Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. Our initial use for Druid was for near real-time geospatial querying and high performance on high-cardinality data sets. An example of how we use Druid rollup at Lyft.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

DoorDash Engineering

AUGUST 1, 2023

Integration: We use open-source systems to make our metrics, dashboards, and alerts portable. Setting naming conventions and common tags optimizes for any future reset of dashboards and alerts. No additional steps are required to build dashboards or create service alerts.

AWS 82

AWS Transportation Programming Language Government 82

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

Databand.ai

JULY 5, 2023

Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. By using shared dashboards offered by data observability platforms, various stakeholders can gain visibility into the status of critical datasets, fostering better collaboration across teams.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Knowledge Hut

SEPTEMBER 27, 2023

Azure's diverse services encompass computing, storage, databases, AI , and IoT, offering a comprehensive solution for a broad spectrum of needs. You can create virtual machines, databases, storage accounts, and more within your subscription. Within a few seconds, your account will be ready.

Database-centric 52

Database-centric Cloud Computing Cloud Database 52

Cloudera

NOVEMBER 10, 2020

Optimize and troubleshoot – with intelligence. If you have data in some other database and want to correlate it with data in your Data Cloud, you can also easily upload csv files or connect to another database for import. Optimization as you go. Design and iterate over queries – quickly and easily.

SQL 110

SQL Unstructured Data Data Lake Hadoop 110

Databand.ai

JUNE 28, 2023

This might include processes like data extraction from different sources, data cleansing, data transformation (like aggregation), and loading the data into a database or a data warehouse. Each of these stages can have different behaviors and potential issues that can impact the data quality, reliability, and overall performance of the system.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

LinkedIn Engineering

OCTOBER 19, 2023

This technology has optimized cost-to-serve by 2x by unifying stream and batch processing through Apache Samza and Apache Spark runners, enabled real-time ML feature generation, reduced time-to-production for new pipelines from months to days, allowed for processing time-series events at over 3 million queries per second, and more.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Monte Carlo

SEPTEMBER 8, 2023

In practical terms, Monte Carlo integrates across your data systems and monitors the data coming into the tables in your database to alert you when something is out of the ordinary. Specifically,how we use these monitors to alert on query/task performance. Creating a SQL custom monitor in the Monte Carlo UI.

Kafka 75

Kafka SQL Data Pipeline Database 75

Knowledge Hut

SEPTEMBER 27, 2023

We'll tackle the longstanding debate of Azure Monitor vs. Azure Advisor in this blog. Thus, this KnowledgeHut blog will show us how to fine-tune our Azure environment. Recommends best practices for optimizing Azure resources. Helps manage costs, improves security and boosts performance.

Government 52

Government Data Collection Data Analysis Cloud 52

Edureka

FEBRUARY 18, 2023

BI can help organizations turn raw data into meaningful insights, enabling better decision-making, optimizing operations, enhancing customer experiences, and providing a strategic advantage. Data visualization: Once the data is analyzed, it is presented in a visual format, such as graphs, charts, and dashboards.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

ProjectPro

FEBRUARY 16, 2023

If you are wondering how artificial intelligence differentiates business intelligence, this blog will allow you to discover the top differences based on certain aspects, including tools, applications, and contribution areas. The blog will also guide you through how combining AI and BI will help improve business solutions.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

OCTOBER 11, 2023

The Power BI service has a wide range of functions, including dashboards, data visualization, and visual analytics. With dashboards that are specifically designed, you can produce, share, collaborate, and gain from company information. Produce insightful reports and visualizations, gather timely insights, and distribute them as needed.

BI 52

BI Certification Business Intelligence Consulting 52

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Knowledge Hut

SEPTEMBER 26, 2023

In this blog, I will share Azure administrator roles and responsibilities in 2023 and explore how aspiring professionals can prepare themselves for a more effective career with Microsoft’s latest platform advances. Ensuring the availability and performance of cloud-based solutions, knowing Azure networking is vital.

Cloud Computing 52

Cloud Computing Certification Cloud Database 52

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. It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics. From there, streaming data consumers (e.g.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

MAY 12, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Executives didn’t expect reports more than once a week nor dashboards to have up-to-the-minute data. Databases could just buffer, ingest and query data on a regular schedule. It was expensive, but it was safe.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Cloudera

SEPTEMBER 24, 2020

However, there is a secret I am keeping to the end of the blog, which makes the decision even easier for the user: so easy in fact, you do not even have to decide yourself. Written in C++, which is very CPU efficient, with a very fast query planner and metadata caching, Impala is optimized for low latency queries.

Data Warehouse 71

Data Warehouse SQL Engineering Metadata 71

Knowledge Hut

OCTOBER 8, 2023

An enterprise stores data in a variety of formats, files, texts, databases, etc. To carry out such duties, it’s imperative to understand database management and software engineering. It’s very useful in your career as it helps to optimize processes quickly. Knowing this helps you create data dashboards.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

JANUARY 20, 2021

This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples).

Manufacturing 108

Manufacturing Data Warehouse Kafka Retail 108

Maxime Beauchemin

JANUARY 20, 2017

Areas like crafting and maintaining portfolios of reports and dashboards are not a data engineer’s primary focus. The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. when is the experiment taking effect?

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Rockset

AUGUST 13, 2019

In a world where everyone is becoming an analyst , live dashboards surface up-to-date insights and operationalize real-time data to provide in-time decision-making support across multiple areas of an organization. If you are interested in crafting your own custom dashboard, read about Custom Live Dashboards on DynamoDB instead.

BI 40

BI NoSQL PostgreSQL AWS 40

Databand.ai

DECEMBER 13, 2022

Deepak regularly shares blog content and similar advice on LinkedIn. She also runs dutchengineer.org, which features a blog and newsletter full of tips for landing your dream job in data science, and offers digital courses and one-on-one mentoring for data scientists and data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Rockset

AUGUST 12, 2019

The real-time journey typically starts with live dashboards on real-time data and soon moves to automating actions on that data with applications like instant personalization, gaming leaderboards and smart IoT systems. Real-time analytics is used by many organizations to support mission-critical decisions on real-time data.

NoSQL 40

NoSQL AWS SQL Datasets 40

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Scalability and Performance: Hadoop's distributed architecture allows for scalability and parallel processing.

Hadoop 52

Hadoop Project Datasets Big Data 52

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

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. A lenient trace data sampling policy generates a large number of traces in each service container and can lead to degraded performance of streaming services as more CPU, memory, and network resources are consumed by the tracer library.

Building 93

Building Transportation Metadata Java 93

Knowledge Hut

SEPTEMBER 6, 2023

Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data. Machine Learning : Understanding machine learning ideas and techniques is essential for developing prediction models and performing sophisticated data analysis.

Big Data 52

Big Data Certification Hadoop Scala 52

Big Data Tools

JUNE 8, 2022

In this release, there are some improvements to the dashboard, as well as several bug fixes. Bookkeeper’s team presents it as a “fault-tolerant and low-latency storage service optimized for append-only workloads”, so if you need to store something in a distributed manner, you may not need a traditional database.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

In this release, there are some improvements to the dashboard, as well as several bug fixes. Bookkeeper’s team presents it as a “fault-tolerant and low-latency storage service optimized for append-only workloads”, so if you need to store something in a distributed manner, you may not need a traditional database.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

FEBRUARY 15, 2023

Read this blog on data analyst vs business analyst to uncover the mystery of both rolesand the differences that set them apart. This blog presents a detailed comparison of data analyst vs. business analyst, their key responsibilities, and salary outlook. Did you know the global big data analytics market is likely to grow from $271.83

Business Analyst 52

Business Analyst Data Mining Big Data Data 52

DataKitchen

NOVEMBER 4, 2021

The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets.

Process 98

Process Data Process Pharmaceutical Data Lake 98

DataKitchen

JUNE 19, 2023

The key to success is the capability to understand and monitor the health, status, and performance of your data, data tools, pipeline, and infrastructure, both at a macro and micro level. Our customers start looking at the data in dashboards and models and then find many issues. Was it on time?

Data 52

Data Data Validation Utilities High Quality Data 52

Rockset

MARCH 19, 2020

Namely, it is not a database, it is not transactional, it is not mutable, its query language KSQL is not fully SQL-compliant, and it is not trivial to setup and maintain. Now that we’ve settled that, let’s consider a few common use cases for Kafka and see where stream processing or a real-time database may work.

Kafka 40

Kafka Database Process SQL 40

dbt Developer Hub

AUGUST 23, 2022

The fact that the keys here are small integers, the database can a) not worry about storage costs for this data b) index this field easily, making joins quick and efficient. This can cause adverse performance during table builds. Performance - Hashed keys generally result in long string-type values. with cte_name as (. ).

Datasets 52

Datasets Metadata SQL Data Warehouse 52

Rockset

FEBRUARY 7, 2020

Uses include detecting patterns and anomalies in driving behavior, understanding traffic conditions, routing vehicles optimally, and recognizing opportunities for preventive maintenance. Rockset - We use a real-time database to store data from Kafka and act as an analytics backend to serve fast queries and live dashboards.

Kafka 40

Kafka Transportation Data SQL 40