Cloudera

FEBRUARY 8, 2021

Model accuracy is enabled by more accurate data collection and more accurate labeling and annotation, while the data reduction was achieved with a relevant selection of data for training and the ability to process and encode connected vehicle sensor data. . This author is passionate about industry 4.0,

Manufacturing 106

Manufacturing Machine Learning Data Ingestion Electronics 106

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

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

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. Then you can test the new model versus the base model to see if it performs the way you want it to.

Generalist 75

Generalist Data Ingestion SQL Technology 75

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

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

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Building 93

Building Transportation Metadata Java 93

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 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

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 80

Data Warehouse Database-centric Metadata Cloud 80

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 53

Manufacturing Data Ingestion Architecture Data Governance 53

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

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. Contents: What is the role of an Azure Data Engineer? Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. Now there are a few ways to ingest data into Snowflake.

Data Lake 78

Data Lake Data Ingestion Bytes Cloud Computing 78

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

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 63

Cloud Building Utilities Architecture 63

Cloudera

AUGUST 27, 2021

The company stood out to the judges for taking its business to the next level by disrupting the telecommunication’s industry through the application of new technologies, skills, and operational processes. The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics.

Telecommunication 83

Telecommunication Transportation Big Data Data Ingestion 83

Cloudera

AUGUST 9, 2022

The first, ISO 27031:2011, helps describe the process and procedures involved in incident response. This includes the Plan, Do, Check, and Act life cycle that help build an incident-response process. Cloudera continues to improve upon both product and process to make disaster recovery easier to implement.

Data Lake 75

Data Lake Data Warehouse Architecture Data Ingestion 75

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. The company collects the data, builds complex ETLs, and does high-volume processing.

Healthcare 52

Healthcare Scala Medical Transportation 52

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 82

Engineering Raw Data Data Science Scala 82

LinkedIn Engineering

JULY 27, 2023

However, the ease of these processes can lead to over-provisioning and under-utilization of cloud resources, resulting in increased operating expenses. In this blog post, we will share our progress, challenges, and lessons learned from our Costwiz journey. ETL processes must determine where to pick up the next batch of data.

Metadata 75

Metadata Utilities Cloud Data Lake 75

U-Next

JUNE 29, 2022

Data must be consumed from many sources, translated and stored, and then processed before being presented understandably. However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. Data ingestion can be divided into two categories: . Consumption .

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

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 AWS Relational Database 52

Rockset

JUNE 6, 2023

Real-time systems such as Elasticsearch were designed to work off of directly attached storage to allow for fast access in the face of real-time updates. In this blog, we’ll walk through how Rockset provides compute-storage separation while making real-time data available to queries.

Metadata 52

Metadata Datasets Architecture Algorithm 52

Cloudera

JANUARY 22, 2019

Big Data Fabric offers a comprehensive approach to overcoming the challenges of rapidly growing data, ever-changing application requirements and distributed processing needs. Data processing and persistence. Data orchestration. Data discovery. Data management and intelligence. Data access.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

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

Rockset

DECEMBER 19, 2023

This blog post distills his decade of experience into a comprehensive read, offering a detailed overview of the complexities and innovations at every stage of building a real-world recommender system. The process of ranking the candidates is further developed into three distinct steps: Feature Extraction, Scoring, and Ranking.

Systems 52

Systems Machine Learning Deep Learning Media 52

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

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Key Big Data characteristics. Velocity is the speed at which the data is generated and processed.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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 94

Media Database Metadata Data Schemas 94

ProjectPro

NOVEMBER 22, 2021

You'll need to transfer the data back to Pandas DataFrame after processing it in PySpark so that you can use it in Machine Learning apps or other Python programs. Broadcast variables in PySpark are read-only shared variables that are stored and accessible on all nodes in a cluster so that processes may access or use them.

Hadoop 52

Hadoop Python Datasets Metadata 52

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

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

phData: Data Engineering

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. Throughout this journey, we’ve helped hundreds of clients achieve eye-opening results by moving to the Modern Data Stack.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52