Monte Carlo

AUGUST 31, 2023

In a former life, Barr Moses, served as VP of Operations at a customer success software company. She was responsible for managing her company’s data operations and making sure stakeholders were set up for success when working with data. We’ll take a closer look at variables that can impact your data next.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

FEBRUARY 8, 2021

A successful next-generation architecture must embody key characteristics including embedded intelligent edge computing, a secure and reliable embedded edge operating system, the ability to provide dynamic over-the-air updates, and an enterprise level advanced analytics and machine learning platform.

Manufacturing 109

Manufacturing Machine Learning Data Ingestion Electronics 109

Data Engineering Weekly

DECEMBER 21, 2022

Any blog is incomplete if it does not include a Gartner prediction, so let’s start with one. A simple addition of a column requires multiple approval workflows and a project. The data pipeline should be able to recompute the desired state. Let’s reference what the data world looked like before the Hadoop era.

Data Engineering 57

Data Engineering Data Engineer Engineering Hadoop 57

Rockset

SEPTEMBER 25, 2020

The tool’s meteoric rise is likely due to its JSON structure which makes it easy for Javascript developers to use. This blog post will look at three of them: tailing MongoDB with an oplog, using MongoDB change streams, and using a Kafka connector. This means that your database will drop these operations.

MongoDB 52

MongoDB Kafka Database NoSQL 52

DareData

NOVEMBER 28, 2023

These practices and methodologies are commonly known as MLOps, short for Machine Learning Operations and they bridge the gap between data science and software engineering, ensuring the pillars of experimentation: reproducibility, performance, scalability and monitorization. This is the approach to choose whenever instant replies are crucial.

Data Science 52

Data Science Medical Machine Learning Data 52

Databand.ai

DECEMBER 13, 2022

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. Deepak regularly shares blog content and similar advice on LinkedIn. It also features tidbits from Deepak’s personal experience and advice on acing interviews to help land your dream job.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Netflix Tech

JULY 30, 2019

In this blog, we would like to present the latest updates to Conductor, address some of the frequently asked questions and thank the community for their contributions. Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix.

Metadata 75

Metadata Media AWS Transportation 75

Lyft Engineering

SEPTEMBER 6, 2023

It embeds this IP-based routing overrides metadata into the OpenTracing HTTP header x-ot-span-context baggage (a key-value structure embedded within the header). Plus, this Context ID abstraction came with support for multiple environments per developer. This is the header that undergoes context propagation referenced in Step 3.

Building 80

Building Metadata Electronics Engineering 80

Rockset

MAY 21, 2021

In this blog, we’ll walk through real-time analytics use cases and some of the continual challenges on the implementation front. A key ingredient in unlocking personalization is a data stack that can act on real-time data from multiple, disparate sources. While an astonishingly expensive number, there was a silver lining in the report.

Retail 40

Retail Algorithm Big Data Data Analytics 40

ProjectPro

JUNE 18, 2021

This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. It requires much fewer lines of code than other programming languages to perform the same operations. Which has a better future: Python or Java in 2021?

Java 52

Java Data Science Python Programming Language 52

Towards Data Science

APRIL 30, 2024

Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. It is the first choice Google would recommend when dealing with a stream processing workload. If you want to learn more about stream processing, I strongly recommend this paper.

Google Cloud 63

Google Cloud Process Cloud Lambda Architecture 63

Rockset

MARCH 1, 2023

Unpredictable Data Streams Anyone who has managed real-time data streams at scale will tell you that data flash floods are quite common. Even the most behaved and predictable real-time streams will have occasional bursts where the volume of the data goes up very quickly. So they are not suitable for real-time analytics.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

Monte Carlo

JULY 7, 2022

You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.” There are multiple approaches to solving these issues and data engineers are still very much pioneers exploring the frontier of future best practices. Let’s talk about how it works.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Snowflake

SEPTEMBER 11, 2023

Announced at Snowflake Summit 2022 as Materialized Tables (and later renamed), Dynamic Tables are the declarative form of Snowflake’s Streams and Tasks. As Snowflake streams define an offset to track change data capture (CDC) changes on underlying tables and views, Tasks can be used to schedule the consumption of that data.

SQL 69

SQL Data Raw Data Architecture 69

Cloudera

OCTOBER 17, 2023

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. And the layered APIs from low-level operations to high-level abstractions gives Flink appeal to a broad range of users.

Database-centric 78

Database-centric Kafka Pipeline-centric Database 78

ProjectPro

SEPTEMBER 11, 2015

There will always be a place for RDBMS, ETL, EDW and BI for structured data. According to a McKinsey Global Institute study, it is estimated that in the United States alone, there will be a shortage of Big Data and Hadoop talent by 1.9k Multiple files can be uploaded using this command by separating the filenames with a space.

Hadoop 52

Hadoop Java BI Big Data 52

Data Engineering Weekly

MARCH 24, 2023

The real-world scenario is much more complex than this, but for the scope of this blog, let’s keep the ride-sharing business process into three simple steps. The events are then further enriched and analyzed to bring visibility to business operations. The riders request a new ride.

Engineering 67

Engineering Data Transportation Database 67

Edureka

FEBRUARY 9, 2023

This blog will guide you in creating an effective Azure Data Engineer resume that highlights your skills, experience and achievements in the field, and helps you stand out in a competitive job market. Assess the current production state of the application and evaluate the effect of new implementations on existing business processes.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Edureka

JANUARY 12, 2024

Ensures smooth operation and data handling behind the scenes. This leads to multiple integrations per day. This approach aims to minimize the difficulties in integrating code changes from multiple developers, ensuring that the software being developed is always in a state that can be deployed to users.

NoSQL 52

NoSQL Java MongoDB Programming 52

Zalando Engineering

JULY 10, 2023

Welcome back to our web platform blog series! We are excited now to reconnect and share with you some substantial enhancements we've made to the streaming and rendering architecture of our Rendering Engine framework. Which when organized in tree-like structures, can be used to define full layout and contents of pages.

Engineering 40

Engineering Architecture Coding Utilities 40

Rockset

JUNE 8, 2023

As an operational database, DynamoDB is optimized for real-time transactions even when deployed across multiple geographic locations. The primary key acts as an index, making query operations inexpensive. DynamoDB is also not well-designed to index data in nested structures, including arrays and objects.

NoSQL 52

NoSQL AWS SQL Database 52

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. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 80

Engineering Raw Data Data Science Scala 80

Confluent

APRIL 30, 2019

Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature. Kafka Streams topology generation 101.

Kafka 90

Kafka Coding Process Bytes 90

Cloudera

JANUARY 17, 2021

Most blogs in my history are very focused on Industry 4.0’s is expected to generate greater than $11 trillion in economic value as connected manufacturing processes, operations and their supply chains become more streamlined, efficient, agile and realize improved productivity, improved uptime and product quality. . and sold 322.1

Database-centric 66

Database-centric Manufacturing Retail Food 66

Rockset

FEBRUARY 24, 2022

Which databases are optimized for ingesting streaming events and analyzing them in real time? We’ll start by evaluating three options for running real-time analytics on AWS Kinesis event streams. About Using Event Data Events are messages that are sent by a system to notify operators or other systems about a change in its domain.

AWS 52

AWS Amazon Web Services Kafka SQL 52

DataKitchen

JULY 27, 2023

Multi-Tool Patterns Indeed, designing patterns involving data pipelines often involves using multiple tools in conjunction, each with its strengths. Azure Data Factory), some are built for real-time streaming (e.g., Azure Stream Analytics), and others might be more suited for machine learning workflows (e.g.,

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Rockset

MAY 3, 2022

This blog post discusses data duplication, how it plagues teams adopting real-time analytics , and the deduplication solutions Rockset provides to resolve the duplication issue. Whenever another distributed data system is added to the stack, organizations become weary of the operational tax on their engineering team.

Kafka 52

Kafka Data Warehouse Database Data 52

Picnic Engineering

MARCH 28, 2023

Our approach is to capture these changes and stream them via our Apache Kafka based analytics platform to our Snowflake data warehouse. In our case, we enable Debezium within the Postgres database of the TS and stream change events to the data warehouse. Each operation in Postgres results in a Kafka event.

Kafka 52

Kafka Transportation Data Warehouse Database 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Thus, we suggest you explore as many big data tools as possible by working on multiple data engineering projects.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Netflix Tech

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational.

Process 84

Process Data Pipeline Datasets SQL 84

Data Engineering Weekly

DECEMBER 4, 2022

The author narrates why the data models are still important for managing data assets' structure, content, and relationships but also need to keep agility in mind to bring business velocity. Streaming plus batch unified in a single platform. Is Trace an appropriate data structure for funnel analysis than dimensional modeling?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Rockset

MARCH 26, 2023

To do this, Rockset has partnered with Confluent, the original creators of Kafka who provide the cloud-native data streaming platform Confluent Cloud. At Confluent I talked often about the fanciful sounding “Stream and Table Duality”. If you are interested in the details, we’ve been schemaless since 2019 as blogged about here.

Cloud 52

Cloud PostgreSQL Kafka Database 52

ProjectPro

NOVEMBER 22, 2021

RDD- It is Spark's structural square. It's useful when you need to do low-level transformations, operations, and control on a dataset. It's more commonly used to alter data with functional programming structures than with domain-specific expressions. DataFrame- It allows the structure, i.e., lines and segments, to be seen.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

FEBRUARY 8, 2023

Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Big data helps businesses increase operational efficiency, creating a better balance between performance, flexibility, and pricing. AWS Glue is here to put an end to all your worries! billion by 2026?

AWS 98

AWS Scala Metadata Data Lake 98

Rockset

MAY 3, 2023

Rockset is a database used for real-time search and analytics on streaming data. In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. lower latency than Elasticsearch for streaming data ingestion.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Cloudera

APRIL 21, 2022

This health-records system emanated from two legacy structures — one serving the Veterans Administration (VA), the other serving the DoD. This operation requires a massively scalable records system with backups everywhere, reliable access functionality, and the best security in the world. With more than 5,000 locations worldwide, 2.3

Electronics 87

Electronics Medical Hospitality Insurance 87

Netflix Tech

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. this means most of these entries represent normal/ideal/as expected runtime states. requiring multiple if not several joins to gather the data.

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71