Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

Rockset

AUGUST 30, 2021

It becomes prohibitively complex and expensive to use a data warehouse to serve real-time analytics. Rockset: Real-time Analytics Built for the Cloud Rockset is doing for real-time analytics what Snowflake did for batch. You can also optionally use WHERE clauses to filter out data.

SQL 52

SQL Kafka MongoDB MySQL 52

DareData

JULY 5, 2023

The architecture of a data lake project may contain multiple components, including the Data Lake itself, one or multiple Data Warehouses or one or multiple Data Marts. The Data Lake acts as the central repository for aggregating data from diverse sources in its raw format.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

ProjectPro

DECEMBER 7, 2021

Consequently, data engineers implement checkpoints so that no event is missed or processed twice. It not only consumes more memory but also slackens data transfer. Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources. ADF does not store any data on its own.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

DareData

JANUARY 30, 2023

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Rockset

MARCH 1, 2023

Rockset introduces a new architecture that enables separate virtual instances to isolate streaming ingestion from queries and one application from another. Developers can spin up or down virtual instances based on the performance requirements of their streaming ingest or query workloads.

Architecture 59

Architecture AWS SQL Cloud Storage 59

Rockset

OCTOBER 4, 2022

Separation of Compute and Storage Design for the cloud is another area where Rockset and ClickHouse diverge. ClickHouse is offered as software, which can be self-managed on-premises or on cloud infrastructure. Several vendors also offer cloud versions of ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Rockset

OCTOBER 26, 2022

As our database of record, DynamoDB was great at ingesting external data, which we stored within a single table in DynamoDB. One was to create another data pipeline that would aggregate data as it was ingested into DynamoDB. And with the NFL season set to start in less than a month, we were in a bind.

SQL 52

SQL NoSQL Database Aggregated Data 52

ProjectPro

FEBRUARY 8, 2023

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

Ascend.io

MARCH 14, 2023

Monolithic data platforms can be incredibly slow, and the more they try to satisfy every use case for every type of business, the more complex and complicated they become. Usability In a data mesh, you publish your domain data to make it more feasible to digest and use. appeared first on Ascend.io.

Government 52

Government Architecture Data Lake Data 52

Ascend.io

MARCH 14, 2023

Monolithic data platforms can be incredibly slow, and the more they try to satisfy every use case for every type of business, the more complex and complicated they become. Usability In a data mesh, you publish your domain data to make it more feasible to digest and use. appeared first on Ascend.io.

Government 52

Government Architecture Data Lake Data 52

AltexSoft

SEPTEMBER 21, 2023

Accessible via a unified API, these new features enhance search relevance and are available on Elastic Cloud. The Elastic Stacks Elasticsearch is integral within analytics stacks, collaborating seamlessly with other tools developed by Elastic to manage the entire data workflow — from ingestion to visualization.

Engineering 52

Engineering NoSQL Programming Language Java 52

Rockset

NOVEMBER 1, 2022

These companies migrated to Rockset in days or weeks, not months or years leveraging the power and simplicity of a cloud-native database. Step 1: Data Acquisition Elasticsearch is rarely the system of record which means the data in it comes from somewhere else for real-time analytics.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

phData: Data Engineering

JANUARY 3, 2022

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Rockset

APRIL 15, 2022

It’s probably because their analytics database lacks the features necessary to deliver data-driven decisions accurately in real time. All updates are appended rather than written over existing data records. That is a tall order, but it is especially difficult when your immutable database uses clumsy hacks to ingest out-of-order data.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59