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 119

Generalist Telecommunication Healthcare Data Science 119

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

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

Snowflake

AUGUST 28, 2024

Yet, despite access to advanced marketing technology and rich customer profiles, most businesses still rely on broad, generalized lifecycle marketing campaigns that fail to engage with customers. During a one-time setup, your data owner maps your existing data schemas within the UI, which fuels AI Decisioning’s models.

Cloud 86

Cloud Insurance Data Schemas Algorithm 86

Towards Data Science

NOVEMBER 6, 2024

. // All of them should already be set for existing Spark applications in one // way or another, and their complete list can be found in the UI of any // running separate Spark application on the Environment tab. amazonaws.com", // and others. ) amazonaws.com", // and others. )

Scala 75

Scala Java AWS Coding 75

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 98

Machine Learning Building Datasets Big Data 98

Workfall

SEPTEMBER 18, 2023

Pre-filter and pre-aggregate data at the source level to optimize the data pipeline’s efficiency. Adapt to Changing Data Schemas: Data sources aren’t static; they evolve. Account for potential changes in data schemas and structures.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Data Consumption The consumption layer is essential for extracting and leveraging data from storage systems. Encryption: Secures data both at rest and in transit to prevent unauthorized access.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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 85

Management Kafka Java Certification 85

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 98

Coding SQL Database Data Cleanse 98

Towards Data Science

NOVEMBER 4, 2023

What I like about it is that it makes it really easy to work with various data file formats, i.e. SQL, XML, XLS, CSV and JSON. Among other benefits, I like that it works well with semi-complex data schemas. Pandas is an absolute beast in the world of data and there is no need to cover it’s capabilities in this story.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

Confluent

JUNE 13, 2019

The data from these detections are then serialized into Avro binary format. The Avro alert data schemas for ZTF are defined in JSON documents and are published to GitHub for scientists to use when deserializing data upon receipt.

Kafka 102

Kafka Bytes Python Data Pipeline 102

Towards Data Science

JANUARY 17, 2024

spark.hadoop.fs.s3a.access.key and spark.hadoop.fs.s3a.secret.key: This is the access key and secret key for MinIO. Note that it is the same as the username and password used to access the MinIO web interface. spark.hadoop.fs.s3a.path.style.access: It is set to true to enable path-style access for the MinIO bucket.

Big Data 97

Big Data Data Data Storage SQL 97

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 100

Data Warehouse Datasets Data Big Data 100

Monte Carlo

MAY 31, 2024

LLMs act as silent enablers, working behind the scenes to ensure that data serves its true purpose: driving informed decisions. Automated Machine Learning, or AutoML, makes machine learning more accessible and efficient, enabling users to build models with high predictive performance and minimal manual intervention.

Data Science 52

Data Science Data Schemas Machine Learning Datasets 52

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 SQL Data Schemas 52

DataKitchen

MAY 10, 2024

Data Migration : This use case focuses on verifying data accuracy during migration projects, such as cloud transitions, to ensure that migrated data matches the legacy data regarding output and functionality. Have all the source files/data arrived on time? Is the source data of expected quality?

Data Ingestion 52

Data Ingestion Transportation High Quality Data Data 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 72

Data Warehouse Cloud Kafka Cloud Storage 72

Cloudera

JANUARY 11, 2021

In a multi-tenant environment, many users need to access the same data sources. Experimental and production workloads access the same data without users impacting each others’ SLAs. Cloudera Data Warehouse has two high-performance, massively parallel processing (MPP) query engines — Impala and Hive LLAP.

Data Warehouse 63

Data Warehouse Pharmaceutical Data Lake BI 63

Knowledge Hut

MARCH 19, 2024

When all developers access a centralised codebase with task tracking, code review capacities, annotated editing, it removes so much friction from team coordination. Empowers experimentation: Developers should have admin access to install new languages, libraries, frameworks without facing barriers by IT.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineering Software Engineer 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 Management Data Lake 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 Management Data Lake 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 Management Data Lake Data Governance 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 Accessibility Accessible 52

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 90

Lambda Architecture Datasets Software Engineering Software Engineer 90

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.

MongoDB 52

MongoDB PostgreSQL SQL Database 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

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

Confluent

APRIL 30, 2019

This operator can take an arbitrary transform processor similar to the Processor API and be associated with a state store named stateStore to be accessed within the processor. Another good example of combining the two approaches can be found in the Real-Time Market Data Analytics Using Kafka Streams presentation from Kafka Summit.

Kafka 91

Kafka Coding Process Software Engineering 91

Knowledge Hut

DECEMBER 28, 2023

They build dynamic websites that can be accessed from any location using programming languages, frameworks, and libraries. Web developers build dynamic websites that can be accessed from any location using programming languages, frameworks, and libraries. They must understand SEO terms like meta data, schema, indexing and more.

Programming Language 52

Programming Language Python Certification MongoDB 52

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

Monte Carlo

APRIL 20, 2023

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox. Here are four data lineage use cases for data access and enablement.

Data Warehouse 52

Data Warehouse BI Data Government 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

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 Machine Learning 52

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 Data Storage Raw Data Data Warehouse 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

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