Data Engineering Weekly

FEBRUARY 19, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The blog mostly focuses on how it optimizes the batch pipeline using Airflow and BigQuery.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Christophe Blefari

JANUARY 7, 2023

This year I deeply learned Superset—adding the tools to my tools expertise list. The blog crossed the 2000 members mark (❤️) and I won the best data science newsletter award. On the last 3 days I was teaching DataOps at a French school and I did not manage to find the time to write to you. Happy reading.

Data Science 130

Data Science Data BI Kafka 130

Knowledge Hut

SEPTEMBER 6, 2023

It prepares you to solve real world problems. It would be a combination of technical and analytical skills. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Consequently, we see a huge demand for big data professionals. What is Big Data Certification?

Big Data 52

Big Data Certification Hadoop Scala 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework.

Machine Learning 106

Machine Learning Python Kafka Java 106

Data Engineering Weekly

MARCH 26, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real time with your own JavaScript or Python code. Last year around this time, Bundling vs. Unbundling was the talk of the town. Here are the top 5 key learnings from the report.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Knowledge Hut

JANUARY 22, 2024

Online vs. In-Person Delivery The choice between online and in-person delivery for data science courses depends on your learning preferences and situational factors. Here is an overview of the key pros and cons: Online Courses Offer significant flexibility - you can access course materials at any time from anywhere at your own pace.

Data Science 52

Data Science Certification Education Data Lake 52

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. COD helps you achieve scale for your applications by taking advantage of COD’s auto-scaling features.

Database 85

Database Machine Learning Data Lake Kafka 85

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

OCTOBER 13, 2020

CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. With CDP-PC just a bit over a year old, we thought now would be a good time to reflect how far we have come since then. That Was Then.

Cloud 95

Cloud Data Warehouse AWS Machine Learning 95

Knowledge Hut

JUNE 30, 2023

It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer. What is Data Engineering? Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

SEPTEMBER 28, 2020

The customer had a few primary reasons for the upgrade: Utilize existing hardware resources and avoid the expensive resources, time and cost of adding new hardware for migrations. . Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. Cluster management and replication support for Kafka clusters.

Cloud 131

Cloud Kafka Professional Services Metadata 131

dbt Developer Hub

AUGUST 2, 2023

I was a kitten-only household, and dbt Labs was still Fishtown Analytics. A enterprise customer I was working with, Jetblue, asked me for help running their dbt models every 2 minutes to meet a 5 minute SLA. At release, python models will not be supported. They are a tool in your analytics engineering toolbox, one of many.

Datasets 52

Datasets Kafka SQL Cloud 52

Rockset

MARCH 10, 2022

This is the first post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Real-time analytics is not.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Databand.ai

DECEMBER 13, 2022

Whether you’re a data engineering pro looking to stay up to date on the latest trends or new to the space and want to learn more, following the right leaders and joining the right conversations can make all the difference when it comes to plugging into the data engineering community. You’ve come to the right place.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. The answer is- by earning professional data engineering certifications! Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Engineering involves designing and building data pipelines that extract, analyze, and convert data into a valuable and meaningful format for predictive and prescriptive modeling.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

Data Process 40

Data Process Process Building Machine Learning 40

Knowledge Hut

JANUARY 16, 2024

Embarking on a journey in the highly demanded field of Machine Learning (ML) opens doors to diverse career opportunities. The avenues to acquire the essential skills for a career in ML are plentiful, ranging from Machine Learning online courses and certifications to formal degree programs. What Is Machine Learning?

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Monte Carlo

JULY 7, 2022

At the time, he was one of a very few people using the term “data contract.” They codify data needs in a data contract and schemas from consumers up front, and then deliver the data pre-modeled into the data warehouse. Time will be the judge. Editor’s Note : We ran into Andrew at our London IMPACT event in early 2022.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. Data Modeling using multiple algorithms. What is the need for Data Science? What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. Diving into Big Data Analytics has really been an eye-opener for me. Get to know more about measures of dispersion through our blogs. What Are Big Data Frameworks?

Data Process 52

Data Process Process Hadoop Scala 52

Snowflake

MARCH 2, 2023

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

Kafka 121

Kafka Data Ingestion Data Pipeline Cloud Storage 121

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. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®.

Kafka 109

Kafka Designing Architecture ETL Tools 109

Rockset

MARCH 27, 2023

This is part two in Rockset’s Making Sense of Real-Time Analytics on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks.

Database 52

Database Process Scala SQL 52

ProjectPro

JANUARY 25, 2022

Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. PySpark Applications-How are Businesses leveraging PySpark? How long does it take to learn PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

Data Engineering Weekly

NOVEMBER 13, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Innovation happens at the intersection of applying learning from one domain to another.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. Process Analytics.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data).

Data Warehouse 95

Data Warehouse Kafka Lambda Architecture Telecommunication 95

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Data Engineering Weekly

JANUARY 29, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. The highlight for me is the debugging tool “loggertail.”

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

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. Rockset achieved up to 4x higher throughput and 2.5x

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Rockset

MAY 8, 2023

The recent and astronomical improvements in accuracy and accessibility of large language models (LLMs) including BERT and OpenAI have made companies rethink how to build relevant search and analytics experiences. The time and the position of a point in the space is determined by the values of these features.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. ML workflow, ubr.to/3EJHjvm

Engineering 80

Engineering Raw Data Data Science Scala 80

Data Engineering Weekly

DECEMBER 4, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. It's time we treat our data like API. Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52