Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. Luke: Let’s talk about some of the fundamentals of modern data architecture.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Cloudera

MAY 30, 2024

This unified data environment eliminates the need for maintaining separate data silos and facilitates seamless access to data for AI and analytics applications.

Data Lake 74

Data Lake Data Warehouse Programming Language Data Ingestion 74

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 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Christophe Blefari

MARCH 24, 2023

Kestra vision is also very open, everything is accessible through APIs. Hex is a notebook-based analytics application. Cells are at the center of the analytics, they produce outputs than can be used later in other cells on in visualisation. Kestra is a YAML-based data pipeline tool mixed with string templating.

Lambda Architecture 130

Lambda Architecture Data Pipeline Data SQL 130

Christophe Blefari

JANUARY 7, 2023

Introducing ADBC: Database Access for Apache Arrow — When I see "minimal-overhead alternative to JDBC/ODBC for analytical applications" I'm instantly in. Why It’s So Hard to Become a Staff Engineer — A feedback to help people bringing the gap between senior and staff.

Data Science 130

Data Science Data BI Kafka 130

Cloudera

SEPTEMBER 15, 2022

Furthermore, data stored in Ozone can be accessed for various use cases via different protocols, eliminating the need for data duplication, which in turn reduces risk and optimizes resource utilization. Interoperability of the same data for several workloads: multi-protocol access. Diversity of workloads. Bucket types. release version.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

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. Analytics storage engine for huge volumes of fast arriving data. Mutability, random access, fast scans, interactive queries. Spark Streaming.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

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 Analytics Application 52

Snowflake

AUGUST 14, 2024

It streamlines the development of intuitive, self-serve analytics applications for business users, while providing industry-leading accuracy. Cortex Analyst, built using Meta’s Llama and Mistral models, is a fully managed service that provides a conversational interface to interact with structured data in Snowflake.

BI 52

BI Analytics Application Government SQL 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

Grouparoo

NOVEMBER 16, 2021

Loading is the process of warehousing the data in an accessible location. The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Finally, where access requires small subsets of the data, this reduces the transformation processing overhead.

Data Mining 52

Data Mining Raw Data ETL Tools Data 52

Cloudera

JUNE 16, 2022

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. Conclusion. As Laila so accurately put it, “without context, streaming data is useless.”

Kafka 88

Kafka Manufacturing Data Lake SQL 88

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. The infrastructure often gets in the way though.

Engineering 96

Engineering Data Lake AWS BI 96

Snowflake

AUGUST 9, 2023

The Seek Insight Cloud is a cloud-native platform that helps organizations discover insights at scale through turnkey analytics applications. Snowflake and Seek provide the agility to get seamless access to data and analytics, so businesses can get insights quickly. That access needs to be fast and seamless.

Retail 52

Retail Electronics Raw Data Manufacturing 52

ProjectPro

AUGUST 9, 2016

Cognizant’s BIGFrame solution uses Hadoop to simplify migration of data and analytics applications to provide mainframe like performance at an economical cost of ownership over data warehouses. According to Glassdoor, Hadoop Developer salaries at Cognizant Technology Solutions can range from $68,240-$98,446.As

Hadoop 52

Hadoop Insurance Cloud Computing Big Data 52

Cloudera

NOVEMBER 22, 2021

SDX , which is an integral part of CDP , delivers uniform data security and governance, coupled with data visualization capabilities enabling quick onboarding of data and data platform consumers and access to insights for all of CDP across hybrid clouds at no extra cost. benchmarking study conducted by independent 3rd party ). Conclusion .

Hadoop 94

Hadoop Government Data Security Cloud 94

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

OCTOBER 26, 2023

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. 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 Database 64

Rockset

AUGUST 11, 2020

The recommendation models improved engagement when the models had access to more recent actions of its users. No more batch analytics.this is analytics-on-the-fly! The challenge of building analytical applications on your most recent datasets is a tough challenge. Why is that?

Hadoop 52

Hadoop Banking Datasets Analytics Application 52

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 Analytics Application 40

Rockset

MARCH 10, 2022

Analytical queries could be accelerated by caching heavily-accessed read-only data in RAM or SSDs. RocksDB’s compaction algorithms also automatically merge old and updated data records to ensure that queries access the latest, correct version, as well as prevent data bloat that would hamper storage efficiency and query speeds.

Data Analytics 52

Data Analytics Data Warehouse MySQL Medical 52

Rockset

MARCH 31, 2022

On top of that, I had to make that data available to our custom-built application via a secure RESTful endpoint with a less than one second response time. By day three of my new job at Sounding Board, I was able to meet those requirements, build, and demonstrate a real-time, reporting and analytics application using Rockset and Retool.

MongoDB 52

MongoDB Data Architect SQL Data Schemas 52

Rockset

MAY 17, 2022

More application code not only takes more time to create, but it almost always results in slower queries. Something as common as an intermediate join table , which SQL can handle efficiently and elegantly, can become a bloated memory hog in other languages.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Precisely

MARCH 10, 2023

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. You need access to high-quality, accurate, and complete data. But you can only gain access to that information with accurate location data.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

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

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 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 72

Data Warehouse Cloud Kafka Cloud Storage 72

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 Accessibility 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

Knowledge Hut

DECEMBER 26, 2023

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You can discover your insights by posing and addressing your questions.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 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 98

Process Data Lake Systems Data Engineering 98

ProjectPro

SEPTEMBER 9, 2016

Based on the maturity with big data, HCL helps its clients identify use cases to experiment with big data, create data lakes and deploy hadoop data management platforms to develop analytic applications. As of 18 th August, 2016, Glassdoor listed 9 hadoop job openings in US alone.

Hadoop 40

Hadoop Data Lake Big Data Cloud Computing 40

U-Next

AUGUST 23, 2022

Ready data connections are accessible when Tableau is opened, allowing you to access any dataset. Users have access to the produced dashboards as a dynamic file, and the people that get the dashboards utilize Tableau Reader to examine the file. There are several applications for Tableau software. Tableau: Why Use It?

BI 52

BI Amazon Web Services Database Business Intelligence 52

Snowflake

MAY 4, 2023

In the end, we want all of DTCC’s data securely accessible to our internal and external stakeholders. Given our mature data landscape, the attractiveness of Snowflake Native Apps is that they allow us to leverage compute capabilities directly where the data already lives.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 52

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 48

NoSQL Google Cloud Hadoop Machine Learning 48