ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications? Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Design Detail.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. Let’s call this stream S.

Kafka 40

Kafka Database Process SQL 40

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Cloudera

NOVEMBER 7, 2023

This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications. Bucket Layouts in Apache Ozone Interoperability between FS and S3 API Users can store their data in Apache Ozone and can access the data with multiple protocols.

Systems 100

Systems Hadoop Unstructured Data Media 100

Rockset

OCTOBER 26, 2023

That’s why JetBlue innovates with real-time analytics and AI, using over 15 machine learning applications in production today for dynamic pricing, customer personalization, alerting applications, chatbots and more. As a result, teams can productionize new features and models with minimal engineering lift.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

Rockset

DECEMBER 9, 2019

As a data engineer, my time is spent either moving data from one place to another, or preparing it for exposure to either reporting tools or front end users. Rockset is a real time analytics engine that allows SQL queries directly on raw data, such as nested JSON and XML.

Data Engineering 40

Data Engineering Data Engineer Raw Data Engineering 40

Cloudera

AUGUST 13, 2021

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. What is the impact on the business? Learn more about Cloudera Edge and Flow Management.

Data Pipeline 108

Data Pipeline Data Lake ETL Tools Unstructured Data 108

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Systems 86

Systems Hadoop Metadata Telecommunication 86

Cloudera

NOVEMBER 2, 2020

Optimized access to both full fidelity raw data and aggregations. Optimized access to both current data and historical data. Time Series and Event Analytics Specialized RTDW. Adding Stream Analytics and Stream Processing. cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g.

Data Warehouse 91

Data Warehouse Kafka Lambda Architecture Telecommunication 91

Rockset

MARCH 15, 2021

While there’s typically some amount of data engineering required here, there are ways to minimize it. For example, instead of denormalizing the data, you could use a query engine that supports joins. The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e.,

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

phData: Data Engineering

MAY 11, 2023

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. In a budding Analytics Engineering environment, speed to insight is more highly valued.

Coding 52

Coding Software Engineer Software Engineering Government 52

Rockset

MAY 3, 2023

In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. In this blog, we’ll walk through the benchmark framework, configuration and results. Rockset achieved up to 4x higher throughput and 2.5x

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Cloudera

MARCH 6, 2018

This leads to extra cost, effort, and risk to stitch together a sub-optimal platform for multi-disciplinary, cloud-based analytics applications. Because metadata is always associated with your data, you can open up self-service access to more diverse users and apps without those apps becoming data silos in cloud.

Cloud 40

Cloud Metadata Big Data AWS 40

Rockset

FEBRUARY 25, 2021

Often this lack of structure forces developers to spend a lot of their time engineering ETL and data pipelines so that analysts can access the complex datasets. Joins, in particular, are rarely well supported by alternative real-time analytics solutions. Part 3: Real-Time Ingestion and Indexing

SQL 40

SQL Data Pipeline Kafka Database 40

Cloudera

APRIL 2, 2019

Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. GCP Machine Learning Products Google Machine Learning Engine: It is the machine learning offering at scale from Google. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Cloudera

NOVEMBER 13, 2017

Cloud PaaS takes this a step further and allows users to focus directly on building data pipelines, training machine learning models, developing analytics applications — all the value creation efforts, vs the infrastructure operations. The net result is much improved productivity for data engineers, data scientists, and analysts.

Cloud 40

Cloud Big Data Metadata Machine Learning 40

Cloudera

DECEMBER 7, 2017

Now we are releasing the reference architecture for you build your own self-managed SDX foundation for all your cloud-based data and analytics applications. Cloud data that can efficiently drive all your machine learning and analytics initiatives. It’s time for a new approach to analytics in the cloud. It’s time for SDX.

Building 40

Building Management Government BI 40

Cloudera

MAY 16, 2018

Not moving data mitigates data loss, ensuring data integrity and if the platform security of the data lake is inherited, then the data will only be viewed by those with proper access. Our partnership extends beyond certification into joint engineering and solution development such as the joint cybersecurity solution based on Apache Spot.

Data Lake 41

Data Lake Electronics Media Unstructured Data 41

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Another security measure is an audit log to track access. Multi-language environment.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. The Hadoop MapReduce architecture has a Distributed Cache feature that allows applications to cache files.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MAY 23, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Walmart was the world’s largest retailer in 2014 in terms of revenue. ”- said Arun Prasath, Principal Engineer at WalmartLabs. We want to know who every person in the world is.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines?

Kafka 84

Kafka Manufacturing Data Lake SQL 84

ProjectPro

MAY 31, 2021

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. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database.

Big Data 52

Big Data Coding Project Hadoop 52

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Just imagine the overhead and confusion for an application developer when accessing the latest version of a record. This ensures that queries access the latest, correct version of data.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. The post Using SQL to democratize streaming data appeared first on Cloudera Blog.

SQL 111

SQL Data Lake Java Scala 111

phData: Data Engineering

JULY 18, 2023

Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. Common Advantages of a Modern Data Stack Infrastructure is Managed in the Cloud: No longer does your organization need a squad of engineers to manage the on-premise system.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. That level of automation and simplicity enables data practitioners to stand up analytical environments in a self-service manner (i.e., CRM platforms). Conclusion

Government 89

Government Hadoop Data Security Data Warehouse 89