Striim

NOVEMBER 8, 2023

Data Mesh is a revolutionary event streaming architecture that helps organizations quickly and easily integrate real-time data, stream analytics, and more. It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

MAY 17, 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! The tradeoff of these first-generation SQL-based big data systems was that they boosted data processing throughput at the expense of higher query latency. As a result, the use cases remained firmly in batch mode.

SQL 52

SQL NoSQL Hadoop MongoDB 52

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? Columnar Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

U-Next

SEPTEMBER 21, 2022

And while employing it is a fairly new technology, it already has a wide range of applications. This blog will look at the best contemporary applications of Artificial Intelligence in business. . Applications of AI in Business Operations . AI for Applications in Marketing and E-Commerce . Conclusion .

Insurance 40

Insurance Finance Transportation Machine Learning 40

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

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Your SQL skills as a data engineer are crucial for data modeling and analytics tasks.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

FEBRUARY 11, 2021

Implement statistical analysis and machine learning into highly available and high performance production level systems to provide ease of access to users. Automate feature engineering , model training, and evaluation process. Enrich machine learning frameworks and libraries. Handling exceptions.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 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? “It’s not a “butt in seat” culture.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

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. Rockset provides the speed and scale required of ML applications accessed daily by over 2,000 employees at JetBlue.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

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. It’s too costly to move the data to another application. What is the impact on the business?

Data Pipeline 108

Data Pipeline Data Lake ETL Tools Unstructured Data 108

Cloudera

SEPTEMBER 15, 2022

Retail, where big data is used across all stages of the retail process—from product development, pricing, demand forecasting, and for inventory optimization in the stores. 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

Rockset

MARCH 15, 2021

This will avoid unnecessary processing during data ingestion and reduce the storage bloat due to redundant data. The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. These include stream processing/analytics, batch processing, tiered storage (i.e. Time Series and Event Analytics Specialized RTDW.

Data Warehouse 91

Data Warehouse Kafka Lambda Architecture Telecommunication 91

Rockset

MAY 3, 2023

Throughput measures the rate at which data is processed, impacting the database's ability to efficiently support high-velocity data streams. In this blog, we’ll walk through the benchmark framework, configuration and results. Storage and compute are also colocated in the same nodes for faster data access and improved query performance.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Rockset

DECEMBER 9, 2019

The raw data is consistently added to the staging area and then picked up and processed by downstream processes. Rockset is a real time analytics engine that allows SQL queries directly on raw data, such as nested JSON and XML. This simplifies the process and in turn makes it more flexible to change later on.

Data Engineering 40

Data Engineering Data Engineer Raw Data Engineering 40

phData: Data Engineering

MAY 11, 2023

The next-generation Matillion Designer SaaS offering balances accessibility with a very minor learning curve on Git. ZDLC is a time-honored practice among data professionals who have grown their careers with the productivity tools available to most business users, such as Microsoft Excel and Access. When Is ZDLC Better Than SDLC?

Coding 52

Coding Software Engineer Software Engineering Government 52

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. This takes a lot of time and is often a slow process that doesn’t work well for anybody. Instead, this data is often semi-structured in JSON or arrays.

SQL 40

SQL Data Pipeline Kafka Database 40

Cloudera

NOVEMBER 8, 2022

It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises. These could be traditional analytics applications like Spark, Impala, or Hive, or custom applications that access a cloud object store natively. Conclusion.

Metadata 80

Metadata Algorithm Hadoop Cloud 80

Cloudera

APRIL 2, 2019

Available to customers running 2nd Generation Intel® Xeon® Scalable processors, Intel Optane DC persistent memory can significantly enhance the performance of real-time and streaming applications. Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

Cloudera

MAY 16, 2018

This post describes how native visual analytics on a Cloudera Enterprise Data Hub is the keystone that supports a holistic trade surveillance program. Market spikes and fake news help to spot trickery but to prove deception by correlating one with the other cannot happen if surveillance processes are fragmented. Conclusion.

Data Lake 41

Data Lake Electronics Media Unstructured Data 41

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. Table of Contents AWS vs. GCP - The Cloud Battle AWS vs. Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

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. This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

NOVEMBER 9, 2018

Armed with those personal data, cybercrooks could use them to illegally access a victim’s bank account or create a composite of the individual to commit offline crimes such as burglary, extortion, or fraud. Drive real-time processing and analytics to IoT data – both in motion and at rest.

Machine Learning 56

Machine Learning Banking Government Media 56

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. The big data ecosystem at Walmart processes multiple Terabytes of new data and petabytes of historical data every day. How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

OCTOBER 12, 2020

We are thrilled to announce that Cloudera has acquired Eventador , a provider of cloud-native services for enterprise-grade stream processing. Eventador simplifies the process by allowing users to use SQL to query streams of real-time data without implementing complex code. Stay tuned for more product updates coming soon!

Cloud 131

Cloud Process Scala Kafka 131

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Faster data ingestion: streaming ingestion 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. Understand the Business Goals The first step of any good big data analytics project is understanding the business or industry that you are working on.

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! The Challenge of Out-of-Order Data Streaming data has been around since the early 1990s under many names — event streaming, event processing, event stream processing (ESP), etc.

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. Contrast that with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL).

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. 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.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms). As a result, alternative data integration technologies (e.g.,

Government 89

Government Hadoop Data Security Data Warehouse 89