Cloudera

MAY 30, 2024

As data volumes grow and analytical needs evolve, organizations can seamlessly scale their infrastructure horizontally to accommodate increased data ingestion, processing, and storage demands. Learn more about the Cloudera Open Data Lakehouse here.

Data Lake 74

Data Lake Data Warehouse Programming Language Data Ingestion 74

Cloudera

AUGUST 27, 2021

The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics. With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. .

Telecommunication 85

Telecommunication Transportation Big Data Data Ingestion 85

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 107

Kafka Data Ingestion Architecture Datasets 107

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Cloudyard

MAY 7, 2024

Read Time: 1 Minute, 39 Second Many organizations leverage Snowflake stages for temporary data storage. However, with ongoing data ingestion and processing, it’s easy to lose track of stages containing old, potentially unnecessary data. This can lead to wasted storage costs.

Data Ingestion 52

Data Ingestion Data Storage Utilities Coding 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. The data read queries took an increasingly longer time to finish because ElasticSearch clusters were using heavy compute resources for creating indexes on ingested traces. —?which is difficult when troubleshooting distributed systems.

Building 95

Building Transportation Java Metadata 95

Cloudera

AUGUST 9, 2022

For example, we are integrating architecture diagrams for active/passive, geographically dispersed disaster recovery cluster pairs like the following diagram, showing a common application zone and for data ingestion and analytics, and how replication moves through the system. Cloudera Data Platform. CDP Knowledge Hub.

Data Lake 78

Data Lake Data Warehouse Architecture Professional Services 78

Snowflake

AUGUST 8, 2023

In addition to simply consuming LLMs, our customers are also interested in fine-tuning pretrained LLMs, including models available with the NVIDIA NeMo framework and Meta’s Llama models , with their own corporate and Snowflake data.

Generalist 98

Generalist Data Ingestion SQL Technology 98

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Confluent

JULY 3, 2019

From a data perspective, the World Cup represents an interesting source of information. The idea in this blog post is to mix information coming from two distinct channels: the RSS feeds of sport-related newspapers and Twitter feeds of the FIFA Women’s World Cup. Data sources. Ingesting Twitter data.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Cloudera

APRIL 26, 2023

Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. At its core, CDP Private Cloud Data Services (“the platform”) is an end-to-end cloud native platform that provides a private open data lakehouse.

Cloud 64

Cloud Building Utilities Architecture 64

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

Cloudera

MAY 9, 2019

It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance. Data infrastructure readiness – IoT architectures can be insanely complex and sophisticated. Get your free Expo Pass to IoT World and join us. See you there!

Manufacturing 56

Manufacturing Data Ingestion Architecture Data Governance 56

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Databand.ai

JUNE 28, 2023

Data observability works with your data pipeline by providing insights into how your data flows and is processed from start to end. Here is a more detailed explanation of how data observability works within the data pipeline: Data ingestion : Observability begins from the point where data is ingested into the pipeline.

Data Pipeline 98

Data Pipeline Data Engineer Data Engineering Engineering 98

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. The data objects are accessible only through SQL query operations run using Snowflake.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Data Engineering Weekly

NOVEMBER 13, 2022

link] Meta: Tulip - Schematizing Meta’s data platform Numerous heterogeneous services make up a data platform, such as warehouse data storage and various real-time systems. The schematization of data plays a vital role in a data platform. The author shares the experience of one such transition.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Monte Carlo

JUNE 2, 2024

Managing cloud-based data services, cost optimization, and scaling are key responsibilities, and these trends are likely to grow along with the future of data governance. Data Pipeline Tools: Familiarity with tools such as Apache Kafka (mentioned in 71% of job postings) and Apache Spark (66%) is vital.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Managing cloud-based data services, cost optimization, and scaling are key responsibilities, and these trends are likely to grow along with the future of data governance. Data Pipeline Tools: Familiarity with tools such as Apache Kafka (mentioned in 71% of job postings) and Apache Spark (66%) is vital.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

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. Analytics: Both data warehousing and big data platforms enable analytical capabilities.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 97

Media Database Metadata Data Schemas 97

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data NoSQL Hadoop Data Lake 44

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Big Data analytics processes and tools. Data ingestion.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. In this blog, you will learn what is AWS SageMaker, its Key features, and some of the most common actual use cases! Table of Content What is Amazon SageMaker?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Knowledge Hut

APRIL 25, 2023

It is widely used by data engineers for building scalable and reliable data processing systems. Hadoop provides tools for data storage, processing, and analysis, including Hadoop Distributed File System (HDFS) and MapReduce. It can add more processing power and storage as the data grows.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

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 Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Snowflake

MAY 22, 2023

By combining the power of the Snowflake Data Cloud with the ease of use of Django, developers can build sophisticated web applications that deliver powerful insights to end users. Read our announcement blog post for more. Offering data quality analysis based on solid math, CodeLine makes stats, predictions, and anomaly detection.

Healthcare 52

Healthcare Scala Medical Transportation 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop Relational Database AWS 52

U-Next

JUNE 29, 2022

However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. In this blog, we’ll go over elements of big data , the big data environment as a whole, big data infrastructures, and some valuable tools for getting it all done.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Rockset

NOVEMBER 12, 2020

Elasticsearch is one tool to which reads can be offloaded, and, because both MongoDB and Elasticsearch are NoSQL in nature and offer similar document structure and data types, Elasticsearch can be a popular choice for this purpose. This blog post will examine the various tools that can be used to sync data between MongoDB and Elasticsearch.

MongoDB 40

MongoDB NoSQL Data Pipeline Data Storage 40

LinkedIn Engineering

JULY 27, 2023

Costwiz provides a unified experience that helps leaders drive more accurate forecasting of Azure budgets at LinkedIn with resource ownership detection, accountability, expedited remedies, and holistic data visibility (via custom dashboards).

Metadata 75

Metadata Utilities Cloud Database 75

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 Engineer Data Engineering Engineering 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 Engineer Data Engineering Engineering 52

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Sync Computing

NOVEMBER 7, 2024

A brief history of data storage The value of data has been apparent for as long as people have been writing things down. 100 zettabytes is 10 14 gigabytes, or 10 to 100 times more than the estimated number of stars in the Local Group of galaxies, which includes our Milky Way.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52