Webinar
ABOUT THE WEBINAR
For years, companies have dumped data into their data lake and deferred organizing the data until a later period. To make this data useful for modern analytics, the data must be carefully structured and cataloged. And as more data is rapidly introduced, from log files and IoT sources due to volume, velocity, and variety, data must also be structured in the same way in the data lake. Delta Lake on Databricks provides a way to streamline these data pipelines so the data is instantly available for analysis.
- Understand what was a raw data lake & how the ACID transaction has become important for modern data lake using the features of Delta Lake.
- Understand delta lake time travel and schema enforcement.
- Streaming and Batch unification using delta lake.
- Get an overview of Spark’s metadata management in delta lake.
- Understand what can go wrong with core traditional data lake and how Delta lake can prevent a data lake to become a data swamp.
#About the Webinar:
Predictive Intelligence from Machine Learning (ML) has the potential to change everything in our day to day experiences, from business to leisure – making a huge difference in the way we live, work and play. Most real-world machine learning work involves very enormous – simply huge data sets that go beyond just the CPU, memory, and storage limitations of a single computer. Spark has been the go-to solution for enterprises that have to process extremely large data sets in an efficient and cost-effective manner.
In this webinar with Anirban, we learn how Apache Spark has revolutionized the way enterprises build and deploy predictive algorithms and how it has drastically reduced the time taken to operationalize ML models. With data coming in from multiple sources, an increase in the rise of new tools and technologies to process this data, the biggest challenge for organizations is to churn out the best business insights in real-time. While data scientists continue to work on these challenges and build models, much of their time is spent on supporting the data infrastructure instead of building models to solve their data problems.
Key takeaways:
- What is the speed and scalability that Spark brings for data scientists to solve and iterate through their data problems much faster than before?
- How does Spark ML alleviate many of the problems that are typically faced while moving from dev to production environments?
- How are data practitioners able to solve their ML problems at a much greater scale with Spark?
- Recognize some of the supervised and unsupervised machine learning tasks with Spark ML.
Predictive Intelligence from Machine Learning (ML) has the potential to change everything in our day to day experienceshttps://www.youtube.com/embed/7uP9YvyVbSAJoin NIIT Institute of Finance, Banking and Insurance and StackRoute for an informative webinar on Accelerating the BFSI Digital Transformation with Bimaljeet Singh Bhasin, President, NIIT Ltd. in conversation with Bijith Bhaskar, Head - Digital Channels and Partnerships, ICICI Bank and Jaya Janardanan, COO, Indostar Capital Finance on 3rd September 2020 from 3:00 to 4:00 pm.
ABOUT THE WEBINAR
Banking as a sector has seen many disruptions. it has played an integral part in evolutions from barter-style, paper currency, plastic money, electronic wire transfers, and mobile payments.
A new era has already emerged with API technologies that have redefined Banking while making Banks “near-invisible”. APIs underpin digital transformations in the Banking ecosystem by enabling new solutions and innovative business strategies. In an API ecosystem of today, an API strategy is a must for all Banks.
The webinar will focus on:
- How are APIs allowing banks to deliver greater value to their customers?
- What is the receptivity of Banks towards opening APIs?
- How do Banks choose to build or collaborate?
- How will Open Banking redefine banking in the future?
- Talent imperatives for the redefined Banking system
NIIT IFBI and StackRoute presents an Informative Webinarhttps://www.youtube.com/embed/XtQ4sxO0pQgAnticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents R Nagendra Prasad, Jayanth Lakavalli, Ravikiran Annaswamy and Sudeep Prasad on a live webcast, ‘The 9 to 5 of IR 4.0: Nine technologies transforming IR 4.0 and the Five actions to embrace IR 4.0’. | Wednesday, May 06 | 3:00 pm - 4:30 pm IST.
Key takeaways:
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On digital transformation initiatives and how they are driven by synergy of digital technologies and automation.
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How cutting-edge technologies create business opportunities to fulfil new customer requirements.
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Action to be taken for tapping the full potential of IR 4.0 for competitive advantage.
Nine technologies transforming IR 4.0 and the Five actions to embrace IR 4.0https://www.youtube.com/embed/3ThCQRYEeNIAnticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents Saurabh Gupta, Anirban Ghatak and Vijayananda on a live webcast: ‘Promising calmer waters: Common mistakes made with raw data lakes – Delta lake to the rescue!’ on Thursday, April 30, 3:00 to 4:30 PM(IST).
For years, enterprises have dumped data into their data lake and deferred organizing the data until later. To make this data useful for analytics, the data must be carefully structured and catalogued. And as more data is rapidly introduced, from log files and IoT sources, it must also be structured in the same way. Delta Lake on Data bricks provides a way to streamline these data pipelines so the data is instantly available for analysis.
Register now to listen to Saurabh Gupta present his views on how data lakes has become an integral part of enterprise digital transformation. Saurabh will also explain how delta lakes can overcome traditional data lake challenges.
Anirban will explain the power of Delta lake and how we can prevent a data lake to become a data swamp. Understand how delta lakes bring reliability to data lakes. Learn how delta lakes provide ACID transactions, unifies streaming and batch data processing. Get an overview about Spark’s metadata management in delta lake
Key takeaways:
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What are the fundamental differences between a primary and a secondary data lake?
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What the pre-conditions pertaining to a healthcare domain before the data enters into a delta lake?
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Are there aspects in a delta lake that are unique to healthcare domain?
Common Mistakes made with raw data lakes – Delta lakes to the rescuehttps://www.youtube.com/embed/n_0riekI2aE Anticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents Nagendra Prasad and Ravindranath on a live webcast, ‘Site Reliability Engineering: Becoming resilient to turbulent IT workloads with SRE’.
The fundamental requirement of a SRE is to create highly reliable and scalable software systems. Google’s approach to operating its production systems is fundamental to SRE practices. An interesting trivia to hit SRE in one line – Linkedin profile description by Benjamin Treynor Sloss, VP Engg at Google – “If google ever stops working, it is my fault”.
Software engineers and developers have always designed systems to make it work. SRE is about designing systems not only to anticipate failure but also to embrace it.
Key takeaways:
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The context of enterprise IT that has led to consider SRE as a strategic imperative.
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The need to proactively build and maintain more reliable services as a culture.
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How SRE principles and practices can build resiliency by leveraging automation?
Becoming resilient to turbulent IT workloads with SRE’https://www.youtube.com/embed/-keHpE6JKm8Anticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before. ‘Stay Ahead with StackRoute Webinars’ presents Nagendra Prasad, Anirban Ghatak and Sudeep Prasad on a live webcast on “Value Discovery through Analytics” Monday, April 20 | 8 pm - 9 pm IST.
The volume and variety of raw data generated and stored in enterprise databases is growing at a pace never known before. Data collection, storage and dissemination are built into daily operations of almost all enterprises. The domain of healthcare for example, has already generated a tsunami of quantitative and image data, driven by healthcare providers, hospitals, insurance, and regulatory and compliance establishments. And we continue to see datasets generated in the situation of the pandemic. All of us know and agree that competitive advantage lies with those who can unlock the knowledge hidden in the raw data and bring about new opportunities for themselves to sustain, gain and thrive in the market place. We do have a few points to ponder
Key takeaways:
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Are we getting value out of the data for actionable insights for increased marketing effective ness, improved experience excellence and increased revenues?
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Are we in the state of being “data rich” and “information poor”?
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Are we equipped enough to take the “value” out of data?
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This webcast will address the why, what and the how of “value discovery with analytics”.
https://www.youtube.com/embed/UlqFue-jDdAAnticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents Ravi Ramaswamy and Anirban Ghatak on a live webcast: ‘Deliver quality healthcare through data-driven medicine’: Why should you use Databricks for your next Healthcare analytics project?
The domain of healthcare generates large amounts of data, driven by healthcare providers, hospitals, insurance, and regulatory and compliance requirements. And we continue to see datasets generated in the situation of the pandemic. Access to information and technology, application of analytics, AI and ML over big data provide opportunities for actionable insights for improving the delivery of healthcare.
To understand how modern technologies are transforming healthcare, watch Anirban as he spins different Databricks clusters and leverages the power of Apache Spark to perform data analysis. Get insights on how data scientists can focus on improving patient outcomes by removing complexities of big data. Learn how databricks allows the processing of high volumes of healthcare data to deliver rich insights.
Key takeaways:
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what does it mean for healthcare organizations?
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How is the power of analytics married with strategic decision making?
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With smart science and technology, and good business, can we get the “care” back in “healthcare”?
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Can we see happier healthcare providers, healthier patients, improved physician-patient relationships?
Get the deepest insights from Ravi Ramaswamy, Senior Director and Head, Health Systems at Philips Innovation Campus as he shares his experiences and views on Healthcare Analytics and why it matters.
Why should you use Databricks for your next Healthcare analytics project?https://www.youtube.com/embed/6X6ZB8maX5EAnticipating tomorrow’s issues is a challenge. Maximising our capabilities and developing new ones to meet the needs of tomorrow is not. It is easier than ever before – ‘Stay Ahead with StackRoute Webinars’ presents Sudeep Prasad and Muralidhar Somishetty on a live webcast, Failure ain’t everything, it is a learning thing: Identifying and overcoming app development challenges.
Participants will hear perspectives on how the world is unforgiving of any app that cannot keep up with the customer and technology updates over its lifecycle. Participants will watch Sudeep and Murali interact over lifecycle considerations in app development, the science behind agility, transaction costs, batch-size and refactoring. Hear Murali present the challenges faced in his journey of app development for YogiFi.io – the “smart” yoga mat that has won many awards on the global stage of innovation.
Get valuable insights and practical knowledge as they share their experiences.
Key takeaways:
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Choice of the right platform keeping in mind the cost, target audience and user experience.
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Building a high performance app surviving through the design and scale requirements
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CI/CD, DevOps and Automation as important elements for Agile.
Identifying and overcoming app development challengeshttps://www.youtube.com/embed/sgGyEVjjdx8