Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP data lifecycle integration and SDX security and governance. Easy job deployment.

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Xebia

NOVEMBER 11, 2022

This blog explores the various sessions throughout those 3 days but specifically focuses on the Cloud Data Platform workshop on Friday the 28th. . GoDataFest features a multitude of sessions focused on various data technologies and platforms. What is the Google Cloud Data Platform Workshop? What is GoDataFest?

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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. Data pipelines are composed of multiple steps with dependencies and triggers.

Data Engineering 115

Data Engineering Technical Review Software Review Engineering 115

TechCrunch

NOVEMBER 11, 2020

Fishtown Analytics , the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge. million Series A round in April. Image Credits: Fishtown.

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Dzone - DevOps

NOVEMBER 7, 2023

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models.

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Data Engineering Engineering Machine Learning Artificial Inteligence 76

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Using COPY and SNOWPIPE is the fastest and cheapest way to load data. Especially important is the ability to reload and reprocess the data in the event of an error.

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Data Engineering Engineering Data Storage 69

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.

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Trigent

JUNE 20, 2022

Businesses worldwide are realizing the importance of the considerable volume of data they possess and the need to extract value from it and incorporate it into enhancing Customer Experience or simplifying operational processes for improved results. This is where data engineering services providers come into play.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

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).

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CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

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TechCrunch

APRIL 6, 2022

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. Rather, it was the ability to scale the productivity of the people who work with data.

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CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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Dzone - DevOps

MAY 31, 2023

In this detailed and personal account, the author shared his journey of building and evolving data pipelines in the rapidly transforming streaming media industry. In the last two decades, data engineering has dramatically transformed industries.

Data Engineering 52

Data Engineering Media Industry Engineering 52

CIO

APRIL 10, 2024

Inferencing crunches millions or even billions of data points, requiring a lot of computational horsepower. 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. Inferencing and… Sherlock Holmes???

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Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

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. Systems, an IT consulting firm focused on data analytics. mixes of on-premises and public cloud infrastructure).

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CIO

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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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. Big data is at the heart of how a lot of applications, and a lot of business overall, works these days.

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Analytics Data Big Data Business Intelligence 218

TechCrunch

NOVEMBER 18, 2021

In the early 2000s, most business-critical software was hosted on privately run data centers. But with time, enterprises overcame their skepticism and moved critical applications to the cloud. Similar to cloud-native startups, many startups today are ML native and offer differentiated products to their customers.

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DevOps.com

JANUARY 27, 2023

Data streams are all the rage. Once a niche element of data engineering, streaming data is the new normal—more than 80% of Fortune 100 companies have adopted Apache Kafka, the most common streaming platform, and every major cloud provider (AWS, Google Cloud Platform and Microsoft Azure) has launched its own streaming service.

Data 123

Data Google Cloud Azure AWS 123

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. Until now, the setup of such pipelines still required knowledge of Airflow and the associated python configurations.

Data Engineering 114

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TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In

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Enterprise Data Business Intelligence Analytics 184

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. CDE is already available in CDP Public Cloud (AWS & Azure) and will soon be available in CDP Private Cloud Experiences. Try out Cloudera Data Engineering today!

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Data Engineering Engineering Data Software Review 61

TechCrunch

DECEMBER 9, 2020

that was building what it dubbed an “operating system” for data warehouses, has been quietly acquired by Google’s Google Cloud division. Dataform scores $2M to build an ‘operating system’ for data warehouses. Joining Google Cloud should enable the team to continue that mission.

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Google Cloud Data Operating System Business Intelligence 242

TechCrunch

MAY 31, 2022

Following its $135 million Series D last week, Monte Carlo became the latest unicorn in a fast-rising category: data observability, which the startup defines as “an end-to-end approach to enable teams to deliver more reliable and trustworthy data.” On the other, data observability startups themselves are hiring.

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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.

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SCRUM Azure AWS Agile 344

CTOvision

JANUARY 13, 2021

SingleStore unveiled native support for AWS Glue, expanding its cloud data integration. This enables developers, data engineers, and data scientists to build with SingleStore on Amazon Web Services (AWS) more […].

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AWS Cloud Data Data Engineering 99

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. What are some examples of data solutions in each of those buckets?

Data 246

Data Architecture Government Strategy 246

Dzone - DevOps

JULY 12, 2023

Maybe you’ve noticed the world has dumped the internet, mobile, social, cloud, and even crypto in favor of an obsession with generative AI. And how will it impact data? But is there more to generative AI than a fancy demo on Twitter?

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TechCrunch

NOVEMBER 3, 2021

The early stage startup has built a customer data platform (CDP) from the ground up with a focus on data privacy. Mandar Shinde says that companies need access to the full breadth of customer data to both understand them better and to comply with a growing number of privacy laws. Company founder and CEO ??Mandar

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Data Compliance Authentication Data Engineering 224

O'Reilly Media - Ideas

APRIL 11, 2019

The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future. 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.

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Serverless Data Engineering Engineering Data 76

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.

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Enterprise Cloud Data Machine Learning 87

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

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Kentik

FEBRUARY 27, 2023

It means seeing trends and patterns from a macro level, but it also means getting very granular to pursue any line of analysis of your data. Still, it will be useless if it takes forever to do anything meaningful with that data. So how can we faster process the data in such a massive database?

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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. If you don’t have that, you can’t move very quickly.”.

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TechCrunch

FEBRUARY 7, 2022

Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities. Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246