data Engineering Podcast

APRIL 7, 2019

Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. How does the concept of a data slice play into the overall architecture of your platform? How do you manage transformations of data schemas and formats as they traverse different slices in your platform?

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

Snowflake

AUGUST 25, 2023

Our Code Llama fine-tuned (7b, 34b) for text-to-SQL outperforms base Code Llama (7b, 34b) by 16 and 9 percent-accuracy points respectively Evaluating performance of SQL-generation models Performance of our text-to-SQL models is reported against the “dev” subset of the Spider data set.

Coding 74

Coding SQL Data Cleanse Database 74

Databand.ai

JULY 19, 2023

However, with the rise of the internet and cloud computing, data is now generated and stored across multiple sources and platforms. This dispersed data environment creates a challenge for businesses that need to access and analyze their data.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

The Modern Data Company

MAY 8, 2023

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes. In other words, the data is stored in its raw, unprocessed form, and the structure is imposed when a user or an application queries the data for analysis or processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

Monte Carlo

JUNE 26, 2023

After launching our partnership with Databricks last year, Monte Carlo has aggressively expanded our native Databricks and Apache Spark™ integrations to extend data observability into the Delta Lake and Unity Catalog, and in the process, drive even more value for Databricks customers.

Data Lake 52

Data Lake Metadata Bytes Google Cloud 52

Towards Data Science

MARCH 9, 2023

Obviously, it runs on Apache Spark, which makes it the right choice when dealing with a big data context because of Spark’s properties of large-scale distributed computing. Databricks has a community edition hosted in AWS that is free and allows users to access one micro-cluster and build codes in Spark using Python or Scala.

Machine Learning 78

Machine Learning Building Datasets Scala 78

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. Know when data breaks, as soon as it happens.

Building 52

Building Data Lake Business Intelligence Data Pipeline 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Their team uses Python's unittest package and develops a task for each entity type to keep things simple and manageable (e.g., sports activities). count())) df2.show(truncate=False)

Hadoop 52

Hadoop Python Datasets Metadata 52

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. dbt Core is a free open source solution that gives team’s access to the dbt platform using command prompts. When should you use dbt Core?

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Confluent

MAY 28, 2019

The primary cluster: Coordinates primary election among all the Schema Registry instances. Contains the schemas topic, to which primary instances back up newly registered schemas. Confluent Replicator then copies the Kafka schemas topic from the primary cluster to the other cluster for backup. powered by Typeform.

Management 83

Management Kafka Java Certification 83

Netflix Tech

OCTOBER 27, 2020

Netflix Scheduler is built on top of Meson which is a general purpose workflow orchestration and scheduling framework to execute and manage the lifecycle of the data workflow. Bulldozer makes data warehouse tables more accessible to different microservices and reduces each individual team’s burden to build their own solutions.

Data Warehouse 97

Data Warehouse Datasets Data Big Data 97

Pinterest Engineering

MAY 2, 2023

Traditionally, product engineers need to be exposed to the infra complexity, including data schema, resource provisions, and storage allocations, which involves multiple teams. This kind of signal plays a critical role in various ML applications, especially for large-scale sequential modeling applications (see example ).

Lambda Architecture 65

Lambda Architecture Datasets Software Engineer Software Engineering 65