Data Engineering Weekly

OCTOBER 30, 2022

I found the blog helpful in understanding the generative model’s historical development and the path forward. link] Sponsored- [New eBook] The Ultimate Data Observability Platform Evaluation Guide Considering investing in a data quality solution? The author explains how to dump the history of blockchains into S3.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Data Engineering Weekly

MARCH 5, 2023

The basics of the best practices are to establish Meta’s Ground Truth Maturity Framework [GTMF] [link] Google: Datasets at your fingertips in Google Search Easy access to the datasets is 80% of the problem solved in data engineering. link] The blog highlights six key principles of the value creation of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

ProjectPro

FEBRUARY 6, 2023

Data engineers often use Google Cloud Pub/Sub to design asynchronous workflows, publish event notifications, and stream data from several processes or devices. This blog provides an overview of Google Cloud Pub/Sub that will help you understand the framework and its suitable use cases for your data engineering projects.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Cloudera

DECEMBER 14, 2021

So to improve the speed of data analysis, the IRS worked with the combined technology integrating Cloudera Data Platform (CDP) and NVIDIA’s RAPIDS Accelerator for Apache Spark 3.0. The Roads and Transport Authority (RTA) operating in Dubai wanted to apply big data capabilities to transportation and enhance travel efficiency.

Transportation 106

Transportation Telecommunication Banking Data Lake 106

Databand.ai

JULY 17, 2023

An enterprise looking to streamline its entire end-to-end analytics lifecycle may implement a comprehensive solution incorporating best practices from each approach—starting with robust data ingestion (DataOps) through optimized model training and deployment (MLOps).

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data BI 52

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Conclusion.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

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.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

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. Integrated across the Enterprise Data Lifecycle . Conclusion.

Database 81

Database Machine Learning Data Lake Kafka 81

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. Amazon Redshift Amazon Redshift is a completely managed data warehousing service that enables organizations to analyze large datasets with standard SQL queries. What is AWS? Conclusion AWS has released over two hundred production-level services.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

LinkedIn Engineering

DECEMBER 12, 2023

We say that an algorithm is differentially private if any result of the algorithm cannot depend too much on any single data record in a dataset. Hence, differential privacy provides uncertainty for whether or not an individual data record is in the dataset.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Cloudera

NOVEMBER 17, 2020

Once the prototype has been completely deployed, you will have an application that is able to make predictions to classify transactions as fraudulent or not: The data for this is the widely used credit card fraud dataset. Data analysis – create a plan to build the model.

Deep Learning 109

Deep Learning Machine Learning Raw Data Data Ingestion 109

Rockset

JANUARY 26, 2023

The goal of this blog post is to provide best practices on how to use terraform to configure Rockset to ingest the data into two collections, and how to setup a view and query lambdas that are used in an application, plus to show the workflow of later updating the query lambdas.

AWS 52

AWS SQL Datasets Kafka 52

Monte Carlo

MARCH 24, 2023

We often refer to these issues as data freshness or stale data. For example: The source system could provide corrupt data or rows with excessive NULLs. A poorly coded data pipeline could introduce an error during the data ingestion phase as the data is being clean or normalized. What Is Data Validity?

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

Rockset

DECEMBER 27, 2022

In this blog, we walk through solutions to common Elasticsearch performance challenges at scale including slow indexing, search speed, shard and index sizing, and multi-tenancy. Rockset is one of the alternatives and is purpose-built for real-time streaming data ingestion and low latency queries at scale.

Data Ingestion 52

Data Ingestion NoSQL Datasets Utilities 52

phData: Data Engineering

SEPTEMBER 19, 2023

By employing robust data modeling techniques, businesses can unlock the true value of their data lake and transform it into a strategic asset. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Python Kafka Java 106

DareData

JULY 5, 2023

In this blog post, we aim to share practical insights and techniques based on our real-world experience in developing data lake infrastructures for our clients - let's start! Typically, it is advisable to retain the data in its original, unaltered format when transferring it from any source to the data lake layer.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

RandomTrees

SEPTEMBER 6, 2020

The data ingestion cycle usually comes with a few challenges like high data ingestion cost, longer wait time before analytics is performed, varying standard for data ingestion, quality assurance and business analysis of data not being sustained, impact of change bearing heavy cost and slow execution.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Rockset

MAY 17, 2022

This is the fourth 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! Instant scaleup of data writes or queries to handle bursts of data.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Cloudera

OCTOBER 22, 2020

Replication ( covered in this previous blog article ) has been released for a while and is among the most used features of Apache HBase. Although it is an efficient way of keeping different HBase databases in sync within a sub-second latency, replication only operates over data ingested after the feature has been enabled.

Bytes 60

Bytes Datasets Data Data Ingestion 60

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. AvroTensorDataset speeds up data preprocessing by multiple orders of magnitude, enabling us to keep site content as fresh as possible for our members. avro", "part-00001.avro"], Default is zero.

Datasets 102

Datasets Bytes Process Data Ingestion 102

ProjectPro

JANUARY 19, 2022

Source: Image uploaded by Tawfik Borgi on (researchgate.net) So, what is the first step towards leveraging data? The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. —?which is difficult when troubleshooting distributed systems.

Building 93

Building Transportation Metadata Java 93

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

JULY 18, 2018

Turn-key enterprise data integration (EDI) accepting both batch and real-time integrations for a variety of data sources and achieving data ingestion for EHR, omics, medical images, claims, drug data, vast sources of Real World Data (RWD), and social determinants of health (SDOH) data.

Machine Learning 50

Machine Learning Healthcare Medical Electronics 50

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. A pipeline may include filtering, normalizing, and data consolidation to provide desired data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

ProjectPro

FEBRUARY 16, 2023

From monitoring and searching through big data to generating alerts, reports, and visualizations, Splunk offers several such features to help businesses achieve their goals. This clearly shows how crucial it is for data engineers to be familiar with the Splunk platform if they want to succeed in the big data industry.

Big Data 52

Big Data Big Data Tools Cloud Data 52

Rockset

JULY 19, 2021

However, using Druid can be problematic when used outside its normal parameters — for example, to work with nested data. In this article, we’ll discuss ingesting and using nested data in Apache Druid. Druid doesn’t store nested data in the form often found in, say, a JSON dataset.

Programming Language 40

Programming Language Data Ingestion Data Database 40

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Cloudera

SEPTEMBER 17, 2018

Here are some highlights: Data Ingest. Most data is ingested through data engineering pipelines. Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags!

Data Warehouse 52

Data Warehouse SQL Portfolio MySQL 52

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Security teams can also reduce their costs by loading certain datasets in batches instead of continuously.

Data Lake 78

Data Lake Data Ingestion Bytes Cloud Computing 78

Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

Pinterest Engineering

SEPTEMBER 12, 2023

transformers) became standardized, ML engineers started to show a growing appetite to iterate on datasets. While such dataset iterations can yield significant gains, we observed that only a handful of such experiments were conducted and productionized in the last six months. As model architecture building blocks (e.g.

Data Process 87

Data Process Process Datasets Scala 87

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset. Introduction.

Machine Learning 136

Machine Learning Datasets Data Science Raw Data 136

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. ® , 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). Joining with other datasets.

Kafka 20

Kafka BI SQL Datasets 20