Workfall

SEPTEMBER 18, 2023

In this blog, we’re diving into the world of data integration with Airbyte, unraveling the mystery behind its simplicity, and uncovering how it seamlessly connects with Snowflake to transform your data into actionable insights. In this blog, we will cover: What is Airbyte?

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Cloudera

NOVEMBER 30, 2022

What is CDP Operational Database (COD). CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP).

Database 84

Database Datasets NoSQL Big Data 84

Cloudera

AUGUST 3, 2022

And at its core, Apache Ranger serves as the centralized authorization repository – from databases down to individual columns and rows. Until now, Spark partially adhered to these same policies providing coarse grained access – only at the level of database and tables. Introducing Spark Secure Access Mode. Starting with CDP 7.1.7

Datasets 90

Datasets BI Machine Learning Accessible 90

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. For data professionals that want to make use of data stored in HBase the recent upstream project “hbase-connectors” can be used with PySpark for basic operations.

Machine Learning 133

Machine Learning Data Science Database Building 133

Cloudera

MAY 1, 2023

By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions. The post Projects in SQL Stream Builder appeared first on Cloudera Blog.

SQL 80

SQL Project Kafka Accessible 80

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Custom Event Billing capabilities enable you to build your own pricing strategy. If you missed out, not to worry! Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Confluent

MARCH 26, 2019

RPC calls, database queries), which makes enabling tracing much easier. The transport and database components are pluggable. Initially, there will be a Kafka source connector for Twitter, collecting and producing messages from Twitter posts in real time. Tracing Kafka connectors. Zipkin Architecture Overview.

Kafka 111

Kafka Transportation Metadata Consulting 111

Scott Logic

MARCH 25, 2024

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. A drag-n-drop interface provides an intuitive method of building visualisations, provided the built-in charts meet your requirements. Our focus has been on tools for use on cloud platforms, with moderate levels of demand.

BI 52

BI Business Intelligence Cloud AWS 52

Striim

NOVEMBER 30, 2022

This includes enterprise databases via Change Data Capture, transactional data, and AWS Cloud environments. It comes with pre-built data connectors that can automate your data movement from any source to AWS Redshift or S3 within a few minutes. Currently, all store data is stored in a transaction database (Oracle).

AWS 52

AWS Cloud Management Google Cloud 52

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. AWS Glue Technical Interview Questions In the AWS Glue Catalog, how do you list databases and tables?

AWS 52

AWS Data Lake ETL Tools Scala 52

Pinterest Engineering

AUGUST 18, 2022

Ankita Girish Wagh | Senior Software Engineer, Storage and Caching Introduction and Motivation At Pinterest, HBase is one of the most critical storage backends, powering many online storage services like Zen (graph database), UMS (wide column datastore), and Ixia (near real time secondary indexing service). Stop writing to database A.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. Building the Model. Builds and Scores batch score table.

Machine Learning 113

Machine Learning Database Data Science Building 113

Rockset

SEPTEMBER 25, 2020

According to over 40,000 developers, MongoDB is the most popular NOSQL database in use right now. This blog post will look at three of them: tailing MongoDB with an oplog, using MongoDB change streams, and using a Kafka connector. Problems arise if your primary database wasn’t properly replicated and a network outage occurs.

MongoDB 52

MongoDB Kafka Database NoSQL 52

Cloudera

JULY 21, 2022

Integrating with Cloudera DataFlow for streaming ingest and Cloudera Data Warehouse for querying, Rill’s solution solves three critical challenges in the analytics stack: ETL Pain : Modeling event streams into the flat formats required by operational databases is inefficient and lacks observability. Fast approximate histograms.

BI 88

BI Digital Media Data Warehouse Kafka 88

Rockset

NOVEMBER 9, 2021

There are multiple change data capture methods available when using a MySQL or Postgres database. Some of these methods overlap and are very similar regardless of which database technology you are using, others are different. Kafka Connect also has connectors to target systems that can then write these records for you.

MySQL 52

MySQL Kafka AWS Database 52

Netflix Tech

OCTOBER 15, 2019

A common solution is to build a repair routine, which can periodically re-apply data from the first to the second store, or does so only if differences are detected. Moreover, the team had to build a system that periodically updated their search index by querying others for changes, even if there was no change at all.

Transportation 77

Transportation MySQL Kafka Data 77

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Data engineering tools can help automate many of these processes, allowing data engineers to focus on higher-level tasks like extracting insights and building data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

OCTOBER 11, 2023

You will be able to learn and do the following tasks after doing online Power BI course: Gain thorough knowledge of BI tool's operation in many scenarios Three crucial elements: Power BI desktop, mobile, and service apps Excel spreadsheets or local databases can be used to visualize, analyze, and get insights from data.

BI 52

BI Certification Business Intelligence Consulting 52

Rockset

JUNE 7, 2021

The rule of thumb is that if you are looking to build a real-time data processing system then the push approach should be used. Most patterns require the source system to flag that a change has happened to some data, for example by updating a specific column on a table in the database or putting the changed record onto a queue.

IT 40

IT Kafka Database MongoDB 40

Striim

NOVEMBER 8, 2023

In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim. A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. From there, streaming data consumers (e.g.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

JULY 22, 2021

One of the challenges that gaming companies face is rapidly building features that can strengthen network effects. In this blog, we’ll discuss the speed and scale requirements of gaming leaderboards. Severless service: Rockset is a distributed database that can be scaled with a click of the button or an API call.

Electronics 52

Electronics NoSQL Database SQL 52

Cloudera

APRIL 30, 2021

Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. All required dependencies (such as the Hive Warehouse connector) are already included in the base image run by CDE and are made available to the Spark program at runtime. To find out more about CDE review this article.

Python 63

Python Data Engineering Data Engineer Engineering 63

Rockset

FEBRUARY 7, 2020

Building Real-Time Analytics on Connected Car IoT Data For our example, we have a fleet of connected vehicles that send the sensor data they generate to a Kafka cluster. This particular Kafka topic is syncing continuously with a collection in Rockset via the Rockset Kafka Sink connector. Maven is required to build and run this.

Kafka 40

Kafka Transportation Data SQL 40

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

Kafka 40

Kafka Database Process SQL 40

Rockset

JULY 8, 2020

Building a scalable, distributed, and real-time ETA prediction system is a tough task, but what if we could simplify its design? Once an order is delivered, the actual time of arrival is also stored in the database. Rockset has a built-in connector to Apache Kafka.

Kafka 40

Kafka Designing Systems Food 40

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. However, as an operational database optimized for transaction processing, DynamoDB is not well-suited to delivering real-time analytics.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Rockset

JANUARY 23, 2019

In this blog, I will discuss how Rockset integrates with DynamoDB and continuously updates a collection automatically as new objects are added to a DynamoDB table. DynamoDB Integration Amazon DynamoDB is a key-value and document database where the key is specified at the time of table creation.

SQL 40

SQL NoSQL AWS Datasets 40

Cloudera

MARCH 11, 2022

KConnect has been added and gains additional capabilities with new connectors and Stateless Apache NiFi capabilities which can run NiFi Flows as connectors. Beyond the addition of this new core component are additional features and enhancements to KConnect, from enterprise-grade security improvements, to new out-of-the-box connectors.

Cloud 107

Cloud Kafka Utilities Database 107

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. As the databases professor at my university used to say, it depends. Building a resilient and scalable solution is not always easy. Building an indexing pipeline at scale with Kafka Connect. Direct indexing.

Architecture 96

Architecture Building Kafka Database-centric 96

Cloudera

AUGUST 10, 2022

CSP allows developers, data analysts, and data scientists to build hybrid streaming data pipelines where time is a crucial factor, such as fraud detection, network threat analysis, instantaneous loan approvals, and so on. To run a new connector you simply have to select a connector template, provide the required configuration, and deploy it.

Process 91

Process Kafka PostgreSQL MySQL 91

Picnic Engineering

MARCH 28, 2023

Whenever something happens on the TS, a record is written to the Postgres database. It detects any changes made to a database and exposes them as events. 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

Snowflake

MARCH 2, 2023

The volume of data generated in real time from application databases, sensors, and mobile devices continues to grow exponentially. As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. How does Snowpipe Streaming work?

Kafka 123

Kafka Data Ingestion Data Pipeline Cloud Storage 123

Confluent

SEPTEMBER 26, 2019

The significant difference today is that companies use Apache Kafka as an event streaming platform for building mission-critical infrastructures and core operations platforms. ® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog).

Kafka 21

Kafka BI SQL Datasets 21

Cloudera

MARCH 15, 2023

Writing to a database and sending messages to a message bus is not atomic, which means that if one of these operations fails, the state of the application can become inconsistent. It uses a Postgres database as a local storage, and Spring Data to handle persistence. The service and the database run in docker containers.

PostgreSQL 92

PostgreSQL Kafka Database Data 92

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. Furthermore, Glue supports databases hosted on Amazon Elastic Compute Cloud (EC2) instances on an Amazon Virtual Private Cloud, including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL.

AWS 98

AWS Scala Metadata Data Lake 98

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52