Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

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. 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.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

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.

Retail 72

Retail Healthcare Data Ingestion Consulting 72

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

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

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. However, the CBA is a huge institution with 15 million customers and 700M daily transactions — managing the growing influx of data was challenging. .

Transportation 107

Transportation Telecommunication Banking Data Lake 107

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

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

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 . Cloudera Shared Data Experience (SDX) .

Database 81

Database Machine Learning Data Lake Kafka 81

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

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What is Streaming Analytics?

Hospitality 92

Hospitality Kafka Retail Data Ingestion 92

DareData

JULY 5, 2023

In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 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.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Government 110

Government Building Cloud Data Ingestion 110

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

Cloudera

JUNE 7, 2021

CDF streamlines the process of collecting, curating and analyzing real-time streaming data with its integrated set of components. It calls out that Cloudera DataFlow “ includes streaming flow and streaming data processing unified with Cloudera Data Platform ”.

Kafka 101

Kafka Data Ingestion Architecture Cloud 101

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

MARCH 24, 2023

We’ll explore their definitions, purposes, and methods so you can ensure both data integrity and data validity in your organization. What is Data Integrity? Data integrity is the process of maintaining the consistency, accuracy, and trustworthiness of data throughout its lifecycle, including storage, retrieval, and usage.

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 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

Cloudera

NOVEMBER 17, 2020

Once you have deployed the template and all the CML artifacts that go with it, you can unpick and work it backward to map the process to your own data in your own environment. . The data and the techniques presented in this prototype are still applicable as creating a PCA feature store is often part of the machine learning process. .

Deep Learning 110

Deep Learning Machine Learning Raw Data Data Ingestion 110

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 107

Machine Learning Python Kafka Java 107

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. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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

RandomTrees

SEPTEMBER 6, 2020

This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics. The data objects are accessible only through SQL query operations run using Snowflake. Query Processing: Query processing in Snowflake is done using virtual warehouses.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 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

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

Databand.ai

JUNE 28, 2023

It goes beyond basic monitoring to provide a deeper understanding of how data is moving and being transformed in a pipeline, and is often associated with metrics, logging, and tracing data pipelines. Data pipelines often involve a series of stages where data is collected, transformed, and stored.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Cloudera

FEBRUARY 16, 2022

SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Cloudera

DECEMBER 4, 2020

With it taking up to three days to process data, Rush developers were inhibited from supporting medical staff in the way they both wanted and needed to. 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

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

Rockset

JULY 28, 2022

While this sounds simple, the details get tricky, particularly if you need to support updates to your data. And you have now introduced another process that has to run, be monitored, scale etc. Adding text indexes to a collection in MongoDB will naturally add an overhead on every insertion due to the indexing process.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Let’s take a look: 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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

MAY 28, 2019

Particularly with continuing rapid evolution of open source and commercially available algorithms or even pre-trained models, the importance of slashing time spent on data gathering and pre-processing only grows. And once a model has been trained, tuned and optimized, data scientists want to put it to work for the business ASAP.

Data Science 48

Data Science Transportation Machine Learning Algorithm 48

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