Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Read the announcement blog for more details and get started guides. Learn more here.

Retail 72

Retail Healthcare Data Ingestion Consulting 72

Snowflake

SEPTEMBER 13, 2023

Snowpark External Access – public preview External Access is in public preview on AWS regions. Users can now easily connect to external network locations, including external LLMs, from their Snowpark code while maintaining high security and governance over their data. Snowpark Python Updates Snowpark support for Python 3.9

Python 77

Python SQL Data Pipeline Data Ingestion 77

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

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

Database 101

Database Java Data Ingestion SQL 101

Databand.ai

AUGUST 30, 2023

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . For this, the RTA transformed its data ingestion and management processes. .

Transportation 107

Transportation Telecommunication Banking Data Lake 107

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a global, cloud-based messaging framework that has become increasingly popular among data engineers over recent years.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Data Engineering Weekly

OCTOBER 30, 2022

Luis Velasco: Data Contracts - The Mesh Glue I'm excited about the Schemata & Data contract because it perfectly stitches catalogs, data quality, and glossary. The current state of these systems is inherently passive systems. The author explains how to dump the history of blockchains into S3.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Cloudera

APRIL 20, 2021

Yet, the information will always delay if they leverage an analytics system built for the past. It can access data from inside the business, like ERP and asset management, outside sources, like edge devices and external assets, and correlate them for real-time predictive maintenance. appeared first on Cloudera Blog.

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Hospitality Kafka Retail Data Ingestion 92

Monte Carlo

MARCH 24, 2023

Besides the zoo example, some other examples of data integrity include ensuring that data is not accidentally or maliciously altered, preventing unauthorized access to sensitive information, and maintaining the consistency of data across multiple databases or systems. How Do You Maintain Data Integrity?

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. Security : AWS promotes security and compliance, providing comprehensive security features and controls to protect data and applications. These include encryption, identity and access management , network security, and compliance certifications.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Pinterest Engineering

AUGUST 18, 2022

The HBase Ecosystem, though having various advantages like strong consistency at row level in high volume requests, flexible schema, low latency access to data, Hadoop integration, etc. In this blog post, we will first learn the various approaches considered for data migration with their trade offs.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

phData: Data Engineering

SEPTEMBER 19, 2023

With many data modeling methodologies and processes available, choosing the right approach can be daunting. This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. Learn more about ML-Powered Functions in our blog or in Snowflake documentation.

Scala 52

Scala Transportation Kafka Data Lake 52

Monte Carlo

JUNE 22, 2023

They combined these principles with FAIR , a popular framework in the world of pharma that stands for findability, accessibility, interoperability, and reusability. When they started this journey, the data team did not want to leave modeling and architecture behind. So they agreed to leverage Data Vault 2.0

Building 52

Building Data Ingestion Data Business Analyst 52

Cloudera

NOVEMBER 17, 2020

Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important. Data analysis – create a plan to build the model.

Deep Learning 110

Deep Learning Machine Learning Raw Data Data Ingestion 110

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! The Data Warehouse(s) facilitates data ingestion and enables easy access for end-users.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. The use case.

Process 81

Process Kafka SQL Machine Learning 81

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

Databand.ai

JUNE 28, 2023

“Observability” has become a bit of a buzzword so it’s probably best to define it: Data observability is the blanket term for monitoring and improving the health of data within applications and systems like data pipelines. Data observability vs. monitoring: what is the difference?

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Cloudera

DECEMBER 4, 2020

The Data for Good winner — Rush University Medical Center. Rush University System for Health is an academic health system with a mission to improve the. The Data Science & Knowledge Management team acted fast to fix this problem, building a data ingest pipeline with Cloudera DataFlow (CDF) in less than 2 weeks.

Medical 72

Medical Hospitality Electronics Healthcare 72

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. Implement data ingestion, processing, and analysis pipelines for large-scale data sets.

Data Engineering 52

Data Engineering Data Engineer Engineering 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. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

SEPTEMBER 28, 2020

Attribute-based access control and SparkSQL fine-grained access control. Lineage and chain of custody, advanced data discovery and business glossary. Store and access schemas across clusters and rebalance clusters with Cruise Control. Data Science and machine learning workloads using CDSW. Ranger 2.0.

Cloud 131

Cloud Kafka Professional Services Metadata 131

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!

SQL 52

SQL NoSQL Hadoop MongoDB 52

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? Although challenging, a career in data engineering can be rewarding.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

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. Create a file called _provider.tf

AWS 52

AWS SQL Datasets Kafka 52

Netflix Tech

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. We refer the reader to our previous blog article for details. We do that by excluding the following from all queries in our system.

Data Ingestion 105

Data Ingestion Management Algorithm Media 105

Rockset

JULY 28, 2022

Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka. MongoDB provides Kafka source and sink connectors that can be used to write the change events to a Kafka topic and then output those changes to another system such as a database or data lake.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Cloudera

AUGUST 31, 2021

Accenture’s Smart Data Transition Toolkit leverages six proprietary accelerators to reduce the cost of CDP migration by as much as forty percent (40%). Each of these accelerators support multiple legacy systems, including Teradata, Netezza, Oracle, etc. Ingested over 2,000 source system objects. Value Achieved.

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

Rockset

AUGUST 30, 2021

The majority are still draining streaming data into a data lake or a warehouse and are doing batch analytics. That’s because traditional OLTP systems and data warehouses are ill-equipped to power real-time analytics easily or efficiently. In example above, these base aggregate metrics are count(*) and sum(error_flag).

SQL 52

SQL Kafka MongoDB MySQL 52

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Data engineering tools can help data engineers streamline many of these tasks, allowing them to be more productive and effective in their work.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 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

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. Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Maxime Beauchemin

JANUARY 20, 2017

In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130