Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

DataKitchen

MAY 10, 2024

The First of Five Use Cases in Data Observability Data Evaluation: This involves evaluating and cleansing new datasets before being added to production. This process is critical as it ensures data quality from the onset. Examples include regular loading of CRM data and anomaly detection.

Data Cleanse 49

Data Cleanse Data Ingestion Data Datasets 49

Ascend.io

AUGUST 15, 2023

While terms like “Fivetran ETL” or “Fivetran data pipeline” are echoing in the corridors of data professionals, the truth is, Fivetran is primarily an expert on data ingestion — just the first step in a much broader and nuanced data management process.

Data Management 52

Data Management Management Data Ingestion Data Pipeline 52

Rockset

JANUARY 30, 2024

The memory optimized instance class is ideal for queries that process large datasets or have a large working set size due to the mix of queries. This is not a hands-free operation and also involves the transfer of data across nodes. Microbatching Rockset is known for its low-latency streaming data ingestion and indexing.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Towards Data Science

FEBRUARY 16, 2024

As we are pulling data with discrepancies together from different operational systems, the data ingestion process can be more time-consuming than originally thought! Including basic data cleaning and manual mapping as the first step can improve data consistency and alignment for more accurate results.

Food 64

Food Data Ingestion Python Data Science 64

Cloudera

AUGUST 26, 2021

In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store.

Data Science 109

Data Science Cloud Hadoop Metadata 109

Knowledge Hut

APRIL 23, 2024

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Learn more about the 4 Vs of big data with examples by going for the Big Data certification online course.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Data Engineering Weekly

MARCH 24, 2024

Moirai utilizes a large, diverse dataset and innovative techniques like any-variate attention and multiple patch-size projection layers to model complex, variable patterns. It addresses challenges across multiple domains and frequencies with zero-shot forecasting capabilities.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

FreshBI

SEPTEMBER 11, 2023

Power BI, Microsoft's cutting-edge business analytics solution, empowers users to visualize data and seamlessly distribute insights. However, the complex process of data preparation, modeling, and report creation can be time and resource consuming, especially when handling intricate datasets.

BI 59

BI Consulting Datasets Data Ingestion 59

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

Data Engineering Podcast

JULY 3, 2022

Random data doesn’t do it — and production data is not safe (or legal) for developers to use. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data? Random data doesn’t do it — and production data is not safe (or legal) for developers to use.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

ProjectPro

FEBRUARY 6, 2023

GCP Data Ingestion with SQL and Google Cloud Dataflow You will create a data ingestion and processing pipeline using real-time streaming and batch loading on the Google cloud platform in this GCP project. For this project, you will require the COVID-19 Cases.csv dataset from data.world.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Cloudyard

APRIL 4, 2024

Implementation: Implementation: We developed a Snowpark script to process customer transaction data stored in the Snowflake database. Data Ingestion: Reads customer transaction data from the “CUSTOMER_TRANSACTIONS” table in the Snowflake database. The script performs the following tasks: 1.Data

Retail 40

Retail Data Ingestion Metadata Datasets 40

Data Engineering Podcast

JUNE 26, 2022

Random data doesn’t do it — and production data is not safe (or legal) for developers to use. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data? Random data doesn’t do it — and production data is not safe (or legal) for developers to use.

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Weekly

OCTOBER 30, 2022

Access You Free Copy for Data Engineering Weekly Readers LinkedIn: Super Tables - The road to building reliable and discoverable data products The self-service is not free and brings challenges, as the LinkedIn data team narrates.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Ascend.io

JANUARY 23, 2023

The lineage of the datasets upstream and downstream of the Transform is guaranteed, and the execution is monitored by the Ascend platform for completion status and costs. Databricks MERGE performs simultaneous updates, insertions, and deletions from a Delta Lake table. Check out Databricks documentation on this cool capability!

Data Pipeline 52

Data Pipeline Data Ingestion Datasets Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Metadata layer The metadata layer manages and organizes the metadata associated with the data that’s been ingested and stored.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Metadata layer The metadata layer manages and organizes the metadata associated with the data that’s been ingested and stored.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 7, 2023

Dashboards, reports, spreadsheets, datasets, dataflows, and applications are some examples of these building components. Datasets: Datasets are the foundation of Power BI. You can import data into Power BI from a variety of sources, including databases, Excel files, cloud services, and more.

BI 52

BI Raw Data Datasets Business Intelligence 52

Precisely

MAY 13, 2024

A true enterprise-grade integration solution calls for source and target connectors that can accommodate: VSAM files COBOL copybooks open standards like JSON modern platforms like Amazon Web Services ( AWS ), Confluent , Databricks , or Snowflake Questions to ask each vendor: Which enterprise data sources and targets do you support?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Knowledge Hut

APRIL 23, 2024

A hospital’s performance depends largely on how patient data is handled, including accessing and retrieving it for various purposes. Yet, patient data handling was quite a problem earlier. Today, systems that can manage large datasets have eliminated many historical challenges.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 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

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 107

Transportation Telecommunication Banking Data Lake 107

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Knowledge Hut

JUNE 26, 2023

Since there are numerous ways to approach this task, it encourages originality in one's approach to data analysis. Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Source: Use Stack Overflow Data for Analytic Purposes 4.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Precisely

SEPTEMBER 11, 2023

” Solution: An automated data analysis tool can identify personally identifiable information (PII) within existing and new datasets and automatically apply security policies based on the findings. Problem: “We face challenges in manually classifying, cataloging, and organizing large volumes of data.”

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

AltexSoft

AUGUST 29, 2023

Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts. Data ingestion Data ingestion is the process of importing data into the data lake from various sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Conclusion.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Booking.com Engineering

DECEMBER 2, 2022

From data ingestion, data science, to our ad bidding[2], GCP is an accelerant in our development cycle, sometimes reducing time-to-market from months to weeks. Data Ingestion and Analytics at Scale Ingestion of performance data, whether generated by a search provider or internally, is a key input for our algorithms.

Systems 52

Systems Cloud MySQL Relational Database 52

Knowledge Hut

MARCH 19, 2024

Amazon Redshift Amazon Redshift is a completely managed data warehousing service that enables organizations to analyze large datasets with standard SQL queries. It provides high query performance and scalable storage for analytic load so that organizations can gain meaningful insights from their data.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 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

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 110

Deep Learning Machine Learning Raw Data Data Ingestion 110

Rockset

DECEMBER 27, 2022

Many organizations that use Elasticsearch for real-time analytics at scale will have to make tradeoffs to maintain performance or cost efficiency, including limiting query complexity and the data ingest latency.

Data Ingestion 52

Data Ingestion NoSQL Datasets Utilities 52

Rockset

MARCH 5, 2021

Rockset is not the best parking lot if you’re doing occasional queries on a PB-scale dataset. However for each query it needs to scan your data. To accelerate performance, query execution is split among multiple processors that scan large portions of your dataset in parallel.

Cloud Storage 52

Cloud Storage Data Ingestion Data Warehouse Computer Science 52

Rockset

JULY 29, 2022

After ingesting the data, BigQuery employs its built-in machine learning and visualization features to create dashboards for making important decisions. BigQuery aims to provide fast queries on massive datasets. However, the data via its streaming API insert isn’t available for two to three minutes.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

ProjectPro

FEBRUARY 25, 2022

Data Ingestion Data Processing Data Splitting Model Training Model Evaluation Model Deployment Monitoring Model Performance Machine Learning Pipeline Tools Machine Learning Pipeline Deployment on Different Platforms FAQs What tools exist for managing data science and machine learning pipelines?

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Databand.ai

JULY 17, 2023

For example, A company that relies heavily on machine learning but also requires efficient handling of large-scale structured datasets could combine aspects of both DataOps and MLOps strategies.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data BI 52