Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. Functionally, in terms of analytical queries, it lacks support for joins, which are useful for complex analytical queries that involve more than one index.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Cloudera

MAY 22, 2018

With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. However, deploying models to production typically requires time-consuming and error-prone recoding, as well as complex DevOps knowledge.

Data Science 42

Data Science Machine Learning Metadata Big Data 42

Netflix Tech

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. Due to previously mentioned complexities, change tracking cannot be simply achieved by using a single watermark. Note that the backfill support is skipped in this blog. Snapshots include references to the actual immutable data files.

Process 84

Process Data Pipeline Datasets SQL 84

Maxime Beauchemin

JANUARY 7, 2018

As ETL pipelines grow in complexity, and as data teams grow in numbers, using methodologies that provide clarity isn’t a luxury, it’s a necessity. For example, if one of the downstream processes joins to a dimension to enrich the data, we’d want for that dimension to be identical to how it was when computing the original process.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). Looking at the duration or complexity of the queries, we uncover queries that have not been written in an optimal way.

Management 72

Management BI Data Warehouse Cloud 72

Rockset

JANUARY 11, 2023

Analytics on DynamoDB Engineering teams often need to run complex filters, aggregations and text searches on data from DynamoDB. That’s because operational workloads have very different access patterns than complex analytical workloads. Shameless Plug: Rockset is a real-time analytics database built for the cloud.

AWS 52

AWS Media NoSQL Database 52

Knowledge Hut

OCTOBER 26, 2023

Web development can range from developing a simple single static page of plain text to complex web applications, electronic businesses, social network services, and many more business use cases. Component-Based : Build encapsulated components that manage their own state, then compose them to make complex UIs.

Project 98

Project Portfolio Electronics Food 98

Knowledge Hut

MARCH 27, 2024

In this blog, we'll delve into the diverse application of linked list data structures, from efficiently managing memory to implementing data structures like stacks and queues. Each change you make in the document is saved as a snapshot or picture of how the document looks at that moment.

Computer Science 52

Computer Science Algorithm Data Utilities 52

DoorDash Engineering

JANUARY 30, 2024

The system’s expansive flexibility, while a key strength, also means that effectively harnessing its full capabilities often involves navigating a complex maze of configurations and performance trade-offs. If not carefully managed, this complexity can sometimes lead to unexpected behaviors or suboptimal performance.

NoSQL 84

NoSQL Database Systems Relational Database 84

Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Apache Iceberg snapshot and time-travel features can help analysts and auditors to easily look back in time and analyze the data with the simplicity of SQL. . What is Apache Iceberg? Financial regulation. Reproducibility for ML Ops.

Metadata 93

Metadata Data Architecture BI Machine Learning 93

dbt Developer Hub

AUGUST 17, 2022

While there are many possible answers depending on dataset size, complexity of modeling, and historical run times, the crux of the matter is normally “did you hit your SLAs”? Instead of recalculating this complex logic every run, we pull only new data and run that logic on the smaller subset of those records. project_id and base_table.

Data Warehouse 59

Data Warehouse Datasets Cloud Coding 59

Snowflake

MARCH 30, 2023

In this blog post we will use what we have learned in this Data Vault blog series to support the data preparation requirements for ML on Snowflake, using Data Vault patterns for modeling and automation. For this reason, a new data management for ML framework has emerged to help manage this complexity: the “feature store.”

Engineering 80

Engineering Raw Data Data Science Scala 80

Rockset

JUNE 8, 2023

For a more detailed examination of using DynamoDB secondary indexes for analytics, see our blog Secondary Indexes For Analytics On DynamoDB. Functionally, in terms of analytical queries, Elasticsearch lacks support for joins , which are useful for complex analytical queries that involve more than one index.

NoSQL 52

NoSQL AWS SQL Database 52

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Impala does not consider all possible join orderings, focusing instead on the subset of left deep join plans. This usually means joins are arranged in a long chain where the left input is preferred to be larger than the right input.

Metadata 144

Metadata Coding SQL Database 144

Rockset

JANUARY 16, 2019

A single-node Kafka cluster is sufficient for the example in this blog, although you may want a multi-node cluster for further work with Kafka and Rockset. Python All the code used in this blog is available under kafka-rockset-integration in the Rockset recipes repository. A Kafka quickstart tutorial can be found here.

Kafka 40

Kafka SQL Python Data 40

Cloudera

MARCH 15, 2023

Solving these consistency problems in a different way would add unnecessary complexity to the business logic of the services, and might require implementing a synchronous approach. The first time our connector connects to the service’s database, it takes a consistent snapshot of all schemas.

PostgreSQL 92

PostgreSQL Kafka Database Data 92

Rockset

DECEMBER 19, 2023

This blog post distills his decade of experience into a comprehensive read, offering a detailed overview of the complexities and innovations at every stage of building a real-world recommender system. Although complex, achieving these real-time updates is essential for the system's accuracy and timeliness.

Systems 52

Systems Machine Learning Deep Learning Media 52

DoorDash Engineering

JANUARY 23, 2024

This saves a client the effort of storing each configuration and then parsing complex time and date handling on their end. Subscribe for weekly updates Lessons learned This section encapsulates our fundamental takeaways, providing a snapshot of the insights gained from our existing architecture and our transition to the new platform.

Architecture 74

Architecture Metadata Bytes Systems 74

Confluent

FEBRUARY 13, 2019

The Akka scaling mechanism uses a cluster service which pools actors from remote nodes that join as cluster members. Stream processor patterns enable filtering , projections, joins , aggregations , materialized views and other streaming functionality. Stream processor stateful operations like join, enrich, window, aggregate, etc.,

Architecture 90

Architecture Programming Kafka Database-centric 90

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

phData: Data Engineering

JANUARY 3, 2022

In this post, we will explore the complexities involved with software engineering with a focus on data engineering and data operations (DataOps). This is a manual and error-prone process, but one that requires the least amount of complexity. While this is a very simple example, in practice, your unit tests will be more complex.

IT 52

IT AWS Software Engineer Software Engineering 52

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. You can read more about Confluent Operator in this blog post from Neha Narkhede , CPO of Confluent, where she explains the motivations behind the technology and what problems it solves.

Kafka 21

Kafka Management Cloud AWS 21