TechCrunch

JUNE 22, 2022

CloudQuery CEO and co-founder Yevgeny Pats helped launch the startup because he needed a tool to give him visibility into his cloud infrastructure resources, and he couldn’t find one on the open market. He built his own SQL-based tool to help understand exactly what resources he was using, based on data engineering best practices.

Infrastructure 206

Infrastructure Cloud Open Source Data Engineering 206

TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. “We are on a mission to radically improve the analytics landscape by making enterprise-scale data transformations as efficient and flexible as possible.”

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. A new capability called Ranger Authorization Service (RAZ) provides fine grained authorization on cloud storage.

Data Engineering 123

Data Engineering Technical Review Software Review Engineering 123

TechCrunch

FEBRUARY 7, 2022

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology. Brands across industries are using cloud-native location data with other downstream cloud services.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

CIO

DECEMBER 14, 2023

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Artificial Inteligence 174

Artificial Inteligence Analysis Data Cloud 174

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

TechCrunch

AUGUST 16, 2022

After a pandemic-driven cloud adoption boom in the enterprise, costs are finally coming under a microscope. M ore than a third of businesses report having cloud budget overruns of up to 40%, according to a recent poll by observability software vendor Pepperdata.

Resources 175

Resources Cloud Engineering AWS 175

Cloudera

SEPTEMBER 17, 2020

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. CDP data lifecycle integration and SDX security and governance.

Data Engineering 105

Data Engineering Engineering Data Tools 105

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. with Spark 3.0 without any code changes.

Enterprise 98

Enterprise Cloud Data Machine Learning 98

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Feast instead reuses existing cloud or on-premises hardware, spinning up new resources when needed.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

CIO

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Artificial Inteligence 193

Artificial Inteligence Architecture Data Development Team Review 193

TechCrunch

NOVEMBER 4, 2022

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. Here’s where MLOps is accelerating enterprise AI adoption. More posts by this contributor.

Data 218

Data Storage Analytics Data Engineering 218

TechCrunch

AUGUST 4, 2022

Most BI tools are thin applications with no data engine of their own, and only as fast as the database they sit atop. Rill, on the other hand, is a thick application that comes with its own embedded in-memory OLAP engine ( DuckDB in Rill Developer, and Apache Druid in Rill Cloud).

Open Source 246

Open Source Metrics Enterprise Business Intelligence 246

CIO

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.

Architecture 147

Architecture Data Fractional CTO Technical Review 147

CIO

NOVEMBER 14, 2024

Recently, we sponsored a study with IDC* that surveyed teams of data scientists, data engineers, developers, and IT professionals working on AI projects across enterprises worldwide. To tackle this challenge, we are focused on simplifying and unifying data storage to support better data access.

Enterprise 124

Enterprise Survey Storage Study 124

CIO

AUGUST 4, 2022

It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. MLOps to the rescue.

Artificial Intelligence 214

Artificial Intelligence Artificial Inteligence DevOps Data Engineering 214

CIO

OCTOBER 9, 2024

The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

TechCrunch

OCTOBER 12, 2021

Airbyte , the well-funded open source data integration startup, always made it easy for data teams to set up their ELT (extract, load and transform) pipelines, but until now, that meant self-hosting and managing the service, with all the complications that come with that.

Open Source 212

Open Source Virtualization Data Engineering Enterprise 212

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Cloud 103

Cloud Machine Learning Artificial Inteligence Data Engineering 103

CIO

JUNE 11, 2024

With a shortage of IT workers with AI skills looming, Amazon Web Services (AWS) is offering two new certifications to help enterprises building AI applications on its platform to find the necessary talent. Earlier this year, the company had added the AWS Certified Data Engineer – Associate certification.

Artificial Inteligence 173

Artificial Inteligence AWS Artificial Intelligence Machine Learning 173

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. fixed sized clusters).

Data Engineering 90

Data Engineering Performance Engineering Data 90

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. The opportunity that Firebolt is targeting is a ripe one in the world of enterprise. billion valuation.

Analytics 218

Analytics Data Big Data Business Intelligence 218

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 89

Data Engineering Engineering Data Serverless 89

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9 million seed funding round led by La Famiglia VC.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

TechCrunch

APRIL 25, 2022

But they’re an essential part of the AI systems that enterprises — and consumers, for that matter — use every day. But at the enterprise scale, where data science teams are responsible for maintaining dozens to thousands of systems, a place to manage and track features becomes a necessity.

Artificial Inteligence 225

Artificial Inteligence Machine Learning Data Engineering Enterprise 225

TechCrunch

APRIL 12, 2022

That’s when Union’s team saw an opportunity to layer paid services on top of the project in the cloud. “A managed version of Flyte, called Union Cloud, will allow smaller teams and organizations to use the power of Flyte without the need to staff up on infrastructure teams,” Umare continued. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. The post Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering appeared first on Cloudera Blog.

Data Engineering 123

Data Engineering Engineering Data Virtualization 123

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. 1 Inferencing on-premises with Dell Technologies can be 75% more cost-effective than public clouds, Enterprise Strategy Group, April 2024.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

TechCrunch

AUGUST 8, 2022

The pandemic prompted countless companies to migrate to the cloud. By 2025, driven partly by the need for digital services, 85% of enterprises will have a cloud-first principle, according to Gartner. mixes of on-premises and public cloud infrastructure). But the transition isn’t always easy.

Company 191

Company Data Google Cloud Cloud 191

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management. Or so they all claim.

Cloud 111

Cloud Data Compliance Analytics 111

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Analytics 217

Analytics KPI IoT Azure 217

O'Reilly Media - Ideas

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%).

Enterprise 144

Enterprise Survey Weak Development Team Education 144

CIO

OCTOBER 20, 2023

It’s a vendor-specific certification that will benefit anyone who is tasked with working directly with AWS products and services or looking to make good on the high demand for cloud skills today. To earn your CompTIA A+ certification you’ll have to pass two separate exams.

SCRUM 206

SCRUM Azure AWS Agile 206

O'Reilly Media - Ideas

APRIL 11, 2019

In this episode of the Data Show , I spoke with Avner Braverman , co-founder and CEO of Binaris , a startup that aims to bring serverless to web-scale and enterprise applications. Continue reading What data scientists and data engineers can do with current generation serverless technologies.

Serverless 79

Serverless Data Engineering Engineering Data 79

CIO

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. Instead of launching a competing offering in a rush, the company is quietly preparing a three-tier approach.

Generative AI 170

Generative AI Artificial Inteligence Strategy Google Cloud 170