Sat.Aug 29, 2020 - Fri.Sep 04, 2020

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Where to start if you want to become a Data Engineer

Team Data Science

"Where can I start if I want to become a Data Engineer?" This is a question I have heard many times before. My answer to it is actually always the same: Start doing a Data Engineering project! Choose a tool Your first step here should be to select a tool. Then start with that tool and then build the whole thing up. So you get some data and then start with a tool.

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Creating a Serverless Environment for Testing Your Apache Kafka Applications

Confluent

If you are taking your first steps with Apache Kafka®, looking at a test environment for your client application, or building a Kafka demo, there are two “easy button” paths […].

Kafka 133
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Building A Better Data Warehouse For The Cloud At Firebolt

Data Engineering Podcast

Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage. Firebolt is taking that a step further with a core focus on speed and interactivity.

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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues. And Cloudera is at the heart of enabling these real-time data driven transformations. .

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Why you should not learn everything in Data Science

Team Data Science

"Since I started exploring Data Engineering, it has been overwhelming. In the end I have the feeling of giving up." This is a message that reached me from a viewer on YouTube. And that's exactly how I feel sometimes! Sometimes I feel a bit overwhelmed by the whole thing. Because there is so much going on. All the technology and Data Science hype. There is always something new on the horizon.

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The Power of Data and Analytic Processing Gravity

Teradata

Taking the definition of physical gravity & extending it to data analytics, we explore the opportunities to combine data gravity with analytic processing, at scale with Vantage.

Process 93

More Trending

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Finding the ‘good’ in 2020 and beyond

Cloudera

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects. The Data for Good category recognizes organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible in the past, possible today.

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Important countries and regions with Data Science demand

Team Data Science

In which regions or countries is there a boom in the field of Data Sciences and thus a large number of jobs? This is a very interesting question, which newcomers or graduates often ask themselves. Maybe you have already asked yourself this question? The USA as an advanced country Companies in the USA are obviously very, very advanced with Data Science.

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HDMI?—?Scaling Netflix Certification

Netflix Tech

HDMI?—?Scaling Netflix Certification Scott Bolter , Matthew Lehman , Akshay Garg ¹ At Netflix, we take the task of preserving the creative vision of our content all the way to a subscriber TV screen very seriously. This significantly increases the scope of our application integration and certification processes for streaming devices like set-top-boxes (STBs) and TVs.

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Activating Intent: How Confluent is Energizing Its Diversity, Equity, and Inclusion Practice

Confluent

As a South African, who grew up during the era of apartheid, I’ve witnessed firsthand the negative and long-lasting impact of discrimination, bias, and inequity, and I have a strong […].

IT 69
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Discover and Explore Data Faster with the CDP DDE Template

Cloudera

From a-z in 10 minutes! It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service.

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Why You Need Data Engineers And Data Scientists To Be Successful!

Team Data Science

Data Science , Artificial Intelligence and Machine Learning. These topics are currently the hype in the field of Data Science. Everyone wants to become a Data Scientist. But isn't the work being done in the field of Data Engineereing the real MVP? Isn't it important to have Data Scientists AND Data Engineers on board to make a project successful? Yes, it is!

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Helping traditional organizations being more efficient

DareData

The world of data science and information technology is a constantly evolving landscape, where dozens of new tools and methodologies are created and updated daily, and many others quickly become obsolete. Every organization has their own ecosystem of applications, but even the most advanced organizations sometimes fall behind in certain areas when compared to the bleeding edge of technological advances.

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Teradata Dynamic Resource Optimization – Both On-Premises and in the Cloud

Teradata

With Teradata Vantage on Azure, customers have access to the same dynamic resource optimization tools that they have come to love with the added agility that Azure brings to the table.

Cloud 52
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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CDP Private Cloud is a Game-changer for Partners

Cloudera

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. There’s nothing comparable to it in the industry. CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in an on-premise environment. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX).

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Workflow for creating a Data Engineering project and how you can build one!

Team Data Science

You want to become a data engineer, but don't know how to set up a data engineering project? I will show you! Do not make this mistake! First of all you should not make the mistake that unfortunately many people make! Often people want to build the whole thing from the beginning. They say: "Okay I need to do a project. I need to make a big thing. I don't even know what data and what tools I want to use.

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How real-time stream processing works with ksqlDB, in 7 animations

Confluent

ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®.

Process 52
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Accelerating Innovation in the Analytic Ecosystem: Simplicity

Teradata

In part 2 of this 3 part series on reducing conflict between business & IT to accelerate innovation, we focus on enabling simplicity for compute, storage and connectivity.

IT 52
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Preset & Superset User Documentation

Preset

Preset and Superset User Documentation is available for everyone that want to become a superset expert

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Edgar: Solving Mysteries Faster with Observability

Netflix Tech

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. by Elizabeth Carretto Everyone loves Unsolved Mysteries. There’s always someone who seems like the surefire culprit. There’s a clear motive, the perfect opportunity, and an incriminating footprint left behind.

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How ksqlDB works in 7 animations

Confluent

ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka.

Kafka 52
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Back to school – CEOs need to learn a new language, fast!

Teradata

CEOs of banks know all about change. But the existential challenge posed by Big Tech requires a totally new set of skills. What do they need to learn to survive?

Banking 52
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3

Cloudera

Article 3. The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. In the final installment in the series, Vijay Raja, Director of Industry & Solutions Marketing at Cloudera shares his views on how the telecom sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution?

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Key Challenges with Quasi Experiments at Netflix

Netflix Tech

Kamer Toker-Yildiz , Colin McFarland , Julia Glick At Netflix, when we can’t run A/B experiments we run quasi experiments ! We run quasi experiments with various objectives such as non-member experiments focusing on acquisition, member experiments focusing on member engagement, or video streaming experiments focusing on content delivery. Consolidating on one methodology could be a challenge, as we may face different design or data constraints or optimization goals.

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Offload Real-Time Reporting and Analytics from MongoDB Using PostgreSQL

Rockset

MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. However, these aggregation queries are frequently CPU-intensive and can block or delay the execution of other queries. For example, Online Transactional Processing (OLTP) queries are usually short read operations that have direct impacts on the user experience.

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Larry H Miller Sports & Entertainment

Teradata

The Utah Jazz create winning customer experiences using Teradata Vantage on AWS with consumption pricing for flexible and elastic modern cloud analytics.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

Service Management Group ( SMG ) offers an easy-to-use experience management (XM) platform that combines end-to-end customer and employee experience management software with hands-on professional services to deliver actionable insights and help brands get smarter about their customers. The XM platform, smg360 , helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes. .

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The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part III)

Cloudera

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how streaming data might impact the financial services sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s Data-in-Motion Business Unit.

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