The Crazy Programmer

SEPTEMBER 11, 2021

MongoDB and is the open-source server product, which is used for document-oriented storage. Their initial development was mainly focused on building Platform as a Service, soon MongoDB came out as the open-source server that was very well- maintained by the organization. The new name was MongoDB Inc. MongoDB Inc.

Open Source 273

Open Source Storage Azure Journal 273

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

TechCrunch

NOVEMBER 3, 2020

Box launched in 2005 as a consumer storage product before deciding to take on content management in the enterprise in 2008. That idea quickly failed when professors testing it found that inviting students to open their laptops to test their sentiment just led them to start playing Solitaire or checking Facebook.

Marketing 285

Marketing Open Source Analytics Video 285

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

Cloudera

SEPTEMBER 7, 2022

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers.

Open Source 112

Open Source Innovation Industry Big Data 112

TechCrunch

MAY 17, 2022

“The industry at large is upon the next wave of technical hurdles for analytics based on how organizations want to derive value from data. Now, the challenge organizations are trying to solve are large scale analytics applications enabling interactive data experiences. Imply’s Apache Druid-powered query view.

Technical Review 249

Technical Review Analytics Cloud Enterprise 249

Honeycomb

NOVEMBER 19, 2024

You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more. DuckDB is now available in the open-source realm. Observability 1.0

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

Datavail

APRIL 12, 2021

MariaDB is a flexible, modern relational database that’s open source and is capable of turning data into structured information. It supports many types of workloads in a single database platform and offers pluggable storage architecture for flexibility and optimization purposes. MariaDB’s default storage engine is InnoDB.

Storage 98

Storage Engineering Open Source Business Intelligence 98

TechCrunch

APRIL 3, 2023

The duo have built a distributed team of 10 across Asia and Eastern Europe as they gear up to expand beyond the product’s current source available (i.e. not-quite open source) incarnation and into a fully monetizable product.

Open Source 211

Open Source Data Development Banking 211

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Open source solutions reduce risk.

Analytics 111

Analytics Open Source Government Artificial Inteligence 111

InfoWorld

MARCH 8, 2024

LinkedIn has decided to open source its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications. To read this article in full, please click here

Open Source 72

Open Source Tools Data Engineering Storage 72

OverOps

JUNE 21, 2018

To ensure that this data isn’t lost and can be used effectively, they should be consolidated and centralized to a single storage location. Open source. Elastic (formerly ELK – ElasticSearch, Logstash, Kibana) is an open source project made up of many different tools for application data analysis and visualization.

Tools 221

Tools Open Source Weak Development Team How To 221

AWS Machine Learning - AI

OCTOBER 29, 2024

In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations. Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

Generative AI 98

Generative AI Video Engineering Artificial Inteligence 98

TechCrunch

OCTOBER 18, 2022

In the stream processing paradigm, app logic, analytics and queries exist continuously, and data flows through them continuously. Wu makes that case that only companies with deep pockets and data analytics expertise can adopt existing stream processing solutions, due to the complexity and high cost of ownership.

Cloud 207

Cloud Data Systems Review AWS 207

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. It will give users more detailed notifications around workflows, with root cause analysis, and it will also give engineers, whether or not they are data science specialists, more tools to run analytics on their data sets.

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 66

Open Source Analytics Software Review Metrics 66

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

TechCrunch

APRIL 12, 2022

Union.ai , a startup emerging from stealth with a commercial version of the open source AI orchestration platform Flyte, today announced that it raised $10 million in a round contributed by NEA and “select” angel investors. We need to bridge both these worlds in a structured and repeatable way.”

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

O'Reilly Media - Ideas

APRIL 1, 2025

Like the rest of the OLMo family, its completely open: source code, training data, evals, intermediate checkpoints, and training recipes. to modify files directly; for example, it can make changes directly in source code rather than suggesting changes. Its open source. The text editor tool allows Claude 3.5

Trends 97

Trends Open Source Software Review Malware 97

O'Reilly Media - Data

AUGUST 16, 2018

Storage engine interfaces. Several products offer solutions to process streaming data, both proprietary and open source: Amazon Web Services, Azure, and innumerable tools contributed to the Apache Foundation, including Kafka, Pulsar, Storm, Spark, and Samza. Storage engine interfaces. Benchmarks. Security and governance.

Big Data 193

Big Data Data Storage Azure 193

CIO

OCTOBER 15, 2024

And open-source Apache Iceberg has won. I do think the acquisition has been a bit of a distraction, but that’s probably true anytime that kind of money starts moving around,” David Nalley, director of open-source strategy and marketing at Amazon Web Services, told me. The data lakehouse battle is over.

Data 176

Data Open Source AWS Software Review 176

CIO

FEBRUARY 12, 2024

Prepare the data through anonymizing, labeling and normalizing across data sources and create guardrails for governance, quality, integrity and security. Right-sizing models is also important, as larger models require more servers, storage and energy. High-quality data will be the oil that makes your models hum.

Generative AI 205

Generative AI Survey Open Source Strategy 205

TechCrunch

JANUARY 4, 2023

To this end, SurrealDB supports real-time queries, security permissions for multi-user access and “performant” analytical workloads, Tobie says. Client-side apps can be built with direct connections to SurrealDB, while traditional, server-side dev setups can leverage the platform’s querying and analytics abilities.

Open Source 194

Open Source Cloud Serverless Analytics 194

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 96

Analytics Network Innovation IoT 96

The Crazy Programmer

SEPTEMBER 27, 2021

It is a very stable database that has been developed by the open-source community for over 20 years. Many web apps, as well as mobile and analytics applications, use it as their primary database. era of open source development, including: Controlling Concurrency in Multiple Versions. PostgreSQL 6.

Applications 147

Applications Open Source PHP Windows 147

Altexsoft

APRIL 16, 2021

used for analytical purposes to understand how our business is running. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. What is OLAP: Online Analytical Processing. This could be a transactional database or any other storage we take data from. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

The Citus Data

OCTOBER 28, 2020

Specifically, the amount of data in our customer’s analytic store was growing faster than the compute required to process that data. AWS Redshift was not able to offer independent scaling of storage and compute—hence our customer was paying extra cost by being forced to scale up the Redshift nodes to account for growing data volumes.

Analytics 98

Analytics Azure Storage Architecture 98

The Crazy Programmer

SEPTEMBER 25, 2023

is a highly popular JavaScript open-source server environment used by many developers across the world. is a most loved and well-known open-source server environment. Get 1 GB of free storage. Right from its commencement in 2009, the server has grown in huge popularity and is used by a lot of businesses.

Serverless 180

Serverless AWS Google Cloud Azure 180

The Citus Data

MARCH 5, 2021

Development on Citus first started around a decade ago and once a year we release a major new Citus open source version. Citus 10 extends Postgres (12 and 13) with many new superpowers: Columnar storage for Postgres : Compress your PostgreSQL and Citus tables to reduce storage cost and speed up your analytical queries.

Open Source 145

Open Source Storage Azure Applications 145

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding. Additional integrations with services like Amazon Data Firehose , AWS Glue , and Amazon Athena allowed for historical reporting, user activity analytics, and sentiment trends over time through Amazon QuickSight.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Xebia

JANUARY 22, 2025

A columnar storage format like parquet or DuckDB internal format would be more efficient to store this dataset. This is the result of the timings: Engine File format Timings first row Timings last row Timings analytical query Spark CSV 31 ms 9 s 18 s DuckDB CSV 7.5 And is a cost saver for cloud storage. parquet # 1.2G

Analytics 130

Analytics Storage Engineering Comparison 130

Dzone - DevOps

FEBRUARY 9, 2023

Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. Trino was designed to handle data warehousing, ETL, and interactive analytics by large amounts of data and producing reports.

Open Source 97

Open Source Google Cloud Storage Analytics 97

Datavail

NOVEMBER 6, 2023

In this blog post, we will explore the relationship between the open-source Apache Cassandra project and DataStax, a company that offers an enterprise version of Cassandra, along with the different options available in both ecosystems. These features are essential for organizations that require stringent security measures.

Open Source 58

Open Source Scalability Analytics Database Administration 58

TechCrunch

JANUARY 25, 2022

” Wilab: Data analytics for 5G networks, meant to help predict energy/bandwidth needs and shorten outages. Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication.

Company 219

Company Software Review Systems Review Technical Review 219

The Crazy Programmer

DECEMBER 13, 2020

Data Warehousing is the method of designing and utilizing a data storage system. A data warehouse is developed by combining several heterogeneous information sources, enabling analytical reporting, organized or ad hoc inquiries, and decision-making. Cloud Storage. Optical Storage Technology. Data Warehousing.

Engineering 270

Engineering Wireless 3D Programming 270

TechCrunch

DECEMBER 1, 2020

On top of that, today there are a wide range of applications and platforms that a typical organization will use to manage source material, storage, usage and so on. That means when there are glitches in any one data source, it can be a challenge to identify where and what the issue can be.

Tools 214

Tools Data Weak Development Team Big Data 214