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 112

SQL Data Lake Java Scala 112

Rockset

MARCH 3, 2022

Today Rockset is announcing an early access program for Oracle and Microsoft SQL Server integrations. This data has material financial value when it’s both fresh and easy to access, however, customers commonly face scalability challenges running both transactional and analytical applications on the same database.

Amazon Web Services 52

Amazon Web Services Data Warehouse SQL AWS 52

Knowledge Hut

MARCH 29, 2024

An Azure cheat sheet is a simplified reference set that provides instant access to commands, essential information, and advice for using Microsoft Azure, a cloud computing platform. Portability and Accessibility: Since cheat sheets are usually light and compact, accessing them whenever and wherever required is simple.

Cloud Computing 52

Cloud Computing SQL Database Accessible 52

Knowledge Hut

DECEMBER 26, 2023

Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. The Microsoft BI platform features are real-time reporting, predictive analytics, and AI diagnostics. What is Business Intelligence (BI)?

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Rockset

MARCH 10, 2022

This is the first post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. Successful data-driven companies like Uber, Facebook and Amazon rely on real-time analytics.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 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. For instance, customer personalization systems need to combine historic data sets with real-time data streams to instantly provide the most relevant product recommendations to customers.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Cloudera

AUGUST 13, 2021

The ability to manage how the data flows and transforms during the first mile of the data pipeline and control the data distribution can accelerate the performance of all analytic applications. What is the impact on the business?

Data Pipeline 109

Data Pipeline Data Lake ETL Tools Unstructured Data 109

Striim

NOVEMBER 8, 2023

It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics. Data mesh technology also employs event-driven architectures and APIs to facilitate the exchange of data between different systems.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

OCTOBER 26, 2023

A core enabler of the speed of ML development with BlueML is the flexibility of the underlying database system. With Rockset’s Converged Indexing technology , data is indexed in a search index, columnar store, ANN index and row store for millisecond-latency analytics across a wide range of query patterns.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

Knowledge Hut

MAY 31, 2023

If you're interested in developing the Internet of Things (IoT), you'll need to have access to a range of tools. These might include hardware like development boards and shields, as well as software tools for creating programs that can run on IoT systems. libraries, and other programming languages to create connected devices.

Programming Language 52

Programming Language Electronics Java Programming 52

Rockset

FEBRUARY 18, 2021

Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. Rockset was 9.4x

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Rockset

JANUARY 30, 2024

In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. This is a game changer in disaggregated, real-time architectures.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Striim

AUGUST 31, 2023

Two different systems are required for creating a kappa architecture: one for streaming data and another for batch processing. By eliminating manual processes such as ETL (extract-transform-load) systems, companies can save time and money while still leveraging advanced technologies like machine learning and artificial intelligence (AI).

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Cloudera

JUNE 16, 2022

Reduce ingest latency and complexity: Multiple point solutions were needed to move data from different data sources to downstream systems. The batch nature of these tools increased the overall latency of the analytics. Faster ingestion was needed to reduce overall analytics latency. .

Kafka 86

Kafka Manufacturing Data Lake SQL 86

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

Rockset

JUNE 21, 2022

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. All you need to do is provide Rockset with your Snowflake credentials and configure AWS IAM policy to ensure proper access.

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Rockset

AUGUST 11, 2020

Facebook’s ‘magic’, then, was powered by the ability to process large amounts of information on a new system called Hadoop and the ability to do batch-analytics on it. The recommendation models improved engagement when the models had access to more recent actions of its users. Then things started to become more real-time.

Hadoop 52

Hadoop Datasets Banking Analytics Application 52

Precisely

MARCH 10, 2023

Variations among street names, spellings, abbreviations, numbering systems, and formatting options make it especially challenging to arrive at a common nomenclature. This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade.

Datasets 57

Datasets Data Warehouse Big Data Cloud Storage 57

Towards Data Science

APRIL 26, 2023

Whether you work in BI, Data Science or ML all that matters is the final application and how fast you can see it working end-to-end. Imagine, as a practical example, that we need to build a new customer-facing analytics application for our product team. A lightinign fast analytics app built with our system.

Engineering 67

Engineering Data Lake AWS BI 67

Snowflake

MAY 4, 2023

Our philosophy is to take the output of our transactional systems and engineer that data in near real time onto the Data Cloud, where it automatically becomes part of a data ecosystem that has analytical depth and dimensional breadth. In the end, we want all of DTCC’s data securely accessible to our internal and external stakeholders.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 52

phData: Data Engineering

MAY 11, 2023

The next-generation Matillion Designer SaaS offering balances accessibility with a very minor learning curve on Git. For Matillion ETL, the Git integration requires a stronger understanding of the workflows and systems to effectively manage a larger team. A financial system provides targets and sales figures on a monthly basis.

Coding 52

Coding Software Engineer Software Engineering Government 52

Towards Data Science

APRIL 3, 2023

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. While this might feel far-fetched at first, due to the sheer size of the data, it often helps to step back and think about the intention of the application (what does it do?)

Process 84

Process Data Lake Systems Bytes 84

U-Next

AUGUST 11, 2022

Bi tools include applications and SaaS services that gather and analyze data from multiple sources to provide information that helps businesses make choices. They Are Always Available to You, 365 Days a Year: Because the information is kept in the clouds, you always have access to that information. Advantages of Using BI Tools.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

Knowledge Hut

MARCH 15, 2024

You will acquire the skills necessary to combine, process, and organize data from different structured and unstructured data sources into frameworks appropriate for constructing analytics applications that make use of Microsoft Azure data services. This comprises virtual networks, network security groups, load balancers, etc.

Cloud Computing 52

Cloud Computing Algorithm Certification SQL 52

Rockset

MARCH 15, 2021

When working with a real-time analytics system you need your database to meet very specific requirements. You want this pipeline to take as little time as possible, because stale data doesn’t provide any value in a real-time analytics system. Logically then, latency has to be as low as possible for real-time analytics.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

AltexSoft

SEPTEMBER 23, 2021

Because it is scattered across disparate systems, hardly available for analytical apps. A data hub serves as a single point of access for all data consumers, whether it be an application, a data scientist, or a business user. The larger the company, the more data it has to generate actionable insights.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Cloudera

NOVEMBER 2, 2020

On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system. An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. Spark Streaming.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. The broad adoption of Apache Kafka has helped make these event streams more accessible. No rebalancing is needed as Rockset’s compute nodes access data from its shared storage.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

U-Next

AUGUST 26, 2022

R is available as an open language of programming for statistical computing and data analytics, and R often has a command-line API. R is accessible on popular operating systems, including Pc, Linux, and macintosh. These strategies can be tested on other computer systems for improved outcomes.

R (Programming) 52

R (Programming) Programming Language Algorithm Programming 52

Rockset

MAY 3, 2023

This is the benefit of databases that were designed with streaming in mind, they can efficiently process incoming events as they come into the system rather than go into slow batch processing modes. 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

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. Introduction. Conclusion .

Government 92

Government Hadoop Data Security Data Warehouse 92

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

DECEMBER 9, 2021

Long gone are the days when employees would use old school ERP systems to reorder supplies. No, these days all of the coffee beans, cups, and pastries are tracked and reordered constantly through a fully automated system harvesting sales from the cash registers as soon as they are rung up. Destination: Data Apps and Microservices.

Transportation 52

Transportation BI SQL Data Warehouse 52

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. process data in real time and run streaming analytics. Practically, nothing.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

APRIL 2, 2019

In memory mode, done with a simple BIOS change, the operating system simply sees the memory as a large pool of volatile memory similar to DRAM. Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. memory mode, and 2. app direct mode.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

ProjectPro

JANUARY 31, 2023

RDBMS is a part of system software used to create and manage databases based on the relational model. FSCK stands for File System Check, used by HDFS. FSCK generates a summary report that covers the file system's overall health. Reliability: The entire system does not collapse if a single node or a few systems fail.

Big Data 52

Big Data Hadoop AWS Relational Database 52